<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD Journal Publishing DTD v2.3 20070202//EN" "journalpublishing.dtd">
<article article-type="research-article" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xml:lang="EN">
<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Radiol.</journal-id>
<journal-title>Frontiers in Radiology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Radiol.</abbrev-journal-title>
<issn pub-type="epub">2673-8740</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fradi.2024.1338418</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Radiology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Imaging of intracranial arterial disease: a comparison between MRI and unenhanced CT</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes"><name><surname>Lucci</surname><given-names>Carlo</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="cor1">&#x002A;</xref><uri xlink:href="https://loop.frontiersin.org/people/2580563/overview"/><role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/><role content-type="https://credit.niso.org/contributor-roles/data-curation/"/><role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/><role content-type="https://credit.niso.org/contributor-roles/investigation/"/><role content-type="https://credit.niso.org/contributor-roles/methodology/"/><role content-type="https://credit.niso.org/contributor-roles/project-administration/"/><role content-type="https://credit.niso.org/contributor-roles/visualization/"/><role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/></contrib>
<contrib contrib-type="author"><name><surname>Rissanen</surname><given-names>Ina</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref><uri xlink:href="https://loop.frontiersin.org/people/1742115/overview" /><role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/><role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/><role content-type="https://credit.niso.org/contributor-roles/investigation/"/><role content-type="https://credit.niso.org/contributor-roles/methodology/"/><role content-type="https://credit.niso.org/contributor-roles/project-administration/"/><role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/></contrib>
<contrib contrib-type="author"><name><surname>Takx</surname><given-names>Richard A. P.</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref><role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/><role content-type="https://credit.niso.org/contributor-roles/investigation/"/><role content-type="https://credit.niso.org/contributor-roles/methodology/"/><role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/></contrib>
<contrib contrib-type="author"><name><surname>van der Kolk</surname><given-names>Anja G.</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref><uri xlink:href="https://loop.frontiersin.org/people/1568235/overview" /><role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/><role content-type="https://credit.niso.org/contributor-roles/investigation/"/><role content-type="https://credit.niso.org/contributor-roles/methodology/"/><role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/></contrib>
<contrib contrib-type="author"><name><surname>Harteveld</surname><given-names>Anita A.</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref><role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/><role content-type="https://credit.niso.org/contributor-roles/investigation/"/><role content-type="https://credit.niso.org/contributor-roles/methodology/"/><role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/></contrib>
<contrib contrib-type="author"><name><surname>Dankbaar</surname><given-names>Jan W.</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref><uri xlink:href="https://loop.frontiersin.org/people/1090492/overview" /><role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/><role content-type="https://credit.niso.org/contributor-roles/investigation/"/><role content-type="https://credit.niso.org/contributor-roles/methodology/"/><role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/></contrib>
<contrib contrib-type="author"><name><surname>Geerlings</surname><given-names>Mirjam I.</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref><uri xlink:href="https://loop.frontiersin.org/people/174760/overview" /><role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/><role content-type="https://credit.niso.org/contributor-roles/investigation/"/><role content-type="https://credit.niso.org/contributor-roles/methodology/"/><role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/></contrib>
<contrib contrib-type="author"><name><surname>de Jong</surname><given-names>Pim A.</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref><role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/><role content-type="https://credit.niso.org/contributor-roles/investigation/"/><role content-type="https://credit.niso.org/contributor-roles/methodology/"/><role content-type="https://credit.niso.org/contributor-roles/supervision/"/><role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/></contrib>
<contrib contrib-type="author"><name><surname>Hendrikse</surname><given-names>Jeroen</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref><uri xlink:href="https://loop.frontiersin.org/people/885185/overview" /><role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/><role content-type="https://credit.niso.org/contributor-roles/funding-acquisition/"/><role content-type="https://credit.niso.org/contributor-roles/investigation/"/><role content-type="https://credit.niso.org/contributor-roles/methodology/"/><role content-type="https://credit.niso.org/contributor-roles/project-administration/"/><role content-type="https://credit.niso.org/contributor-roles/supervision/"/><role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/></contrib>
</contrib-group>
<aff id="aff1"><label><sup>1</sup></label><institution>Department of Radiology, University Medical Center Utrecht and Utrecht University</institution>, <addr-line>Utrecht</addr-line>, <country>Netherlands</country></aff>
<aff id="aff2"><label><sup>2</sup></label><institution>Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht and Utrecht University</institution>, <addr-line>Utrecht</addr-line>, <country>Netherlands</country></aff>
<aff id="aff3"><label><sup>3</sup></label><institution>Department of General Practice, Amsterdam UMC, Location University of Amsterdam</institution>, <addr-line>Amsterdam</addr-line>, <country>Netherlands</country></aff>
<aff id="aff4"><label><sup>4</sup></label><institution>Amsterdam Public Health, Aging &#x0026; Later Life, and Personalized Medicine</institution>, <addr-line>Amsterdam</addr-line>, <country>Netherlands</country></aff>
<aff id="aff5"><label><sup>5</sup></label><institution>Amsterdam Neuroscience, Neurodegeneration, and Mood, Anxiety, Psychosis, Stress, and Sleep</institution>, <addr-line>Amsterdam</addr-line>, <country>Netherlands</country></aff>
<author-notes>
<fn fn-type="edited-by"><p><bold>Edited by:</bold> Nico Sollmann, University of California, San Francisco, United States</p></fn>
<fn fn-type="edited-by"><p><bold>Reviewed by:</bold> Agostino Tessitore, University of Messina, Italy</p>
<p>Camilla Russo, Santobono-Pausilipon Children&#x2019;s Hospital, Italy</p></fn>
<corresp id="cor1"><label>&#x002A;</label><bold>Correspondence:</bold> Carlo Lucci <email>c.lucci@umcutrecht.nl</email></corresp>
<fn fn-type="other" id="fn001"><p><bold>Abbreviations</bold> iICA, intracranial internal carotid artery; BA, basilar artery; VA, vertebral artery; ACA, anterior cerebral artery; MCA, middle cerebral artery; PCA, posterior cerebral artery; PCOM, posterior communicating artery; IVI, Intracranial Vessel wall Imaging study; PIVI, Posterior Intracranial Vessel wall Imaging study.</p></fn>
</author-notes>
<pub-date pub-type="epub"><day>15</day><month>02</month><year>2024</year></pub-date>
