Quantitative analysis of peri-tumor fat in different molecular subtypes of breast cancer

被引:9
作者
Chen, Jeon-Hor [1 ,2 ,3 ]
Zhang, Yang [1 ]
Chan, Siwa [4 ,5 ,6 ]
Chang, Ruey-Feng [4 ]
Su, Min-Ying [1 ]
机构
[1] Univ Calif Irvine, Dept Radiol Sci, Ctr Funct Oncoimaging, Irvine, CA 92697 USA
[2] E Da Hosp, Dept Radiol, Kaohsiung, Taiwan
[3] I Shou Univ, Kaohsiung, Taiwan
[4] Natl Taiwan Univ, Grad Inst Biomed Elect & Bioinformat, Taipei, Taiwan
[5] Buddhist Tzu Chi Med Fdn, Taichung Tzu Chi Hosp, Dept Med Imaging, Taichung, Taiwan
[6] Tzu Chi Univ, Sch Med, Dept Radiol, Hualien, Taiwan
关键词
ADIPOSE-TISSUE; MRI; MECHANISMS; PREDICTION; INTERFACE; CARCINOMA; INVASION; TUMOR;
D O I
10.1016/j.mri.2018.06.019
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
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.
引用
收藏
页码:34 / 39
页数:6
相关论文
共 31 条
[1]  
[Anonymous], 1981, PATTERN RECOGNITION
[2]  
BEER AE, 1978, LANCET, V2, P296
[3]   Intratumoral and peritumoral radiomics for the pretreatment prediction of pathological complete response to neoadjuvant chemotherapy based on breast DCE-MRI [J].
Braman, Nathaniel M. ;
Etesami, Maryam ;
Prasanna, Prateek ;
Dubchuk, Christina ;
Gilmore, Hannah ;
Tiwari, Pallavi ;
Pletcha, Donna ;
Madabhushi, Anant .
BREAST CANCER RESEARCH, 2017, 19
[4]   Inhibition of fatty acid oxidation as a therapy for MYC-overexpressing triple-negative breast cancer [J].
Camarda, Roman ;
Zhou, Alicia Y. ;
Kohnz, Rebecca A. ;
Balakrishnan, Sanjeev ;
Mahieu, Celine ;
Anderton, Brittany ;
Eyob, Henok ;
Kajimura, Shingo ;
Tward, Aaron ;
Krings, Gregor ;
Nomura, Daniel K. ;
Goga, Andrei .
NATURE MEDICINE, 2016, 22 (04) :427-+
[5]  
Chai H, 2009, ANN CLIN LAB SCI, V39, P331
[6]   Adipose microenvironment promotes triple negative breast cancer cell invasiveness and dissemination by producing CCL5 [J].
D'Esposito, Vittoria ;
Liguoro, Domenico ;
Ambrosio, Maria Rosaria ;
Collina, Francesca ;
Cantile, Monica ;
Spinelli, Rosa ;
Raciti, Gregory Alexander ;
Miele, Claudia ;
Valentino, Rossella ;
Campiglia, Pietro ;
De laurentiis, Michelino ;
Di Bonito, Maurizio ;
Botti, Gerardo ;
Franco, Renato ;
Beguinot, Francesco ;
Formisano, Pietro .
ONCOTARGET, 2016, 7 (17) :24495-24509
[7]   Evaluation of Breast Lipid Composition in Patients with Benign Tissue and Cancer by Using Multiple Gradient-Echo MR Imaging [J].
Freed, Melanie ;
Storey, Pippa ;
Lewin, Alana Amarosa ;
Babb, James ;
Moccaldi, Melanie ;
Moy, Linda ;
Kim, Sungheon G. .
RADIOLOGY, 2016, 281 (01) :43-53
[8]  
Haralick R, 1992, COMPUTER ROBOT VISIO, VI, P28, DOI DOI 10.1109/MRA.2011.941638
[9]   Mammary field cancerization: molecular evidence and clinical importance [J].
Heaphy, Christopher M. ;
Griffith, Jeffrey K. ;
Bisoffi, Marco .
BREAST CANCER RESEARCH AND TREATMENT, 2009, 118 (02) :229-239
[10]   MRI Enhancement in Stromal Tissue Surrounding Breast Tumors: Association with Recurrence Free Survival following Neoadjuvant Chemotherapy [J].
Jones, Ella F. ;
Sinha, Sumedha P. ;
Newitt, David C. ;
Klifa, Catherine ;
Kornak, John ;
Park, Catherine C. ;
Hylton, Nola M. .
PLOS ONE, 2013, 8 (05)