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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Reprod. Health</journal-id><journal-title-group>
<journal-title>Frontiers in Reproductive Health</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Reprod. Health</abbrev-journal-title></journal-title-group>
<issn pub-type="epub">2673-3153</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/frph.2025.1743979</article-id>
<article-version article-version-type="Version of Record" vocab="NISO-RP-8-2008"/>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Original Research</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Impact of ultrasound operator training on clinical pregnancy rates during embryo transfer: a retrospective cohort study</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes" equal-contrib="yes"><name><surname>Hizkiyahu</surname><given-names>Ranit</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="cor1">&#x002A;</xref>
<xref ref-type="author-notes" rid="an1"><sup>&#x2020;</sup></xref>
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<contrib contrib-type="author" equal-contrib="yes"><name><surname>Bezalel</surname><given-names>Michal</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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<contrib contrib-type="author"><name><surname>Godin</surname><given-names>Miri</given-names></name>
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<contrib contrib-type="author"><name><surname>Adler Lazarovits</surname><given-names>Chana</given-names></name>
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<contrib contrib-type="author"><name><surname>Bentov</surname><given-names>Yaakov</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<contrib contrib-type="author"><name><surname>Esh-Broder</surname><given-names>Efrat</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="conceptualization" vocab-term-identifier="https://credit.niso.org/contributor-roles/conceptualization/">Conceptualization</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Data curation" vocab-term-identifier="https://credit.niso.org/contributor-roles/data-curation/">Data curation</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="investigation" vocab-term-identifier="https://credit.niso.org/contributor-roles/investigation/">Investigation</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="supervision" vocab-term-identifier="https://credit.niso.org/contributor-roles/supervision/">Supervision</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="validation" vocab-term-identifier="https://credit.niso.org/contributor-roles/validation/">Validation</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="visualization" vocab-term-identifier="https://credit.niso.org/contributor-roles/visualization/">Visualization</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; original draft" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-original-draft/">Writing &#x2013; original draft</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; review &#x0026; editing" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-review-editing/">Writing &#x2013; review &#x0026; editing</role></contrib>
<contrib contrib-type="author"><name><surname>Hershko Klement</surname><given-names>Anat</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref><uri xlink:href="https://loop.frontiersin.org/people/849931/overview"/><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="conceptualization" vocab-term-identifier="https://credit.niso.org/contributor-roles/conceptualization/">Conceptualization</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Data curation" vocab-term-identifier="https://credit.niso.org/contributor-roles/data-curation/">Data curation</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Formal analysis" vocab-term-identifier="https://credit.niso.org/contributor-roles/formal-analysis/">Formal analysis</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Funding acquisition" vocab-term-identifier="https://credit.niso.org/contributor-roles/funding-acquisition/">Funding acquisition</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="investigation" vocab-term-identifier="https://credit.niso.org/contributor-roles/investigation/">Investigation</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="methodology" vocab-term-identifier="https://credit.niso.org/contributor-roles/methodology/">Methodology</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Project administration" vocab-term-identifier="https://credit.niso.org/contributor-roles/project-administration/">Project administration</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="resources" vocab-term-identifier="https://credit.niso.org/contributor-roles/resources/">Resources</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="software" vocab-term-identifier="https://credit.niso.org/contributor-roles/software/">Software</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="supervision" vocab-term-identifier="https://credit.niso.org/contributor-roles/supervision/">Supervision</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="validation" vocab-term-identifier="https://credit.niso.org/contributor-roles/validation/">Validation</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="visualization" vocab-term-identifier="https://credit.niso.org/contributor-roles/visualization/">Visualization</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; original draft" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-original-draft/">Writing &#x2013; original draft</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; review &#x0026; editing" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-review-editing/">Writing &#x2013; review &#x0026; editing</role></contrib>