<pub-date pub-type="collection"><year>2024</year></pub-date>
<volume>4</volume><elocation-id>1338418</elocation-id>
<history>
<date date-type="received"><day>14</day><month>11</month><year>2023</year></date>
<date date-type="accepted"><day>29</day><month>01</month><year>2024</year></date>
</history>
<permissions>
<copyright-statement>&#x00A9; 2024 Lucci, Rissanen, Takx, van der Kolk, Harteveld, Dankbaar, Geerlings, de Jong and Hendrikse.</copyright-statement>
<copyright-year>2024</copyright-year><copyright-holder>Lucci, Rissanen, Takx, van der Kolk, Harteveld, Dankbaar, Geerlings, de Jong and Hendrikse</copyright-holder><license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p></license>
</permissions>
<abstract>
<sec><title>Background and purpose</title>
<p>Arterial calcifications on unenhanced CT scans and vessel wall lesions on MRI are often used interchangeably to portray intracranial arterial disease. However, the extent of pathology depicted with each technique is unclear. We investigated the presence and distribution of these two imaging findings in patients with a history of cerebrovascular disease.</p>
</sec>
<sec><title>Materials and methods</title>
<p>We analyzed CT and MRI data from 78 patients admitted for stroke or TIA at our institution. Vessel wall lesions were assessed on 7&#x2005;T MRI sequences, while arterial calcifications were assessed on CT scans. The number of vessel wall lesions, severity of intracranial internal carotid artery (iICA) calcifications, and overall presence and distribution of the two imaging findings were visually assessed in the intracranial arteries.</p>
</sec>
<sec><title>Results</title>
<p>At least one vessel wall lesion or arterial calcification was assessed in 69 (88&#x0025;) patients. Only the iICA and vertebral arteries (VA) showed a substantial number of both calcifications and vessel wall lesions. The other vessels showed almost exclusively vessel wall lesions. The number of vessel wall lesions was associated with the severity of iICA calcification (<italic>p</italic>&#x2009;&#x003D;&#x2009;0.013).</p>
</sec>
<sec><title>Conclusions</title>
<p>The number of vessel wall lesions increases with the severity of iICA calcifications. Nonetheless, the distribution of vessel wall lesions on MRI and arterial calcifications on CT shows remarkable differences. These findings support the need for a combined approach to examine intracranial arterial disease.</p>
</sec>
</abstract>
<kwd-group>
<kwd>intracranial arterial calcification</kwd>
<kwd>stroke</kwd>
<kwd>vessel wall imaging MRI</kwd>
<kwd>CT scan (CT)</kwd>
<kwd>magnetic resonance imaging (MRI)</kwd>
</kwd-group>
<contract-sponsor id="cn001">Dutch Heart Foundation and the Netherlands Organization for Scientific Research (NWO)</contract-sponsor>
<contract-sponsor id="cn002">PPP Allowance</contract-sponsor>
<contract-sponsor id="cn003">Top Sector Life Sciences &#x0026; Health to the Dutch Heart foundation</contract-sponsor>
<counts>
<fig-count count="4"/>
<table-count count="1"/><equation-count count="0"/><ref-count count="30"/><page-count count="0"/><word-count count="0"/></counts><custom-meta-wrap><custom-meta><meta-name>section-at-acceptance</meta-name><meta-value>Neuroradiology</meta-value></custom-meta></custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro"><title>Introduction</title>
<p>Intracranial arterial disease is a major cause of ischemic cerebrovascular disease worldwide (<xref ref-type="bibr" rid="B1">1</xref>). While angiographic techniques are traditionally used to depict vessel lumen and identify stenosis, they are not suited to examine the arterial wall where the disease originates (<xref ref-type="bibr" rid="B2">2</xref>). Intracranial arterial disease can also manifest with non-stenosing lesions, and the composition of lesions can differ (<xref ref-type="bibr" rid="B3">3</xref>). Therefore, focusing exclusively on stenosis to define intracranial arterial disease can hamper progress in understanding this major disease (<xref ref-type="bibr" rid="B4">4</xref>).</p>
<p>Two imaging techniques are available that can provide information on the intracranial arterial wall. Unenhanced CT is the best method to visualize calcifications, while high-resolution intracranial vessel wall MR sequences are superior to CT angiography in visualizing vessel wall lesions, defined as focal or concentric thickenings of the arterial wall (<xref ref-type="bibr" rid="B5">5</xref>). These two imaging proxies of intracranial arterial disease are often used interchangeably to describe &#x201C;intracranial atherosclerosis&#x201D;. However, they depict various stages of arterial disease and sometimes different etiologies. Calcification occurs in atherosclerotic plaque formation, as well as in non-atherosclerotic diseases like M&#x00F6;nckeberg&#x0027;s calcification (<xref ref-type="bibr" rid="B6">6</xref>&#x2013;<xref ref-type="bibr" rid="B8">8</xref>). In contrast, vessel wall lesions are due to infiltration of inflammatory mediators and lipid deposition in response to endothelial damage that marks the beginning of the atherosclerotic remodeling in most cases (<xref ref-type="bibr" rid="B9">9</xref>&#x2013;<xref ref-type="bibr" rid="B12">12</xref>). Therefore, a clear understanding of intracranial arterial disease, as illustrated by these two imaging findings, is still required.</p>
<p>To shed light on the relation between intracranial calcifications and vessel wall lesions and their potential to depict intracranial arterial disease, the current study compared the presence and distribution of these two imaging findings in a cohort of patients with known cerebrovascular disease using unenhanced CT and 7&#x2005;T MRI.</p>
</sec>
<sec id="s2" sec-type="methods"><title>Materials and methods</title>
<sec id="s2a"><title>Participants</title>
<p>For this study, we combined data from two clinical studies conducted at our institution: the Intracranial Vessel wall Imaging (IVI) study (62 patients) and the Posterior Intracranial Vessel wall Imaging (PIVI) study (16 patients). The IVI study included patients aged 18 years and older with a clinical history of acute ischemic stroke with a total or partial anterior circulation infarct or with a transient ischemic attack (TIA) which displayed symptoms related to the anterior circulation. The PIVI study included patients aged 18 years and older with ischemic stroke or TIA affecting the posterior cerebral circulation. Additional information on study inclusion and exclusion criteria, diagnostic criteria, and a flowchart of the study samples are provided in the <xref ref-type="sec" rid="s11">Supplementary  material</xref>. Both studies were approved by the review board of our institution, and written informed consent was obtained from all patients (<xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B13">13</xref>).</p>
<p>As part of the protocol for both the IVI and PIVI study, all patients underwent 7&#x2005;T MRI, including an intracranial vessel wall MRI sequence, within three months of onset of cerebrovascular symptoms. To undergo the 7&#x2005;T MRI protocol only TIA patients or patients with minor to moderate stroke could be included as reflected by a NIH stroke scale at 1 week from the cerebrovascular event in the IVI study population of 5 points. Additionally, all patients admitted to our hospital with a possible cerebrovascular event underwent an unenhanced CT and a CT angiography as part of the clinical work-up for suspected cerebrovascular events. The CT examinations performed at our institution were retrieved and included in this study for analysis.</p>
</sec>
<sec id="s2b"><title>MRI protocol</title>
