https://scholars.lib.ntu.edu.tw/handle/123456789/489571
標題: | Quantitative analysis of peri-tumor fat in different molecular subtypes of breast cancer | 作者: | Chen, J.-H. Zhang, Y. Chan, S. RUEY-FENG CHANG Su, M.-Y. |
公開日期: | 2018 | 卷: | 53 | 起(迄)頁: | 34-39 | 來源出版物: | Magnetic Resonance Imaging | 摘要: | Background and purposes: The aim of this study was to develop morphological analytic methods to analyze the tumor-fat interface and in different peritumoral shells away from the tumor, and to compare the results among three molecular subtypes of breast cancer. Materials and methods: A total of 102 women (mean age 48.5 y/o) with solitary well-defined breast cancers were analyzed, including 46 human epidermal growth factor receptor 2 (HER2) (+), 46 HER2(?) hormonal receptor (HR) (+), and 10 triple negative (TN) breast cancers. The tumor lesion, the breast, the fibroglandular and fatty tissue were segmented using well-established methods. The whole breast fat percentage and the peri-tumor interface fat percentage were measured. Three shells (SH1, SH2, SH3) surrounding the convex hall of the three dimensional (3D) tumor were defined and in each shell the volumetric percentage of fat was calculated. The peri-tumor interface fat percentage and the volumetric percentage of fat in the three peri-tumoral shells were compared among different subtypes. Results: In the TN group, the fat percentage on the tumor boundary was 43 ± 20% and 78 ± 12% for two dimensional (2D) and 3D measurement, respectively, which were the highest among the three subtypes but not significantly different. The fat percentage in SH2 and SH3 in the TN group was 82 ± 7% and 85 ± 7%, which was significantly higher compared to the two other two subtypes. The results remained after controlling for the whole breast fat percentage. Conclusions: This study provided a feasible method for quantitative analysis of peri-tumoral tissue characteristics. Because of small patient number, the finding that TN tumors had the highest peri-tumor fat content among the three subtypes needs to be further verified with a large cohort study. ? 2018 Elsevier Inc. |
URI: | https://scholars.lib.ntu.edu.tw/handle/123456789/489571 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85049926148&doi=10.1016%2fj.mri.2018.06.019&partnerID=40&md5=15ff2ed9adbab3df4a24bf235bd62c00 |
ISSN: | 0730725X | DOI: | 10.1016/j.mri.2018.06.019 | SDG/關鍵字: | epidermal growth factor receptor 2; estrogen receptor; fat; progesterone receptor; epidermal growth factor receptor 2; ERBB2 protein, human; estrogen receptor; adipose tissue; adult; aged; Article; breast cancer molecular subtype; cell structure; female; gland tissue; human; human epidermal growth factor receptor 2 positive breast cancer; major clinical study; nuclear magnetic resonance imaging; priority journal; quantitative analysis; retrospective study; three dimensional imaging; triple negative breast cancer; tumor cell; breast; breast tumor; cohort analysis; diagnostic imaging; lipoma; metabolism; middle aged; nuclear magnetic resonance imaging; young adult; Adipose Tissue; Adult; Aged; Breast; Breast Neoplasms; Cohort Studies; Female; Humans; Lipoma; Magnetic Resonance Imaging; Middle Aged; Receptor, ErbB-2; Receptors, Estrogen; Retrospective Studies; Triple Negative Breast Neoplasms; Young Adult |
顯示於: | 資訊工程學系 |
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