</contrib-group>
<aff id="aff1"><label>1</label><institution>The IVF Unit, Department of Obstetrics and Gynecology, Hadassah Mount Scopus-Hebrew University Medical Center</institution>, <city>Jerusalem</city>, <country country="il">Israel</country></aff>
<aff id="aff2"><label>2</label><institution>Faculty of Medicine, Hebrew University of Jerusalem</institution>, <city>Jerusalem</city>, <country country="il">Israel</country></aff>
<aff id="aff3"><label>3</label><institution>Department of Obstetrics and Gynecology, Faculty of Medicine, Hebrew University of Jerusalem</institution>, <city>Jerusalem</city>, <country country="il">Israel</country></aff>
<author-notes>
<corresp id="cor1"><label>&#x002A;</label><bold>Correspondence:</bold> Ranit Hizkiyahu <email xlink:href="mailto:ranith@hadassah.org.il">ranith@hadassah.org.il</email></corresp>
<fn fn-type="equal" id="an1"><label>&#x2020;</label><p>These authors have contributed equally to this work</p></fn>
<fn fn-type="other" id="fn001"><label>&#x2021;</label><p>ORCID Ranit Hizkiyahu <uri xlink:href="https://orcid.org/0000-0002-1466-7178">orcid.org/0000-0002-1466-7178</uri></p></fn>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-02-13"><day>13</day><month>02</month><year>2026</year></pub-date>
<pub-date publication-format="electronic" date-type="collection"><year>2025</year></pub-date>
<volume>7</volume><elocation-id>1743979</elocation-id>
<history>
<date date-type="received"><day>11</day><month>11</month><year>2025</year></date>
<date date-type="rev-recd"><day>23</day><month>12</month><year>2025</year></date>
<date date-type="accepted"><day>29</day><month>12</month><year>2025</year></date>
</history>
<permissions>
<copyright-statement>&#x00A9; 2026 Hizkiyahu, Bezalel, Godin, Adler Lazarovits, Bentov, Esh-Broder and Hershko Klement.</copyright-statement>
<copyright-year>2026</copyright-year><copyright-holder>Hizkiyahu, Bezalel, Godin, Adler Lazarovits, Bentov, Esh-Broder and Hershko Klement</copyright-holder><license><ali:license_ref start_date="2026-02-13">https://creativecommons.org/licenses/by/4.0/</ali:license_ref><license-p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://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.</license-p></license>
</permissions>
<abstract><sec><title>Introduction</title>
<p>While various aspects of the embryo transfer (ET) procedure have been studied for their potential impact on treatment outcomes, the influence of ultrasound (US) operator guidance during ET has not been extensively explored. Therefore, this study aims to investigate the impact of US guidance performed by well-trained versus untrained medical staff on the clinical pregnancy rate.</p>
</sec><sec><title>Material and methods</title>
<p>This is a retrospective study that was conducted in a single university-affiliated IVF unit between February 2023 and April 2024. The study compared the clinical pregnancy rate between patients undergoing ET by an US operator versus an untrained operator.</p>
</sec><sec><title>Results</title>
<p>A total of 951 embryo transfers were analyzed: 442 performed by trained operators (46.5&#x0025;) and 509 by untrained operators (53.5&#x0025;). Demographic characteristics were comparable. Main diagnosis, day of transfer, and mean number of embryos transferred were similar between groups (<italic>p</italic>&#x2009;&#x003D;&#x2009;0.2, 0.3, 0.4, respectively). The main outcome measure, clinical pregnancy crude rate, was similar (31.6&#x0025; untrained vs. 31.4&#x0025; trained, <italic>p</italic>&#x2009;&#x003D;&#x2009;0.9). Factors identified as associated with achieving a clinical pregnancy were maternal age (<italic>p</italic>&#x2009;&#x003C;&#x2009;0.01), endometrial thickness (<italic>p</italic>&#x2009;&#x003D;&#x2009;0.012), type (frozen vs. fresh) of embryos (<italic>p</italic>&#x2009;&#x003D;&#x2009;0.029), and embryonal age (<italic>p</italic>&#x2009;&#x003D;&#x2009;0.012). In a conditional logistic regression analysis, the US operator was not found to be a significant effector.</p>
</sec><sec><title>Conclusions</title>
<p>The utilization of a trained versus untrained ultrasound operator during ET was not associated with a difference in clinical pregnancy rates.</p>
</sec>
</abstract>
<kwd-group>
<kwd>embryo transfer</kwd>
<kwd><italic>in vitro</italic> fertilization</kwd>
<kwd>pregnancy</kwd>
<kwd>staff</kwd>
<kwd>hospital</kwd>
<kwd>ultrasound</kwd>
</kwd-group><funding-group><funding-statement>The author(s) declared that financial support was not received for this work and/or its publication.</funding-statement></funding-group><counts>
<fig-count count="0"/>
<table-count count="3"/><equation-count count="0"/><ref-count count="15"/><page-count count="6"/><word-count count="654"/></counts><custom-meta-group><custom-meta><meta-name>section-at-acceptance</meta-name><meta-value>Assisted Reproduction</meta-value></custom-meta></custom-meta-group>
</article-meta>
</front>
<body><sec id="s2" sec-type="intro"><title>Introduction</title>