<p>The MRI was conducted on a 7&#x2005;T whole-body system (Philips Healthcare, Best, The Netherlands) with either a 16-channel (until May 2015) or 32-channel receive coil and volume transmit/receive coil for transmission (Nova Medical, Wilmington, MA, USA). Concerning the IVI study, for patients (<italic>n</italic>&#x2009;&#x003D;&#x2009;31) included until mid-July 2011 a reduced FOV 3D T1-weighted magnetization-prepared inversion recovery turbo spin echo (MPIR-TSE) sequence for visualization of the vessel wall was used, which excluded visualization of part of the basilar artery (BA) and vertebral arteries (VA). The scan parameters of this sequence have been described previously; in short, these were: FOV 220&#x2009;&#x00D7;&#x2009;180&#x2009;&#x00D7;&#x2009;13&#x2005;mm<sup>3</sup> in the transverse plane, acquired resolution 0.8&#x2009;&#x00D7;&#x2009;0.8&#x2009;&#x00D7;&#x2009;0.8&#x2005;mm<sup>3</sup>, TSE factor&#x002B;startup echoes 116, TR/TI/TE 6050/1770/80&#x2005;ms, number of signal averages 2, and acquisition time &#x223C;12&#x2005;min (<xref ref-type="bibr" rid="B14">14</xref>). Due to technical developments, the remaining patients included in the IVI study (<italic>n</italic>&#x2009;&#x003D;&#x2009;31) and all patients in the PIVI study (<italic>n</italic>&#x2009;&#x003D;&#x2009;16) underwent a whole-brain 3D T1-weighted MPIR-TSE vessel wall sequence including the BA and VA. The scan parameters applied were: FOV 250&#x2009;&#x00D7;&#x2009;250&#x2009;&#x00D7;&#x2009;190&#x2005;mm<sup>3</sup> in sagittal plane, acquired resolution 0.8&#x2009;&#x00D7;&#x2009;0.8&#x2009;&#x00D7;&#x2009;0.8&#x2005;mm<sup>3</sup>, TR/TI/TE 3952/1375/37&#x2005;ms, TSE factor&#x002B;startup echoes 168, number of signal averages 2, and acquisition time &#x223C;11&#x2005;min.</p>
</sec>
<sec id="s2c"><title>CT protocol</title>
<p>Unenhanced CT and CTA images were obtained using either a Philips Brilliance 64-slice or iCT 256-slice CT scanner (Philips Healthcare, Best, The Netherlands) at 80&#x2013;120&#x2005;kVP and 250&#x2005;mAs (adjusted based on patient body composition).</p>
</sec>
<sec id="s2d"><title>MRI assessment</title>
<p>The detailed scoring method of vessel wall lesions and measures of agreement between the raters have been previously described. Results of the interim analyses have been published (<xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B13">13</xref>). The presence of one or more vessel wall lesions was assessed at 23 sites throughout the intracranial arterial circulation, which were subsequently grouped in 7 artery types (<xref ref-type="sec" rid="s11">Supplementary material</xref>). According to previous literature, these segments can be divided according to their dimensions in large (MCA, ICA, VA and BA), medium (ACA and PCA) and small (PCOM) (<xref ref-type="bibr" rid="B15">15</xref>). The definition of a vessel wall lesion was either a focal or diffuse thickening of the vascular wall compared to the healthy contralateral or contiguous wall. The presence or absence of enhancement after administration of Gadolinium contrast agent was also assessed in the original studies. However, since vessel wall enhancement can be observed in atherosclerosis, as well as in other inflammatory and non-inflammatory diseases of the brain vasculature (i.e., vasculitis, amyloid deposition) (<xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B17">17</xref>), we decided to remove this from our current analysis. <xref ref-type="fig" rid="F1">Figure&#x00A0;1</xref> shows an example of an intracranial vessel wall lesion detected on 7&#x2005;T MRI.</p>
<fig id="F1" position="float"><label>Figure 1</label>
<caption><p>Imaging proxies of intracranial arterial disease. (<bold>A</bold>,<bold>E</bold>) Example of intracranial artery calcification on axial non-contrast head CT. (<bold>B</bold>,<bold>F</bold>) Example of vessel wall lesions on 7&#x2005;T MRI. Zoomed images show: (<bold>C</bold>) a thick arterial calcification in the right ICA segment; (<bold>D</bold>) two calcified spots in the left VA segment; (<bold>G</bold>) a vessel wall lesion in the right ICA; (<bold>H</bold>) vessel wall lesion affecting a portion of the left VA.</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fradi-04-1338418-g001.tif"/>
</fig>
</sec>
<sec id="s2e"><title>CT assessment</title>
<p>We analyzed unenhanced CT images of the cranium from the skull base to the vertex, reconstructed with a slice thickness ranging from 0.625 to 1&#x2005;mm. The presence of calcification was evaluated as yes or no in the 23 sites of the intracranial arterial circulation by one neuroradiologist (JWD&#x2014;more than 10 years of experience). The CTA images were used to aid in identifying the specific arteries. In addition, the severity of calcification in the intracranial internal carotid artery (iICA) was determined by one rater (CL&#x2014;3 years of experience), according to the Woodcock score [15]. This scale distinguishes four levels of calcification severity according to thickness and continuity: absent, mild, moderate, and severe. The score is easy to learn and has been thoroughly validated, showing extremely high intra- and inter-rater reliability (<xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B19">19</xref>). Therefore, we decided not to repeat the scoring between raters. Both raters were blinded to the clinical data and the vessel wall MRI assessment. The images were analyzed with free adjustment of the viewing plane via MPR and window level settings, using Sectra Workstation IDS7 19.3 (Sectra AB, Link&#x00F6;ping, Sweden). <xref ref-type="fig" rid="F1">Figure&#x00A0;1</xref> displays an example of intracranial arterial calcifications detected on CT.</p>
</sec>
<sec id="s2f"><title>Statistical analysis</title>
<p>First, we described the baseline patient characteristics of the study sample. Second, we assessed the overlap and differences in the distribution of vessel wall lesions and calcification for each arterial segment available, distinguishing absence of any imaging finding, exclusive vessel wall lesions, exclusive calcifications, or co-existence of the two. Third, to determine whether arterial disease as depicted by vessel wall lesions on MRI correlates with calcifications on CT, we used the Woodcock score in the ICA as a surrogate for the overall intracranial extent of calcifications. We then used the Jonckheere-Terpstra test (TJT) for ordered alternatives to test this relationship. Results were statistically significant at a <italic>p</italic>-value of &#x2264;0.05. We used IBM SPSS Statistics (version 25 for Windows, IBM Corporation, Armonk, NY, USA) for the statistical analysis.</p>
</sec>
</sec>
<sec id="s3" sec-type="results"><title>Results</title>
<p>The mean age of the study sample (<italic>n</italic>&#x2009;&#x003D;&#x2009;78) was 60&#x2009;&#x00B1;&#x2009;13 years, and 44&#x0025; were women. <xref ref-type="table" rid="T1">Table&#x00A0;1</xref> presents the baseline characteristics of the IVI and PIVI study patients. Of all patients, 58 (75&#x0025;) had a stroke, 19 (24&#x0025;) had a TIA, and 1 (1&#x0025;) had another ischemic event. One-third of patients had received thrombolytic treatment. The median time between symptoms and the 7&#x2005;T MRI examination was 6 days (10&#x2013;90 percentile, 2&#x2013;65), and 0 days for the CT examination (10&#x2013;90 percentile, 0&#x2013;5).</p>
<table-wrap id="T1" position="float"><label>Table 1</label>
<caption><p>Baseline characteristics of the study sample.</p></caption>
<table frame="hsides" rules="groups">
<colgroup>
<col align="left"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left">Baseline characteristics</th>
<th valign="top" align="center">All (<italic>n</italic>&#x2009;&#x003D;&#x2009;78)</th>
<th valign="top" align="center">IVI study (<italic>n</italic>&#x2009;&#x003D;&#x2009;62)</th>
<th valign="top" align="center">PIVI study (<italic>n</italic>&#x2009;&#x003D;&#x2009;16)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Age, years</td>
<td valign="top" align="center">59 (41&#x2013;75)</td>
<td valign="top" align="center">60 (41&#x2013;76)</td>
<td valign="top" align="center">57 (45&#x2013;73)</td>
</tr>
<tr>
<td valign="top" align="left">Women, <italic>n</italic> (&#x0025;)</td>
