AUTHOR=Ganeshan Balaji , Strukowska Olga , Skogen Karoline , Young Rupert , Chatwin Chris , Miles Ken 

TITLE=Heterogeneity of Focal Breast Lesions and Surrounding Tissue Assessed by Mammographic Texture Analysis: Preliminary Evidence of an Association with Tumor Invasion and Estrogen Receptor Status

JOURNAL=Frontiers in Oncology

VOLUME=Volume 1 - 2011

YEAR=2011

URL=https://www.frontiersin.org/journals/oncology/articles/10.3389/fonc.2011.00033

DOI=10.3389/fonc.2011.00033

ISSN=2234-943X

ABSTRACT=Aim: This pilot study investigates the heterogeneity in focal breast lesions and surrounding tissue assessed on mammography is potentially related to cancer invasion and hormone receptor status.    

Materials and Methods: Texture analysis (TA) assessed the heterogeneity of focal lesions and their surrounding tissues in digitised mammograms from 11 patients randomly selected from an imaging archive (Ductal Carcinoma in Situ (DCIS) only, n=4; Invasive Carcinoma (IC) with DCIS, n=3; IC only, n=4). TA utilised band-pass image filtration to highlight image features at different spatial frequencies (filter values: 1.0-2.5) from fine to coarse texture.  The distribution of features in the derived images was quantified using uniformity. 

Results: Significant differences in uniformity were observed between patient groups for all filter values. With medium scale filtration (filter value = 1.5) pure DCIS was more uniform (median = 0.281) than either DCIS with IC (median = 0.246, p= 0.0102) or IC (median = 0.249, p= 0.0021). Lesions with high levels of oestrogen receptor expression were more uniform, most notably with coarse filtration (filter values 2.0 and 2.5, rs = 0.812, p = 0.002). Comparison of uniformity values in focal lesions and surrounding tissue showed significant differences between DCIS with or without IC versus IC (p=0.0009). 

Conclusion: This pilot study shows the potential for computer-based assessments of heterogeneity within focal mammographic lesions and surrounding tissue to identify adverse pathological features in mammographic lesions. The technique warrants further investigation as a possible adjunct to existing computer aided diagnosis systems.