<p>Embryo transfer (ET) represents the final procedure in IVF treatment and plays a critical role in the entire process, thus significantly impacting the treatment outcome (<xref ref-type="bibr" rid="B1">1</xref>). Several factors before, during, and after embryo transfer have been described to have an influence on its success (<xref ref-type="bibr" rid="B2">2</xref>, <xref ref-type="bibr" rid="B3">3</xref>). Some examples of positive contributory factors, which were reported to increase pregnancy rates, are using a soft catheter for insertion of the embryo, using a hyaluronic acid&#x2013;containing transfer medium for the embryo, and using US-guided embryo transfer (<xref ref-type="bibr" rid="B3">3</xref>). The importance of using US guidance during embryo transfers was demonstrated in multiple studies and summarized in a review published by the Cochrane library (<xref ref-type="bibr" rid="B4">4</xref>). Transabdominal US guidance was compared with &#x201C;clinical touch&#x0027; during embryo transfer. The &#x201C;traditional&#x0027; method of embryo transfer&#x2014;clinical touch&#x2014;relied on the clinician&#x0027;s tactile senses to judge when the transfer catheter was in the correct position. The results showed that US-guided ET was associated with an increase in the chances of a clinical pregnancy (OR: 1.31, 95&#x0025; CI: 1.17&#x2013;1.45).</p>
<p>The role of the physician performing the procedure itself was investigated in a couple of previous publications. On the one hand, the extent of experience of the physician performing the ET (fellow vs. attending trained physician) was not proven to improve clinical outcomes. On the other hand, clinical pregnancy rates may vary depending on the individual transferring physician (<xref ref-type="bibr" rid="B5">5</xref>).</p>
<p>In 2017, the American Society for Reproductive Medicine published a guideline for embryo transfer that included the following recommendations: abdominal US guidance for embryo transfer, removal of cervical mucous, use of soft embryo transfer catheters, correct placement of the embryo transfer tip in the uterine cavity, and immediate ambulation once the embryo transfer procedure is completed (<xref ref-type="bibr" rid="B2">2</xref>). A recent overview of the technical aspects of US-guided ET, published by the European journal Human Reproduction Open, has added a recommendation of cleansing of the vagina/cervix prior to ET by using sterile water or saline and emphasized that the duration of the ET procedure affects success rates. A duration of a transfer of more than 120&#x2005;s has shown a negative effect (<xref ref-type="bibr" rid="B6">6</xref>).</p>
<p>The US operator guiding the transfer has not been discussed in these guidelines, probably due to a paucity of well-designed studies assessing this factor. To the best of our knowledge, two studies have investigated this issue so far: the first, a retrospective review published in 2009 (<xref ref-type="bibr" rid="B7">7</xref>), and the second, a prospective randomized study published in 2014 (<xref ref-type="bibr" rid="B8">8</xref>). Neither showed a significant difference in the clinical outcome as stratified by the sonographer. In the current study, we aim to re-examine the impact of US guidance performed by a well-trained operator versus an untrained operator on achieving clinical pregnancy. Our hypothesis is that US operator training status does not influence clinical pregnancy rates. Our study adds value by including a larger sample size, representing a contemporary cohort, and adjusting for important confounders.</p>
</sec>
<sec id="s3" sec-type="methods"><title>Materials and methods</title>
<p>We conducted a retrospective study utilizing data sourced from a university-affiliated IVF clinic (Mount Scopus, MS). Patients included in the study underwent an embryo transfer between February 2023 and April 2024. The outcome was compared between patients who underwent the ET with US guidance performed by a trained operator (&#x201C;exposed&#x201D;) versus untrained medical staff (&#x201C;unexposed&#x201D;). A trained operator was defined as either one of the following: an US technician, a reproductive medicine senior physician, or a fellow in reproductive medicine. A non-trained operator was defined as either an operating room (OR) nurse or an out-patient staff nurse. These nurses do not have an US-specific training or education. The attendance of an US technician to assist in embryo transfers is based on staff availability as they are serving multiple roles in our institution. Whenever a physician or technician was not available to perform the US scan, the allocated OR nurse or the outpatient clinic nurse was asked to assist in performing the US for the procedure. Because technician availability was determined by unrelated institutional duties, this process functioned as a &#x201C;natural experiment,&#x201D; whereby some embryo transfers were performed with US guidance by a trained technician and others by a nurse assigned on an availability basis. In our IVF unit, only trained reproductive medicine physician or senior reproductive medicine fellows perform ETs. Individual variations between physicians are assessed and monitored every 6 months and they show no significant interphysician difference. Uterine factor infertility cases, embryo transfers from surgically retrieved sperm, and procedures with incomplete staff records were excluded from the analysis. In the non-donor cycles that were included, the transfer was performed within the same year of oocyte retrieval.</p>