<td valign="top" align="center">34 (44)</td>
<td valign="top" align="center">31 (50)</td>
<td valign="top" align="center">3 (19)</td>
</tr>
<tr>
<td valign="top" align="left">Body mass index, kg/m<sup>2</sup></td>
<td valign="top" align="center">25 (21&#x2013;31)</td>
<td valign="top" align="center">26 (21&#x2013;32)</td>
<td valign="top" align="center">25 (21&#x2013;29)</td>
</tr>
<tr>
<td valign="top" align="left">Hyperlipidemia, <italic>n</italic> (&#x0025;)</td>
<td valign="top" align="center">34 (44)</td>
<td valign="top" align="center">23 (37)</td>
<td valign="top" align="center">11 (67)</td>
</tr>
<tr>
<td valign="top" align="left">Diabetes mellitus, <italic>n</italic> (&#x0025;)</td>
<td valign="top" align="center">10 (13)</td>
<td valign="top" align="center">8 (13)</td>
<td valign="top" align="center">2 (13)</td>
</tr>
<tr>
<td valign="top" align="left">Hypertension, <italic>n</italic> (&#x0025;)</td>
<td valign="top" align="center">38 (49)</td>
<td valign="top" align="center">32 (52)</td>
<td valign="top" align="center">6 (38)</td>
</tr>
<tr>
<td valign="top" align="left">Smoking, <italic>n</italic> (&#x0025;)</td>
<td valign="top" align="center">24 (31)</td>
<td valign="top" align="center">21 (34)</td>
<td valign="top" align="center">3 (19)</td>
</tr>
<tr>
<td valign="top" align="left">Stroke</td>
<td valign="top" align="center">58 (74)</td>
<td valign="top" align="center">44 (71)</td>
<td valign="top" align="center">14 (88)</td>
</tr>
<tr>
<td valign="top" align="left">TIA</td>
<td valign="top" align="center">19 (24)</td>
<td valign="top" align="center">17 (27)</td>
<td valign="top" align="center">2 (13)</td>
</tr>
<tr>
<td valign="top" align="left">Thrombolytic treatment</td>
<td valign="top" align="center">25 (33)</td>
<td valign="top" align="center">20 (33)</td>
<td valign="top" align="center">5 (33)</td>
</tr>
<tr>
<td valign="top" align="left">Time event to MRI, days</td>
<td valign="top" align="center">6 (2&#x2013;65)</td>
<td valign="top" align="center">5 (1&#x2013;43)</td>
<td valign="top" align="center">41 (18&#x2013;95)</td>
</tr>
<tr>
<td valign="top" align="left">Time event to CT, days</td>
<td valign="top" align="center">0 (0&#x2013;3)</td>
<td valign="top" align="center">0 (0&#x2013;3)</td>
<td valign="top" align="center">0 (0&#x2013;35)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="table-fn1"><p>Data are shown as number (percentage) or median (10&#x2013;90 percentiles).</p></fn>
</table-wrap-foot>
</table-wrap>
<sec id="s3a"><title>Distribution of vessel wall lesions and arterial calcifications</title>
<p>The median number of vessel wall lesions per patient on MRI was 3 (range 0&#x2013;23). Of patients, 89&#x0025; (69/78) showed at least one arterial segment with a vessel wall lesion, and 89&#x0025; (69/78) showed at least one calcified intracranial artery. ICA calcifications were mild in 22 patients, moderate in 38, and severe in 9 patients, while 9 patients presented with no calcifications at all. <xref ref-type="sec" rid="s11">Supplementary material</xref> provides counts and percentages of vessel wall lesions on MRI and calcifications on CT for each artery type.</p>
</sec>
<sec id="s3b"><title>Correlation between the imaging proxies</title>
<p>Sixty-two of the 78 patients presented with both vessel wall lesions and arterial calcifications: 14 patients showed calcification without any vessel wall lesion (<italic>n</italic>&#x2009;&#x003D;&#x2009;7) or vessel wall lesion(s) without calcification (<italic>n</italic>&#x2009;&#x003D;&#x2009;7); 2 patients did not show any presence of intracranial arterial disease. <xref ref-type="fig" rid="F2">Figure&#x00A0;2</xref> shows a significantly higher median burden of vessel wall lesions in patients with severe calcification of the iICA on the Woodcock score (TJT-statistic&#x2009;&#x003D;&#x2009;1.26, <italic>z</italic>&#x2009;&#x003D;&#x2009;2.48, <italic>p</italic>&#x2009;&#x003D;&#x2009;0.013). No statistical difference was noted between the burden and vessel wall lesions and absent, mild, and moderate levels of iICA calcification as assessed by the Woodcock score.</p>
<fig id="F2" position="float"><label>Figure 2</label>
<caption><p>Bar graph showing the relation between vessel wall lesion burden and calcification severity in the internal carotid artery. Extreme values have been excluded from the image for better illustration of the trend of the association.</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fradi-04-1338418-g002.tif"/>
</fig>
</sec>
<sec id="s3c"><title>Overlap and differences between the imaging proxies</title>
<p><xref ref-type="fig" rid="F3">Figure&#x00A0;3</xref> shows the minor overlap and major differences between the two imaging proxies of intracranial arterial disease. Only the iICA and the VA showed a substantial number of calcifications as well as vessel wall lesions while the other vessels (ACA, MCA, PCA, and PCOM) showed almost exclusively vessel wall lesions. 32&#x0025; of the iICA arterial segments showed both calcifications and vessel wall lesions, 51&#x0025; showed only calcification, and few segments (3&#x0025;) showed exclusive vessel wall lesions. In 22&#x0025; of the VA, both imaging proxies occurred together, 29&#x0025; showed exclusively vessel wall lesions, and 12&#x0025; manifested exclusive calcifications. 3&#x0025; of the BA segments presented exclusive calcifications, while 57&#x0025; showed only vessel wall lesions.</p>
<fig id="F3" position="float"><label>Figure 3</label>
<caption><p>Graph showing the distribution of intracranial vessel wall lesions and arterial calcifications in 7 different arterial segments. Data from left and right segments are showed together. ACA, anterior cerebral artery; MCA, middle cerebral artery; PCA, posterior cerebral artery; PCOM, posterior communicating artery; BA, basilar artery; VA, vertebral artery. Left and right segments taken together (if applicable).</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fradi-04-1338418-g003.tif"/>
</fig>
</sec>
</sec>
<sec id="s4" sec-type="discussion"><title>Discussion</title>
<p>This study assessed the intracranial distribution of arterial calcifications on unenhanced CT and vessel wall lesions on 7&#x2005;T MRI in patients with known cerebrovascular disease. We found major differences between the distribution of these imaging findings that are frequently used as intracranial atherosclerotic disease indicators and only a significant association of severe iICA calcification as defined by the Woodcock score and the overall burden of MRI vessel wall lesions.</p>
<sec id="s4a"><title>Calcifications vs. vessel wall lesions</title>
<p>The overall burden of vessel wall lesions in the intracranial arterial circulation is associated with the severity of iICA calcifications. Severe carotid artery calcification in stroke patients could help identify patients eligible for an MRI vessel wall examination in the clinical setting given the higher burden of non-calcified intracranial arterial disease these patients might carry. However, vessel wall pathology assessed with MRI showed a profoundly different distribution pattern compared to arterial calcification on unenhanced CT. Advanced atherosclerotic plaques (fibrous and calcified) affect mainly the large arteries of the brain (namely iICA, VA, BA, and MCA) while medium and small arteries (ACA, PCA, and PCOM) are more affected by early-stage atherosclerotic lesions (manifesting only as intimal thickening and fatty streaks).</p>
<p>The iICA showed calcification in 84&#x0025; of cases vs. approximately 35&#x0025; that showed vessel wall lesions, while in the VA approximately 30&#x0025; of segments presented with calcifications vs. ca. 50&#x0025; that had vessel wall lesions. The discrepancy between anterior and posterior circulation could be due to the reliability of MR vessel wall lesion assessment in the internal carotid artery, which has the lowest reliability due to its tortuous course and location at the skull base. Severe calcifications could also hamper evaluation of vessel wall thickness. Arterial wall lesions in the anterior brain vasculature could be left unidentified and cause underestimation of total disease burden.</p>
</sec>
<sec id="s4b"><title>Distribution of imaging proxies of intracranial arterial disease</title>
<p>From previous literature, overall prevalence of arterial calcifications is highest in the iICA (&#x223C;60&#x0025;) followed by the VA (&#x223C;20&#x0025;), MCA (&#x223C;5&#x0025;), and BA (&#x223C;5&#x0025;), while the PCA and ACA are rarely affected (<xref ref-type="bibr" rid="B18">18</xref>). The distribution of arterial calcification in our study sample follows the same pattern, albeit with an overall higher frequency of calcifications due to the selection of patients with known cerebrovascular disease. Intracranial artery calcifications are more prevalent in stroke patients and are recognized as an independent risk factor for stroke (<xref ref-type="bibr" rid="B20">20</xref>&#x2013;<xref ref-type="bibr" rid="B22">22</xref>). A study of patients with internal carotid artery stenosis &#x2265;60&#x0025; found that calcified atherosclerotic plaques in the carotid artery were 21 times less likely to be symptomatic compared to non-calcified plaques, even after adjusting for traditional cardiovascular risk factors (<xref ref-type="bibr" rid="B5">5</xref>, <xref ref-type="bibr" rid="B23">23</xref>). This evidence suggests that the presence of calcification alone is not sufficient for accurately predicting cerebrovascular disease.</p>
<p>Intracranial vessel wall imaging has seen a recent growth in popularity for the characterization of vessel wall pathology (<xref ref-type="bibr" rid="B24">24</xref>). The prevalence of at least one intracranial vessel wall lesion was estimated to be around 40&#x0025; in a recent population-based study focusing on vessel wall MRI (<xref ref-type="bibr" rid="B25">25</xref>). In the current study, performed in patients with known history of ischemic stroke or TIA, we found an overall prevalence of 89&#x0025;. This may be due to the use of 7&#x2005;T MRI data, which has shown to be more sensitive to subtle thickening of the intracranial vessel wall (<xref ref-type="bibr" rid="B26">26</xref>). Additionally, patients with known cerebrovascular disease were selected, which increases the likelihood of a higher burden of intracranial arterial disease (<xref ref-type="bibr" rid="B27">27</xref>). Therefore the use of vessel wall MRI is certainly valuable for secondary prevention of ischemic events. However, the prognostic value of vessel wall lesions assessment <italic>in vivo</italic> in still asymptomatic patients has not yet been established.</p>
</sec>
<sec id="s4c"><title>Strengths and limitations</title>
<p>This study is among the first to investigate two imaging proxies of intracranial arterial disease thanks to the availability of both clinically acquired unenhanced CT and vessel wall MRI data in patients with known cerebrovascular disease. While recent 3&#x2005;T studies also showed the ability to depict vessel wall lesions with high accuracy, 7&#x2005;T MRI proved to be more sensitive to small vessel wall lesions due to its higher spatial resolution and contrast-to-noise ratio (<xref ref-type="bibr" rid="B27">27</xref>, <xref ref-type="bibr" rid="B28">28</xref>).</p>
<p>There are several limitations to the current investigation that deserve mention. Our analyses were performed on a relatively small group of stroke/TIA patients with good physical status, which may not reflect the severe stroke population. Nonetheless, including healthier patients would only dilute the correlation we found, not invalidate our results. Additionally, obtaining histological data in patients with intracranial atherosclerosis is virtually impossible, which limits the possibility of confirming the nature of our imaging findings. We focus only on intracranial arteries without providing information about extracranial arterial disease which is known to be a significant risk factor for stroke (<xref ref-type="bibr" rid="B29">29</xref>). However, previous research shows that the risk factors for intracranial and extracranial arterial disease are different (<xref ref-type="bibr" rid="B30">30</xref>) and therefore might depict different causes of arterial disease. Future studies are needed to assess the distribution and the relation between these imaging findings in intracranial and extracranial arteries.</p>
</sec>
</sec>
<sec id="s5" sec-type="conclusions"><title>Conclusion</title>
<p>We discovered a significant relationship between the severity of arterial calcifications and vessel wall lesions in intracranial arteries. That being said, we also noticed significant differences in the distribution of intracranial arterial calcification on CT scans and arterial lesion assessments on vessel wall MRI. The differences suggest that these two imaging findings might depict different types of intracranial diseases, in light of the recent findings of intracranial non-atherosclerotic medial calcification, or various stages of atherosclerotic disease. Therefore, a combination of both imaging modalities could provide complementary information to non-invasively depict the real burden of intracranial arterial disease considering its relation with an increasing risk of stroke.</p>
</sec>
</body>
<back>
<sec id="s6" sec-type="data-availability"><title>Data availability statement</title>
<p>The data analyzed in this study is subject to the following licenses/restrictions: Patient data. Requests to access these datasets should be directed to Jeroen Hendrikse, <email>j.hendrikse@umcutrecht.nl</email>.</p>
</sec>
<sec id="s7" sec-type="ethics-statement"><title>Ethics statement</title>
<p>The studies involving humans were approved by Ethics committee of UMC Utrecht. The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study.</p>
</sec>
<sec id="s8" sec-type="author-contributions"><title>Author contributions</title>
<p>CL: Conceptualization, Data curation, Formal Analysis, Investigation, Methodology, Project administration, Visualization, Writing &#x2013; original draft. IR: Conceptualization, Formal Analysis, Investigation, Methodology, Project administration, Writing &#x2013; review &#x0026; editing. RAPT: Conceptualization, Investigation, Methodology, Writing &#x2013; review &#x0026; editing. AGvdK: Conceptualization, Investigation, Methodology, Writing &#x2013; review &#x0026; editing. AH: Conceptualization, Investigation, Methodology, Writing &#x2013; review &#x0026; editing. JWD: Conceptualization, Investigation, Methodology, Writing &#x2013; review &#x0026; editing. MIG: Conceptualization, Investigation, Methodology, Supervision, Writing &#x2013; review &#x0026; editing. PAdJ: Conceptualization, Investigation, Methodology, Supervision, Writing &#x2013; review &#x0026; editing. JH: Conceptualization, Funding acquisition, Investigation, Methodology, Project administration, Supervision, Writing &#x2013; review &#x0026; editing.</p>
</sec>
<sec id="s9" sec-type="funding-information"><title>Funding</title>
<p>The author(s) declare financial support was received for the research, authorship, and/or publication of this article.</p>
<p>This research has been made possible by the Dutch Heart Foundation and the Netherlands Organization for Scientific Research (NWO), as part of their joint strategic research program: &#x201C;Earlier recognition of cardiovascular diseases&#x201D;. This project is partially financed by the PPP Allowance made available by Top Sector Life Sciences &#x0026; Health to the Dutch Heart foundation to stimulate public-private partnerships.</p>
</sec>
<ack><title>Acknowledgments</title>
<p>We thank Arjen Lindenholz and Nikki Dieleman for their support in data collection and files management.</p>
</ack>