<p>A computerized database including the following variables was established: trained versus untrained operator, age of patient, smoking status, BMI, donor/self-gametes and indication for treatment, frozen/fresh embryo transfer, embryo age at transfer, and number of embryos transferred. The indication for treatment was categorized into three groups: male factor, donor gametes, and non-male factor (including diagnoses of PCOS/anovulation, unexplained infertility, advanced maternal age, mechanical factor, diminished ovarian reserve, and PGT).</p>
<p>The primary outcome measure was clinical pregnancy.</p>
<sec id="s3a"><title>Endometrial preparation protocols</title>
<p>The protocols for endometrial preparation were determined by the treating physician. In the natural cycle group, the participants were monitored for ovulation using serial US scans and blood tests for LH, estradiol, and progesterone serum concentrations, starting on day 2&#x2013;3 of the cycle. In these ovulatory cycles, embryo transfer was scheduled according to the LH surge and the embryo&#x0027;s age, as described in detail in a previous publication (<xref ref-type="bibr" rid="B9">9</xref>). In the modified natural cycles, hCG was used to induce ovulation once the dominant follicle reached &#x003E;15&#x2005;mm and the endometrial lining was &#x003E;7&#x2005;mm. Luteal phase support was initiated on the day of ovulation, using oral dydrogesterone (Duphaston. Abbott healthcare products b.v., Netherlands) of 10&#x2005;mg, two to three times a day, or vaginal progesterone suppositories (Utrogestan. Besins-international laboratories, France) of 400&#x2005;mg, two to three times a day. Luteal phase support was continued until 10 weeks of gestation. In the medicated frozen embryo cycles, oral estradiol valerate (Estrofem. Novo Nordisk a/s, Denmark) was given at a daily dose of 6&#x2005;mg, starting on day 1&#x2013;3 of the cycle. When the endometrial thickness reached &#x003E;7&#x2005;mm width, vaginal progesterone suppositories (400&#x2005;mg, three times a day) were added and the transfer scheduled to &#x002B;1 days of progesterone exposure. Progesterone levels were monitored on the day before or on the same day of the transfer. If the progesterone level was lower than 10&#x2005;ng/mL, intramuscular (IM) progesterone injections of 50&#x2005;mg (Prontogest. IBSA Farmaceutici, Italy) were added, with a frequency every third day (<xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B11">11</xref>). Treatment continued until 10 weeks of gestation. The follow-up of all participants was continued in the IVF unit until 6&#x2013;7 weeks of pregnancy. Clinical pregnancy was defined as an intrauterine gestational sac documented by transvaginal US. Following 6&#x2013;7 weeks of pregnancy, the patients were referred to general community-based ObGyn clinics.</p>
</sec>
<sec id="s3b"><title>Statistical methods</title>
<sec id="s3b1"><title>Data analysis</title>
<p>All analyses were performed using the IBM SPSS statistics for Windows (version 24.0, IBM Corp., Armonk, NY, USA). As the data were normally distributed, we used the Student&#x0027;s <italic>t</italic>-test for comparisons involving continuous variables. A chi-square test or Fisher&#x0027;s exact test was used for the comparison of rates and proportions. BMI was categorized into &#x2264;30 and &#x003E;30. A logistic regression analysis was performed for modeling clinical pregnancy: factors that demonstrated a statistically significant correlation with clinical pregnancy were integrated. All <italic>P</italic>-values were two-tailed and considered significant at less than 0.05.</p>
</sec>
</sec>
<sec id="s3c" sec-type="data-availability"><title>Data availability</title>
<p>Data regarding current research will be available upon request.</p>
</sec>
</sec>
<sec id="s4" sec-type="results"><title>Results</title>
<p>A total of 951 embryo transfers were included in the study; of these, 442 transfers were performed with trained US guidance (46.5&#x0025;): of these 442, 380 (40&#x0025;) were technician guided and 62 (6.5&#x0025;) were physician guided. The remaining 509 (53.5&#x0025;) transfers were performed with untrained US guidance. A total of 22 out of the 951 transfers were documented as difficult to perform; of these, 12 were guided by an untrained operator and 10 were guided by a trained operator.</p>
<p>Patient characteristics in each group are described in <xref ref-type="table" rid="T1">Table&#x00A0;1</xref>. Most of these characteristics were comparable between the groups. Maternal age reflected a relatively young population (33.8&#x2009;&#x00B1;&#x2009;6.6 in the trained group, 33.8&#x2009;&#x00B1;&#x2009;6.6 in the untrained group, <italic>p</italic>&#x2009;&#x003D;&#x2009;0.942). The groups presented a statistically different distribution of the type of embryo transferred (<italic>p</italic>&#x2009;&#x003C;&#x2009;0.01)&#x2014;frozen vs. fresh&#x2014;and endometrial thickness (9.35&#x2009;&#x00B1;&#x2009;1.8&#x2005;mm vs. 9.74&#x2009;&#x00B1;&#x2009;2.2&#x2005;mm, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.01).</p>
<table-wrap id="T1" position="float"><label>Table&#x00A0;1</label>
<caption><p>Group characteristics according to the type of US guidance (trained versus untrained).</p></caption>
<table>
<colgroup>
<col align="left"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left" colspan="2">Group characteristics</th>
<th valign="top" align="center">Trained (<italic>n</italic>&#x2009;&#x003D;&#x2009;442, 46.5&#x0025;)</th>
<th valign="top" align="center">Untrained (<italic>n</italic>&#x2009;&#x003D;&#x2009;509, 53.5&#x0025;)</th>