<sec id="s10" sec-type="COI-statement"><title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s12" sec-type="disclaimer"><title>Publisher&#x0027;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<sec id="s11" sec-type="supplementary-material"><title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fradi.2024.1338418/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fradi.2024.1338418/full&#x0023;supplementary-material</ext-link></p>
<supplementary-material id="SD1" content-type="local-data">
<media mimetype="application" mime-subtype="pdf" xlink:href="Datasheet1.pdf"/>
</supplementary-material>
</sec>
<ref-list><title>References</title>
<ref id="B1"><label>1.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Arenillas</surname><given-names>JF</given-names></name></person-group>. <article-title>Intracranial atherosclerosis</article-title>. <source>Stroke</source>. (<year>2011</year>) <volume>42</volume>:<fpage>S20</fpage>&#x2013;<lpage>3</lpage>. <pub-id pub-id-type="doi">10.1161/STROKEAHA.110.597278</pub-id><pub-id pub-id-type="pmid">21164126</pub-id></citation></ref>
<ref id="B2"><label>2.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Holmstedt</surname><given-names>CA</given-names></name><name><surname>Turan</surname><given-names>TN</given-names></name><name><surname>Chimowitz</surname><given-names>MI</given-names></name></person-group>. <article-title>Atherosclerotic intracranial arterial stenosis: risk factors, diagnosis, and treatment</article-title>. <source>Lancet Neurol</source>. (<year>2013</year>) <volume>12</volume>(<issue>11</issue>):<fpage>1106</fpage>&#x2013;<lpage>14</lpage>. <pub-id pub-id-type="doi">10.1016/S1474-4422(13)70195-9</pub-id><pub-id pub-id-type="pmid">24135208</pub-id></citation></ref>
<ref id="B3"><label>3.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Qureshi</surname><given-names>AI</given-names></name><name><surname>Caplan</surname><given-names>LR</given-names></name></person-group>. <article-title>Intracranial atherosclerosis</article-title>. <source>Lancet</source>. (<year>2014</year>) <volume>383</volume>(<issue>9921</issue>):<fpage>984</fpage>&#x2013;<lpage>98</lpage>. <pub-id pub-id-type="doi">10.1016/S0140-6736(13)61088-0</pub-id><pub-id pub-id-type="pmid">24007975</pub-id></citation></ref>
<ref id="B4"><label>4.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Leng</surname><given-names>X</given-names></name><name><surname>Wong</surname><given-names>KS</given-names></name><name><surname>Liebeskind</surname><given-names>DS</given-names></name></person-group>. <article-title>Evaluating intracranial atherosclerosis rather than intracranial stenosis</article-title>. <source>Stroke</source>. (<year>2014</year>) <volume>45</volume>(<issue>2</issue>):<fpage>645</fpage>&#x2013;<lpage>51</lpage>. <pub-id pub-id-type="doi">10.1161/STROKEAHA.113.002491</pub-id><pub-id pub-id-type="pmid">24399377</pub-id></citation></ref>
<ref id="B5"><label>5.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Saba</surname><given-names>L</given-names></name><name><surname>Yuan</surname><given-names>C</given-names></name><name><surname>Hatsukami</surname><given-names>TS</given-names></name><name><surname>Balu</surname><given-names>N</given-names></name><name><surname>Qiao</surname><given-names>Y</given-names></name><name><surname>DeMarco</surname><given-names>JK</given-names></name><etal/></person-group> <article-title>Carotid artery wall imaging: perspective and guidelines from the ASNR vessel wall imaging study group and expert consensus recommendations of the American society of neuroradiology</article-title>. <source>Am J Neuroradiol</source>. (<year>2018</year>) <volume>39</volume>(<issue>2</issue>):<fpage>E9</fpage>&#x2013;<lpage>E31</lpage>. <pub-id pub-id-type="doi">10.3174/ajnr.A5488</pub-id><pub-id pub-id-type="pmid">29326139</pub-id></citation></ref>
<ref id="B6"><label>6.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Wen-Jie</surname><given-names>Y</given-names></name><name><surname>Ka-Sing</surname><given-names>W</given-names></name><name><surname>Xiang-Yan</surname><given-names>C</given-names></name></person-group>. <article-title>Intracranial atherosclerosis: from microscopy to high-resolution magnetic resonance imaging</article-title>. <source>J Stroke</source>. (<year>2017</year>) <volume>19</volume>(<issue>3</issue>):<fpage>249</fpage>&#x2013;<lpage>60</lpage>. <pub-id pub-id-type="doi">10.5853/jos.2016.01956</pub-id><pub-id pub-id-type="pmid">28877564</pub-id></citation></ref>
<ref id="B7"><label>7.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Vos</surname><given-names>A</given-names></name><name><surname>Van Hecke</surname><given-names>W</given-names></name><name><surname>Spliet</surname><given-names>WGM</given-names></name><name><surname>Goldschmeding</surname><given-names>R</given-names></name><name><surname>Isgum</surname><given-names>I</given-names></name><name><surname>Kockelkoren</surname><given-names>R</given-names></name><etal/></person-group> <article-title>Predominance of nonatherosclerotic internal elastic lamina calcification in the intracranial internal carotid artery</article-title>. <source>Stroke</source>. (<year>2016</year>) <volume>47</volume>(<issue>1</issue>):<fpage>221</fpage>&#x2013;<lpage>3</lpage>. <pub-id pub-id-type="doi">10.1161/STROKEAHA.115.011196</pub-id><pub-id pub-id-type="pmid">26514193</pub-id></citation></ref>
<ref id="B8"><label>8.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Kockelkoren</surname><given-names>R</given-names></name><name><surname>Vos</surname><given-names>A</given-names></name><name><surname>Van Hecke</surname><given-names>W</given-names></name><name><surname>Vink</surname><given-names>A</given-names></name><name><surname>Bleys</surname><given-names>RLAW</given-names></name><name><surname>Verdoorn</surname><given-names>D</given-names></name><etal/></person-group> <article-title>Computed tomographic distinction of intimal and medial calcification in the intracranial internal carotid artery</article-title>. <source>PLoS One</source>. (<year>2017</year>) <volume>12</volume>(<issue>1</issue>):<fpage>e0168360</fpage>. <pub-id pub-id-type="doi">10.1371/journal.pone.0168360</pub-id><pub-id pub-id-type="pmid">28060941</pub-id></citation></ref>
<ref id="B9"><label>9.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Dieleman</surname><given-names>N</given-names></name><name><surname>van der Kolk</surname><given-names>AG</given-names></name><name><surname>Zwanenburg</surname><given-names>JJM</given-names></name><name><surname>Harteveld</surname><given-names>AA</given-names></name><name><surname>Biessels</surname><given-names>GJ</given-names></name><name><surname>Luijten</surname><given-names>PR</given-names></name><etal/></person-group> <article-title>Imaging intracranial vessel wall pathology with magnetic resonance imaging current prospects and future directions</article-title>. <source>Circulation</source>. (<year>2014</year>) <volume>130</volume>(<issue>2</issue>):<fpage>192</fpage>&#x2013;<lpage>201</lpage>. <pub-id pub-id-type="doi">10.1161/CIRCULATIONAHA.113.006919</pub-id><pub-id pub-id-type="pmid">25001624</pub-id></citation></ref>
<ref id="B10"><label>10.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Harteveld</surname><given-names>AA</given-names></name><name><surname>van der Kolk</surname><given-names>AG</given-names></name><name><surname>van der Worp</surname><given-names>HB</given-names></name><name><surname>Dieleman</surname><given-names>N</given-names></name><name><surname>Zwanenburg</surname><given-names>JJM</given-names></name><name><surname>Luijten</surname><given-names>PR</given-names></name><etal/></person-group> <article-title>Detecting intracranial vessel wall lesions with 7T-magnetic resonance imaging: patients with posterior circulation ischemia versus healthy controls</article-title>. <source>Stroke</source>. (<year>2017</year>) <volume>48</volume>(<issue>9</issue>):<fpage>2601</fpage>&#x2013;<lpage>4</lpage>. <pub-id pub-id-type="doi">10.1161/STROKEAHA.117.017868</pub-id><pub-id pub-id-type="pmid">28701579</pub-id></citation></ref>