<th valign="top" align="center"><italic>p</italic></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" style="background-color:#d9d9d9" colspan="2">Maternal age (mean, years)</td>
<td valign="top" align="center">33.8&#x2009;&#x00B1;&#x2009;6.6</td>
<td valign="top" align="center">33.8&#x2009;&#x00B1;&#x2009;6.6</td>
<td valign="top" align="center">0.942</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">BMI (mean, kg/m<sup>2</sup>) categorized<xref ref-type="table-fn" rid="TF2"><sup>b</sup></xref></td>
<td valign="top" align="center">&#x003E;30</td>
<td valign="top" align="center">79 (21.6&#x0025;)</td>
<td valign="top" align="center">98 (22.8&#x0025;)</td>
<td valign="top" align="center" rowspan="2">0.732</td>
</tr>
<tr>
<td valign="top" align="center">&#x2264;30</td>
<td valign="top" align="center">286 (78.4&#x0025;)</td>
<td valign="top" align="center">331 (77.2&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#d9d9d9" colspan="2">Endometrial thickness (mean, mm)</td>
<td valign="top" align="center">9.35&#x2009;&#x00B1;&#x2009;1.8</td>
<td valign="top" align="center">9.74&#x2009;&#x00B1;&#x2009;2.2</td>
<td valign="top" align="center"><italic>p</italic>&#x2009;&#x003C;&#x2009;0.01<xref ref-type="table-fn" rid="TF1"><sup>a</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">Parity</td>
<td valign="top" align="center">Multiparous</td>
<td valign="top" align="center">86 (19.5&#x0025;)</td>
<td valign="top" align="center">114 (22.4&#x0025;)</td>
<td valign="top" align="center" rowspan="2">0.267</td>
</tr>
<tr>
<td valign="top" align="center">Nulliparous</td>
<td valign="top" align="center">356 (80.5&#x0025;)</td>
<td valign="top" align="center">395 (77.6&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">Type of embryo transferred</td>
<td valign="top" align="center">Frozen</td>
<td valign="top" align="center">368 (83.6&#x0025;)</td>
<td valign="top" align="center">344 (68.1&#x0025;)</td>
<td valign="top" align="center" rowspan="2"><italic>p</italic>&#x2009;&#x003C;&#x2009;0.01<xref ref-type="table-fn" rid="TF1"><sup>a</sup></xref></td>
</tr>
<tr>
<td valign="top" align="center">Fresh</td>
<td valign="top" align="center">72 (16.4&#x0025;)</td>
<td valign="top" align="center">161 (31.9&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="3">Number of embryos transferred</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">331 (75.2&#x0025;)</td>
<td valign="top" align="center">365 (72.3&#x0025;)</td>
<td valign="top" align="center" rowspan="3">0.440</td>
</tr>
<tr>
<td valign="top" align="center">2</td>
<td valign="top" align="center">108 (24.5&#x0025;)</td>
<td valign="top" align="center">137 (27.1&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="center">3</td>
<td valign="top" align="center">1 (0.2&#x0025;)</td>
<td valign="top" align="center">3 (0.6&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="3">Embryonal age</td>
<td valign="top" align="center">Cleavage</td>
<td valign="top" align="center">186 (42.1&#x0025;)</td>
<td valign="top" align="center">216 (42.6&#x0025;)</td>
<td valign="top" align="center" rowspan="3">0.350</td>
</tr>
<tr>
<td valign="top" align="center">Morula (day 4)</td>
<td valign="top" align="center">83 (18.8&#x0025;)</td>
<td valign="top" align="center">78 (15.4&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="center">Blastocyst (day 5&#x2013;6)</td>
<td valign="top" align="center">173 (39.1&#x0025;)</td>
<td valign="top" align="center">213 (42&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="3">Diagnosis</td>
<td valign="top" align="center">Male factor</td>
<td valign="top" align="center">146 (33.7&#x0025;)</td>
<td valign="top" align="center">157 (31.3&#x0025;)</td>
<td valign="top" align="center" rowspan="3">0.221</td>
</tr>
<tr>
<td valign="top" align="center">Donor</td>
<td valign="top" align="center">28 (6.5&#x0025;)</td>
<td valign="top" align="center">22 (4.4&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="center">Non-male</td>
<td valign="top" align="center">322 (59.8&#x0025;)</td>
<td valign="top" align="center">259 (64.3&#x0025;)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="TF1"><label>a</label>
<p>A statistically significant difference.</p></fn>
<fn id="TF2"><label>b</label>
<p>Data based on 794 cases.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>We conducted a univariate analysis to explore the association between achieving a clinical pregnancy and possible confounders (<xref ref-type="table" rid="T2">Table&#x00A0;2</xref>). As for the main outcome measure, there were 300 clinical pregnancies, 139 (31.4&#x0025;) in the trained group and 161 (31.6&#x0025;) in the untrained group, <italic>p</italic>&#x2009;&#x003D;&#x2009;0.952 (ratio 0.994, 95&#x0025; CI: 0.82&#x2013;1.2). Pregnancy rates were similar when they were further subdivided into physician versus technician guidance (<italic>p</italic>&#x2009;&#x003D;&#x2009;0.905). The factors identified as associated with achieving a clinical pregnancy were maternal age, endometrial thickness, type of embryo (frozen vs. fresh), and embryonal age (<xref ref-type="table" rid="T2">Table&#x00A0;2</xref>).</p>
<table-wrap id="T2" position="float"><label>Table&#x00A0;2</label>
<caption><p>Univariate analysis for clinical pregnancy distribution according to the type of US guidance and other related variables.</p></caption>
<table>
<colgroup>
<col align="left"/>
<col align="left"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left" colspan="2">Variables</th>
<th valign="top" align="center">Clinical pregnancy achieved</th>
<th valign="top" align="center">Not pregnant</th>
<th valign="top" align="center"><italic>p</italic></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" rowspan="2">US guidance training</td>
<td valign="top" align="left">Trained</td>
<td valign="top" align="center">139 (31.4&#x0025;)</td>
<td valign="top" align="center">303 (68.6&#x0025;)</td>
<td valign="top" align="center" rowspan="2">0.952</td>
</tr>
<tr>
<td valign="top" align="left">Untrained</td>
<td valign="top" align="center">161 (31.6&#x0025;)</td>
<td valign="top" align="center">348 (68.4&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#d9d9d9" colspan="2">Maternal age (mean, years)</td>
<td valign="top" align="center">33.0&#x2009;&#x00B1;&#x2009;6.5</td>
<td valign="top" align="center">34.2&#x2009;&#x00B1;&#x2009;6.6</td>
<td valign="top" align="center"><italic>p</italic>&#x2009;&#x003C;&#x2009;0.01<xref ref-type="table-fn" rid="TF3"><sup>a</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">BMI (mean, kg/m<sup>2</sup>) categorized</td>
<td valign="top" align="left">&#x003E;30</td>
<td valign="top" align="center">47/254 (18.5&#x0025;)</td>
<td valign="top" align="center">130/540 (24.1&#x0025;)</td>
<td valign="top" align="center">0.08</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#d9d9d9" colspan="2">Endometrial thickness (mean, mm)</td>
<td valign="top" align="center">9.81&#x2009;&#x00B1;&#x2009;1.9</td>
<td valign="top" align="center">9.44&#x2009;&#x00B1;&#x2009;2.1</td>
<td valign="top" align="center">0.012<xref ref-type="table-fn" rid="TF3"><sup>a</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">Parity (previous deliveries)</td>
<td valign="top" align="left">Multiparous</td>
<td valign="top" align="center">62 (31&#x0025;)</td>
<td valign="top" align="center">138 (69&#x0025;)</td>
<td valign="top" align="center" rowspan="2">0.852</td>
</tr>
<tr>
<td valign="top" align="left">Nulliparous</td>
<td valign="top" align="center">238 (31.7&#x0025;)</td>
<td valign="top" align="center">513 (68.3&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">Type of embryos returned</td>
<td valign="top" align="left">Frozen</td>
<td valign="top" align="center">238 (33.4&#x0025;)</td>
<td valign="top" align="center">474 (66.6&#x0025;)</td>
<td valign="top" align="center" rowspan="2">0.029<xref ref-type="table-fn" rid="TF3"><sup>a</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Fresh</td>
<td valign="top" align="center">60 (25.8&#x0025;)</td>
<td valign="top" align="center">173 (74.2&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="3">Number of embryos transferred</td>
<td valign="top" align="left">1</td>
<td valign="top" align="center">214 (30.7&#x0025;)</td>
<td valign="top" align="center">482 (69.3&#x0025;)</td>
<td valign="top" align="center" rowspan="3">0.695</td>
</tr>
<tr>
<td valign="top" align="left">2</td>
<td valign="top" align="center">83 (33.9&#x0025;)</td>
<td valign="top" align="center">162 (66.1&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">3</td>
<td valign="top" align="center">1 (25&#x0025;)</td>
<td valign="top" align="center">3 (75&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="3">Embryonal age</td>
<td valign="top" align="left">Cleavage (day 1&#x2013;3)</td>
<td valign="top" align="center">113 (28.1&#x0025;)</td>
<td valign="top" align="center">289 (71.9&#x0025;)</td>
<td valign="top" align="center" rowspan="3">0.012<xref ref-type="table-fn" rid="TF3"><sup>a</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Morula (day 4)</td>
<td valign="top" align="center">44 (27.3&#x0025;)</td>
<td valign="top" align="center">117 (72.7&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Blast (day 5&#x2013;6)</td>
<td valign="top" align="center">143 (37&#x0025;)</td>
<td valign="top" align="center">243 (63&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="3">Diagnosis</td>
<td valign="top" align="left">Male factor</td>
<td valign="top" align="center">107 (35.3&#x0025;)</td>
<td valign="top" align="center">196 (64.7&#x0025;)</td>
<td valign="top" align="center" rowspan="3">0.181</td>
</tr>
<tr>
<td valign="top" align="left">Donor</td>
<td valign="top" align="center">18 (36&#x0025;)</td>
<td valign="top" align="center">32 (64&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Non-male factor</td>
<td valign="top" align="center">172 (29.6&#x0025;)</td>
<td valign="top" align="center">409 (70.4&#x0025;)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="TF3"><label>a</label>
<p>A statistically significant difference.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>In a stepwise (conditional) logistic regression model (<xref ref-type="table" rid="T3">Table&#x00A0;3</xref>) integrating our variable of interest (US-guidance type) as an obligatory variable along with maternal age, endometrial thickness, type of embryo (frozen vs. fresh), and embryonic age, we found that maternal age, endometrial thickness, and embryonic age were all significant predictors of clinical pregnancy. A thicker endometrium was a positive predictor of clinical pregnancy (<italic>p</italic>&#x2009;&#x003D;&#x2009;0.016), while advanced maternal age and non-blastocyst embryos were negatively associated with the chance of achieving pregnancy (0.045 and 0.03, respectively). US operator was not found to be a significant effector.</p>
<table-wrap id="T3" position="float"><label>Table&#x00A0;3</label>
<caption><p>Conditional logistic regression model for clinical pregnancy.</p></caption>