<ref id="B11"><label>11.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>van der Kolk</surname><given-names>AG</given-names></name><name><surname>Zwanenburg</surname><given-names>JJM</given-names></name><name><surname>Denswil</surname><given-names>NP</given-names></name><name><surname>Vink</surname><given-names>A</given-names></name><name><surname>Spliet</surname><given-names>WGM</given-names></name><name><surname>Daemen</surname><given-names>MJAP</given-names></name><etal/></person-group> <article-title>Imaging the intracranial atherosclerotic vessel wall using 7T MRI: initial comparison with histopathology</article-title>. <source>Am J Neuroradiol</source>. (<year>2015</year>) <volume>36</volume>(<issue>4</issue>):<fpage>694</fpage>&#x2013;<lpage>701</lpage>. <pub-id pub-id-type="doi">10.3174/ajnr.A4178</pub-id><pub-id pub-id-type="pmid">25477359</pub-id></citation></ref>
<ref id="B12"><label>12.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Mandell</surname><given-names>DM</given-names></name><name><surname>Mossa-Basha</surname><given-names>M</given-names></name><name><surname>Qiao</surname><given-names>Y</given-names></name><name><surname>Hess</surname><given-names>CP</given-names></name><name><surname>Hui</surname><given-names>F</given-names></name><name><surname>Matouk</surname><given-names>C</given-names></name><etal/></person-group> <article-title>Intracranial vessel wall MRI: principles and expert consensus recommendations of the American society of neuroradiology</article-title>. <source>Am J Neuroradiol</source>. (<year>2017</year>) <volume>38</volume>(<issue>2</issue>):<fpage>218</fpage>&#x2013;<lpage>29</lpage>. <pub-id pub-id-type="doi">10.3174/ajnr.A4893</pub-id><pub-id pub-id-type="pmid">27469212</pub-id></citation></ref>
<ref id="B13"><label>13.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>van der Kolk</surname><given-names>AG</given-names></name><name><surname>Zwanenburg</surname><given-names>JJM</given-names></name><name><surname>Brundel</surname><given-names>M</given-names></name><name><surname>Biessels</surname><given-names>GJ</given-names></name><name><surname>Visser</surname><given-names>F</given-names></name><name><surname>Luijten</surname><given-names>PR</given-names></name><etal/></person-group> <article-title>Distribution and natural course of intracranial vessel wall lesions in patients with ischemic stroke or TIA at 7.0 tesla MRI</article-title>. <source>Eur Radiol</source>. (<year>2015</year>) <volume>25</volume>(<issue>6</issue>):<fpage>1692</fpage>&#x2013;<lpage>700</lpage>. <pub-id pub-id-type="doi">10.1007/s00330-014-3564-4</pub-id><pub-id pub-id-type="pmid">25577517</pub-id></citation></ref>
<ref id="B14"><label>14.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>van der Kolk</surname><given-names>AG</given-names></name><name><surname>Hendrikse</surname><given-names>J</given-names></name><name><surname>Brundel</surname><given-names>M</given-names></name><name><surname>Biessels</surname><given-names>GJ</given-names></name><name><surname>Smit</surname><given-names>EJ</given-names></name><name><surname>Visser</surname><given-names>F</given-names></name><etal/></person-group> <article-title>Multi-sequence whole-brain intracranial vessel wall imaging at 7.0 tesla</article-title>. <source>Eur Radiol</source>. (<year>2013</year>) <volume>23</volume>(<issue>11</issue>):<fpage>2996</fpage>&#x2013;<lpage>3004</lpage>. <pub-id pub-id-type="doi">10.1007/s00330-013-2905-z</pub-id><pub-id pub-id-type="pmid">23736375</pub-id></citation></ref>
<ref id="B15"><label>15.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Denswil</surname><given-names>NP</given-names></name><name><surname>van der Wal</surname><given-names>AC</given-names></name><name><surname>Ritz</surname><given-names>K</given-names></name><name><surname>de Boer</surname><given-names>OJ</given-names></name><name><surname>Aronica</surname><given-names>E</given-names></name><name><surname>Troost</surname><given-names>D</given-names></name><etal/></person-group> <article-title>Atherosclerosis in the circle of Willis: spatial differences in composition and in distribution of plaques</article-title>. <source>Atherosclerosis</source>. (<year>2016</year>) <volume>251</volume>:<fpage>78</fpage>&#x2013;<lpage>84</lpage>. <pub-id pub-id-type="doi">10.1016/j.atherosclerosis.2016.05.047</pub-id><pub-id pub-id-type="pmid">27288902</pub-id></citation></ref>
<ref id="B16"><label>16.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Arenillas</surname><given-names>JF</given-names></name><name><surname>Dieleman</surname><given-names>N</given-names></name><name><surname>Bos</surname><given-names>D</given-names></name></person-group>. <article-title>Intracranial arterial wall imaging: techniques, clinical applicability, and future perspectives</article-title>. <source>Int J Stroke</source>. (<year>2019</year>) <volume>14</volume>(<issue>6</issue>):<fpage>564</fpage>&#x2013;<lpage>73</lpage>. <pub-id pub-id-type="doi">10.1177/1747493019840942</pub-id><pub-id pub-id-type="pmid">30982434</pub-id></citation></ref>
<ref id="B17"><label>17.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Hao</surname><given-names>Q</given-names></name><name><surname>Tsankova</surname><given-names>NM</given-names></name><name><surname>Shoirah</surname><given-names>H</given-names></name><name><surname>Kellner</surname><given-names>CP</given-names></name><name><surname>Nael</surname><given-names>K</given-names></name></person-group>. <article-title>Vessel wall MRI enhancement in noninflammatory cerebral amyloid angiopathy</article-title>. <source>Am J Neuroradiol</source>. (<year>2020</year>) <volume>41</volume>(<issue>3</issue>):<fpage>446</fpage>&#x2013;<lpage>8</lpage>. <pub-id pub-id-type="doi">10.3174/AJNR.A6445</pub-id><pub-id pub-id-type="pmid">32139424</pub-id></citation></ref>
<ref id="B18"><label>18.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Woodcock</surname><given-names>RJ</given-names></name><name><surname>Goldstein</surname><given-names>JH</given-names></name><name><surname>Kallmes</surname><given-names>DF</given-names></name><name><surname>Cloft</surname><given-names>HJ</given-names></name><name><surname>Phillips</surname><given-names>CD</given-names></name></person-group>. <article-title>Angiographic correlation of CT calcification in the carotid siphon</article-title>. <source>Am J Neuroradiol</source>. (<year>1999</year>) <volume>20</volume>(<issue>3</issue>):<fpage>495</fpage>&#x2013;<lpage>9</lpage>.<pub-id pub-id-type="pmid">10219418</pub-id></citation></ref>
<ref id="B19"><label>19.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Subedi</surname><given-names>D</given-names></name><name><surname>Zishan</surname><given-names>US</given-names></name><name><surname>Chappell</surname><given-names>F</given-names></name><name><surname>Gregoriades</surname><given-names>M</given-names></name><name><surname>Sudlow</surname><given-names>C</given-names></name><name><surname>Sellar</surname><given-names>R</given-names></name><etal/></person-group> <article-title>Intracranial carotid calcification on cranial computed tomography: visual scoring methods, semiautomated scores, and volume measurements in patients with stroke</article-title>. <source>Stroke</source>. (<year>2015</year>) <volume>46</volume>(<issue>9</issue>):<fpage>2504</fpage>&#x2013;<lpage>9</lpage>. <pub-id pub-id-type="doi">10.1161/STROKEAHA.115.009716</pub-id><pub-id pub-id-type="pmid">26251250</pub-id></citation></ref>