<table>
<colgroup>
<col align="left"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left" rowspan="2">Parameter</th>
<th valign="top" align="center" rowspan="2">B</th>
<th valign="top" align="center" rowspan="2">S.E.</th>
<th valign="top" align="center" rowspan="2">Sig</th>
<th valign="top" align="center" rowspan="2">Adjusted OR</th>
<th valign="top" align="center" colspan="2">95&#x0025; CI for OR</th>
</tr>
<tr>
<th valign="top" align="center">Lower</th>
<th valign="top" align="center">Upper</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Endometrial thickness (mm)</td>
<td valign="top" align="center">0.082</td>
<td valign="top" align="center">0.034</td>
<td valign="top" align="center">0.016<xref ref-type="table-fn" rid="TF4">&#x002A;</xref></td>
<td valign="top" align="center">1.085</td>
<td valign="top" align="center">1.015</td>
<td valign="top" align="center">1.160</td>
</tr>
<tr>
<td valign="top" align="left">Maternal age</td>
<td valign="top" align="center">&#x2212;0.022</td>
<td valign="top" align="center">0.011</td>
<td valign="top" align="center">0.045<xref ref-type="table-fn" rid="TF4">&#x002A;</xref></td>
<td valign="top" align="center">0.978</td>
<td valign="top" align="center">0.957</td>
<td valign="top" align="center">0.999</td>
</tr>
<tr>
<td valign="top" align="left">Embryonic age</td>
<td valign="top" align="center">0.184</td>
<td valign="top" align="center">0.543</td>
<td valign="top" align="center">0.03<xref ref-type="table-fn" rid="TF4">&#x002A;</xref></td>
<td valign="top" align="center">1.202</td>
<td valign="top" align="center">1.029</td>
<td valign="top" align="center">1.405</td>
</tr>
<tr>
<td valign="top" align="left">Trained guidance</td>
<td valign="top" align="center">0.014</td>
<td valign="top" align="center">0.144</td>
<td valign="top" align="center">0.92</td>
<td valign="top" align="center">1.015</td>
<td valign="top" align="center">0.766</td>
<td valign="top" align="center">1.345</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="TF4"><label>&#x002A;</label>
<p>Significance level &#x2264;0.05.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s5" sec-type="discussion"><title>Discussion</title>
<p>In this retrospective study, we aimed to investigate whether the utilization of a trained US operator during embryo transfer impacts clinical pregnancy rates. The study revealed that clinical pregnancy rates were comparable irrespective of whether the US operator was trained or untrained. As expected, we found that younger maternal age, thicker endometrial lining, and transfer of blastocyst stage embryos were all associated with higher clinical pregnancy rates.</p>
<p>While there is a substantial body of literature emphasizing the importance of US guidance during embryo transfer and other technical aspects of the procedure, we identified only two studies that assessed the impact of trained vs untrained US operator on treatment outcome. In 2009, Harris and his colleagues were the first to raise the question whether the clinical experience and level of US training correlate with IVF outcomes. They conducted a retrospective study of 319 women who underwent embryo transfer: 201 (63&#x0025;) underwent ET, with the reproductive endocrinology and infertility (REI) fellow performing the US, and 118 (37&#x0025;) underwent the procedure with the help of a medical assistant. Clinical pregnancy rates and live birth rates were similar between groups (<italic>p</italic>&#x2009;&#x003D;&#x2009;0.82 and 0.99, respectively) (<xref ref-type="bibr" rid="B7">7</xref>). However, their study had several limitations, including the small number of patients, treatment at different time periods, lack of information regarding embryo age, and other potential confounding factors.</p>
<p>More recently, a prospective randomized study conducted by Rinaldi et al. compared the results of embryo transfer performed by an experienced US guidance (a physician) and non-experienced guidance (an untrained midwife). The study included a total of 553 patients and found no differences between groups with regard to the technique itself&#x2014;unsatisfactory visualization and difficulty in transfer&#x2014;and with regard to treatment outcomes&#x2014;pregnancy rate and extrauterine pregnancy rate (<xref ref-type="bibr" rid="B8">8</xref>).</p>
<p>In accordance with the aforementioned studies, our findings further confirm that the presence of a trained US operator during embryo transfer does not significantly impact clinical pregnancy rates. Several factors may explain this observation. First, the procedure is team-based. The physician performing the catheter insertion is the ultimate decision-maker, using the US image as a guide, and may compensate for suboptimal imaging. Furthermore, in cases where an untrained operator encounters difficulty achieving optimal visualization, the physician performing the procedure may intervene by taking over the US probe or providing real-time guidance. This collaborative approach could mitigate any potential negative effects of operator inexperience. In addition, the fundamental technical skill required for basic transabdominal guidance to visualize the catheter tip may have a low threshold for competence, easily met by nursing staff with a brief instruction.</p>
<p>Second, it is possible that the exact placement location of the embryo within the uterine cavity may not be as critical to treatment success as previously assumed. Embryo migration in the uterine cavity following embryo transfer was already illustrated in a couple of previous publications (<xref ref-type="bibr" rid="B12">12</xref>&#x2013;<xref ref-type="bibr" rid="B14">14</xref>). This could allow for a degree of flexibility in executing the procedure, even under suboptimal visualization conditions.</p>
<p>The strength of our study lies in being the largest to date to investigate a routinely encountered clinical question that has been previously underexplored. The availability of the US operator was a random event and was not controlled by the performing physician. This operator availability serves as a natural experiment, reducing allocation bias. Our study has several limitations. First, its retrospective design inherently limits the ability to control for all potential confounders. Specifically, duration of infertility and the number of previous IVF attempts were not included in the analysis. We reported clinical pregnancy rates, without reporting live birth outcome data. Embryo quality data were unavailable and may represent residual confounding. In addition, the study defines &#x201C;trained&#x201D; operators as technicians, senior physicians, or fellows, but heterogeneity within the trained operator group could have influenced outcomes. Another consideration is the possibility that specific US operators were preferentially assigned to manage difficult cases, potentially introducing selection bias, as these patients might have had a reduced likelihood of achieving conception. Nevertheless, only 22 out of 951 transfers were categorized as difficult (according to the operator&#x0027;s impression), with these cases being nearly evenly distributed between the study groups. Therefore, it is unlikely that difficult transfers significantly biased the results.</p>
<p>Finally, our study was conducted in a single-center setting. On the one hand, standardized protocols are a strength, but on the other hand, it could limit generalizability.</p>
</sec>
<sec id="s6" sec-type="conclusions"><title>Conclusion</title>
<p>In this large retrospective study, the training status of the US operator was not associated with clinical pregnancy rates after embryo transfer. In settings with routinely available trained sonographers/physicians, this remains best practice. However, in resource-constrained settings or when staffing is limited, using an untrained operator to hold the probe does not appear to compromise outcomes, based on the evidence gathered in this study and prior evidence. Our results may allow for more flexible staffing models and increased availability and accessibility of procedure personnel.</p>
</sec>
</body>
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<sec id="s7" sec-type="data-availability"><title>Data availability statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors without undue reservation.</p>
</sec>
<sec id="s8" sec-type="ethics-statement"><title>Ethics statement</title>
<p>The study was approved by the Hadassah Mount Scopus Institutional Review Board (HMO-0128-23) and conducted in accordance with all local legislation and institutional regulations. Because this was a retrospective, anonymous study, the Review Board waived the requirement for written informed consent from participants or their legal guardians.</p>
</sec>
<sec id="s9" sec-type="author-contributions"><title>Author contributions</title>
<p>RH: Conceptualization, Data curation, Funding acquisition, Investigation, Methodology, Project administration, Resources, Supervision, Validation, Visualization, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. MB: Data curation, Formal analysis, Investigation, Methodology, Software, Validation, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. MG: Supervision, Visualization, Writing &#x2013; review &#x0026; editing. CL: Investigation, Methodology, Software, Visualization, Writing &#x2013; original draft. YB: Conceptualization, Investigation, Methodology, Supervision, Validation, Visualization, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. EE-B: Conceptualization, Data curation, Investigation, Supervision, Validation, Visualization, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. AK: Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing.</p>
</sec>
<sec id="s11" sec-type="COI-statement"><title>Conflict of interest</title>
<p>The author(s) declared that this work 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="ai-statement"><title>Generative AI statement</title>
<p>The author(s) declared that generative AI was not used in the creation of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence, and reasonable efforts have been made to ensure accuracy, including review by the authors, wherever possible. If you identify any issues, please contact us.</p>
</sec>
<sec id="s13" 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>
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<fn-group>
<fn id="n1" fn-type="custom" custom-type="edited-by"><p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/836777/overview">Johnny S. Younis</ext-link>, The Baruch Padeh Medical Center, Israel</p></fn>
<fn id="n2" fn-type="custom" custom-type="reviewed-by"><p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2209221/overview">Yujia Zhang</ext-link>, Centers for Disease Control and Prevention (CDC), United States</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3057568/overview">Fernando Prado Ferreira</ext-link>, Neo Vita Clinic, Brazil</p></fn>
</fn-group>
</back>
</article>