<ref id="B20"><label>20.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Wu</surname><given-names>XH</given-names></name><name><surname>Chen</surname><given-names>XY</given-names></name><name><surname>Wang</surname><given-names>LJ</given-names></name><name><surname>Wong</surname><given-names>KS</given-names></name></person-group>. <article-title>Intracranial artery calcification and its clinical significance</article-title>. <source>J Clin Neurol</source>. (<year>2016</year>) <volume>12</volume>(<issue>3</issue>):<fpage>253</fpage>&#x2013;<lpage>61</lpage>. <pub-id pub-id-type="doi">10.3988/jcn.2016.12.3.253</pub-id><pub-id pub-id-type="pmid">27165425</pub-id></citation></ref>
<ref id="B21"><label>21.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Chen</surname><given-names>XY</given-names></name><name><surname>Lam</surname><given-names>WWM</given-names></name><name><surname>Ng</surname><given-names>HK</given-names></name><name><surname>Fan</surname><given-names>YH</given-names></name><name><surname>Wong</surname><given-names>KS</given-names></name></person-group>. <article-title>The frequency and determinants of calcification in intracranial arteries in Chinese patients who underwent computed tomography examinations</article-title>. <source>Cerebrovasc Dis</source>. (<year>2006</year>) <volume>21</volume>(<issue>1&#x2013;2</issue>):<fpage>91</fpage>&#x2013;<lpage>7</lpage>. <pub-id pub-id-type="doi">10.1159/000090206</pub-id><pub-id pub-id-type="pmid">16340183</pub-id></citation></ref>
<ref id="B22"><label>22.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Bos</surname><given-names>D</given-names></name><name><surname>Portegies</surname><given-names>MLP</given-names></name><name><surname>van der Lugt</surname><given-names>A</given-names></name><name><surname>Bos</surname><given-names>MJ</given-names></name><name><surname>Koudstaal</surname><given-names>PJ</given-names></name><name><surname>Hofman</surname><given-names>A</given-names></name><etal/></person-group> <article-title>Intracranial carotid artery atherosclerosis and the risk of stroke in whites: the Rotterdam study</article-title>. <source>JAMA Neurol</source>. (<year>2014</year>) <volume>71</volume>(<issue>4</issue>):<fpage>405</fpage>&#x2013;<lpage>11</lpage>. <pub-id pub-id-type="doi">10.1001/jamaneurol.2013.6223</pub-id><pub-id pub-id-type="pmid">24535643</pub-id></citation></ref>
<ref id="B23"><label>23.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Quiney</surname><given-names>B</given-names></name><name><surname>Ying</surname><given-names>SM</given-names></name><name><surname>Hippe</surname><given-names>DS</given-names></name> <name><surname>Balu</surname><given-names>N</given-names></name><name><surname>Urdaneda-Moncada</surname><given-names>AR</given-names></name><name><surname>Mossa-Basha</surname><given-names>M</given-names></name></person-group>. <article-title>The association of intracranial vascular calcification and stenosis with acute ischemic cerebrovascular events</article-title>. <source>J Comput Assist Tomogr</source>. (<year>2017</year>) <volume>41</volume>(<issue>6</issue>):<fpage>849</fpage>&#x2013;<lpage>53</lpage>. <pub-id pub-id-type="doi">10.1097/RCT.0000000000000629</pub-id><pub-id pub-id-type="pmid">28481806</pub-id></citation></ref>
<ref id="B24"><label>24.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Lindenholz</surname><given-names>A</given-names></name><name><surname>van der Kolk</surname><given-names>AG</given-names></name><name><surname>Zwanenburg</surname><given-names>JJM</given-names></name><name><surname>Hendrikse</surname><given-names>J</given-names></name></person-group>. <article-title>The use and pitfalls of intracranial vessel wall imaging: how we do it</article-title>. <source>Radiology</source>. (<year>2018</year>) <volume>286</volume>(<issue>1</issue>):<fpage>12</fpage>&#x2013;<lpage>28</lpage>. <pub-id pub-id-type="doi">10.1148/radiol.2017162096</pub-id><pub-id pub-id-type="pmid">29261469</pub-id></citation></ref>
<ref id="B25"><label>25.</label><citation citation-type="book"><person-group person-group-type="author"><name><surname>Nandalur</surname><given-names>KR</given-names></name><name><surname>Baskurt</surname><given-names>E</given-names></name><name><surname>Hagspiel</surname><given-names>KD</given-names></name><name><surname>Phillips</surname><given-names>CD</given-names></name><name><surname>Kramer</surname><given-names>CM</given-names></name></person-group>. <article-title>Calcified carotid atherosclerotic plaque is associated less with ischemic symptoms than is noncalcified plaque on MDCT</article-title>. <source>AJR Am J Roentgenol</source>. (<year>2005</year>) <volume>184</volume>(<issue>1</issue>):<fpage>295</fpage>&#x2013;<lpage>8</lpage>. <pub-id pub-id-type="doi">10.2214/ajr.184.1.0184029</pub-id></citation></ref>
<ref id="B26"><label>26.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Zwartbol</surname><given-names>MHT</given-names></name><name><surname>van der Kolk</surname><given-names>AG</given-names></name><name><surname>Ghaznawi</surname><given-names>R</given-names></name><name><surname>van der Graaf</surname><given-names>Y</given-names></name><name><surname>Hendrikse</surname><given-names>J</given-names></name><name><surname>Geerlings</surname><given-names>MI</given-names></name></person-group>. <article-title>Intracranial vessel wall lesions on 7T MRI (magnetic resonance imaging)</article-title>. <source>Stroke</source>. (<year>2018</year>) <volume>50</volume>:<fpage>88</fpage>&#x2013;<lpage>94</lpage>. <pub-id pub-id-type="doi">10.1161/STROKEAHA.118.022509</pub-id></citation></ref>
<ref id="B27"><label>27.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>van der Kolk</surname><given-names>AG</given-names></name><name><surname>Hendrikse</surname><given-names>J</given-names></name><name><surname>Luijten</surname><given-names>PR</given-names></name></person-group>. <article-title>Ultrahigh-field magnetic resonance imaging: the clinical potential for anatomy, pathogenesis, diagnosis, and treatment planning in brain disease</article-title>. <source>Neuroimaging Clin N Am</source>. (<year>2012</year>) <volume>22</volume>(<issue>2</issue>):<fpage>343</fpage>&#x2013;<lpage>62</lpage>. <pub-id pub-id-type="doi">10.1016/j.nic.2012.02.004</pub-id><pub-id pub-id-type="pmid">22548936</pub-id></citation></ref>
<ref id="B28"><label>28.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Schenck</surname><given-names>JF</given-names></name></person-group>. <article-title>The role of magnetic susceptibility in magnetic resonance imaging: MRI magnetic compatibility of the first and second kinds</article-title>. <source>Med Phys</source>. (<year>1996</year>) <volume>23</volume>(<issue>6</issue>):<fpage>815</fpage>&#x2013;<lpage>50</lpage>. <pub-id pub-id-type="doi">10.1118/1.597854</pub-id><pub-id pub-id-type="pmid">8798169</pub-id></citation></ref>
<ref id="B29"><label>29.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Abbot</surname><given-names>AL</given-names></name></person-group>. <article-title>Extra-cranial carotid artery stenosis: an objective analysis of the available evidence</article-title>. <source>Front Neurol</source>. (<year>2022</year>) <volume>13</volume>. <pub-id pub-id-type="doi">10.3389/fneur.2022.739999</pub-id></citation></ref>
<ref id="B30"><label>30.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Jong</surname><given-names>KS</given-names></name><name><surname>Hyun-Wook</surname><given-names>N</given-names></name><name><surname>Sea Mi</surname><given-names>P</given-names></name><name><surname>Su-Kyung</surname><given-names>K</given-names></name><name><surname>Ki Hyun</surname><given-names>C</given-names></name><name><surname>Jun</surname><given-names>L</given-names></name><etal/></person-group> <article-title>Risk factors and stroke mechanisms in atherosclerotic stroke. Intracranial compared with extracranial and anterior compared with posterior circulation disease</article-title>. <source>Stroke</source>. (<year>2012</year>) <volume>43</volume>:<fpage>3313</fpage>&#x2013;<lpage>8</lpage>. <pub-id pub-id-type="doi">10.1161/STROKEAHA.112.658500</pub-id><pub-id pub-id-type="pmid">23160885</pub-id></citation></ref></ref-list>
</back>
</article>