J-P Obeid1, R Stoyanova1, D Kwon2, M Patel1, K Padgett1, J Slingerland3, C Takita1, N Alperin4, M Yepes4, Y H Zeidan5. 1. Department of Radiation Oncology, University of Miami Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, 1475 NW 12th Avenue, Suite 1500, Miami, FL, 33136, USA. 2. Biostatistics and Bioinformatics Core, University of Miami Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL, USA. 3. Braman Family Breast Cancer Institute, University of Miami Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL, USA. 4. Department of Radiology, University of Miami Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL, USA. 5. Department of Radiation Oncology, University of Miami Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, 1475 NW 12th Avenue, Suite 1500, Miami, FL, 33136, USA. yzeidan@miami.edu.
Abstract
PURPOSE: Obesity is associated with adverse outcomes in breast cancer patients. Fat-specific cytokines (adipokines) have been proposed as key drivers of breast cancer progression, invasion, and metastasis. We aimed at assessing correlations between peri-tumoral fat, quantified on magnetic resonance imaging (MRI) and pathologic factors potentially impacting therapy recommendations. METHODS: We retrospectively reviewed records of 63 patients with early stage breast cancer who underwent preoperative MRI imaging using appropriately weighted series for breast and tumor contouring. Fat volumes were generated through voxel intensity filtering. The peri-tumoral region was defined as the intersection of a 1-cm spherical extension around the tumor and the breast contour. Peri-tumoral fat was defined as the fraction of a fat content in this volume. Surgical pathology records were used to extract clinical data. Statistical analyses were conducted using Pearson and Spearman correlation coefficients. RESULTS: Among reviewed patients, 45 had T1 tumors (1.22 ± 0.85 cm diameter) and 18 had T2 tumors (2.08 ± 1.06 cm). Axillary lymph nodes were dissected in 31 and positive in 17 patients analyzed. Peri-tumoral fat ratio ranged between 25 and 99 %. Peri-tumoral fat ratio significantly correlated with the nodal-positive ratio of positive axillary lymph nodes (r = 0.532). Peri-tumoral fat ratio demonstrated optimally prominent correlation among obese patients upon body mass index categorical stratification. CONCLUSIONS: In women with early stage breast cancer, peri-tumoral fat correlates positively with the ratio of pathologically involved axillary nodes. This work highlights a novel method for quantitating peri-tumoral fat content. Preoperative breast MRI may be utilized to predict extent of axillary disease.
PURPOSE: Obesity is associated with adverse outcomes in breast cancerpatients. Fat-specific cytokines (adipokines) have been proposed as key drivers of breast cancer progression, invasion, and metastasis. We aimed at assessing correlations between peri-tumoral fat, quantified on magnetic resonance imaging (MRI) and pathologic factors potentially impacting therapy recommendations. METHODS: We retrospectively reviewed records of 63 patients with early stage breast cancer who underwent preoperative MRI imaging using appropriately weighted series for breast and tumor contouring. Fat volumes were generated through voxel intensity filtering. The peri-tumoral region was defined as the intersection of a 1-cm spherical extension around the tumor and the breast contour. Peri-tumoral fat was defined as the fraction of a fat content in this volume. Surgical pathology records were used to extract clinical data. Statistical analyses were conducted using Pearson and Spearman correlation coefficients. RESULTS: Among reviewed patients, 45 had T1 tumors (1.22 ± 0.85 cm diameter) and 18 had T2 tumors (2.08 ± 1.06 cm). Axillary lymph nodes were dissected in 31 and positive in 17 patients analyzed. Peri-tumoral fat ratio ranged between 25 and 99 %. Peri-tumoral fat ratio significantly correlated with the nodal-positive ratio of positive axillary lymph nodes (r = 0.532). Peri-tumoral fat ratio demonstrated optimally prominent correlation among obesepatients upon body mass index categorical stratification. CONCLUSIONS: In women with early stage breast cancer, peri-tumoral fat correlates positively with the ratio of pathologically involved axillary nodes. This work highlights a novel method for quantitating peri-tumoral fat content. Preoperative breast MRI may be utilized to predict extent of axillary disease.
Entities:
Keywords:
Adipose tissue; Breast cancer; MRI; Radiomics
Authors: T Kuehn; W Klauss; M Darsow; S Regele; F Flock; C Maiterth; R Dahlbender; I Wendt; R Kreienberg Journal: Breast Cancer Res Treat Date: 2000-12 Impact factor: 4.872
Authors: Philippe Lambin; Emmanuel Rios-Velazquez; Ralph Leijenaar; Sara Carvalho; Ruud G P M van Stiphout; Patrick Granton; Catharina M L Zegers; Robert Gillies; Ronald Boellard; André Dekker; Hugo J W L Aerts Journal: Eur J Cancer Date: 2012-01-16 Impact factor: 9.162
Authors: Angeles Alvarez Secord; Vic Hasselblad; Vivian E Von Gruenigen; Paola A Gehrig; Susan C Modesitt; Victoria Bae-Jump; Laura J Havrilesky Journal: Gynecol Oncol Date: 2015-10-31 Impact factor: 5.482
Authors: S Amor; M C Iglesias-de la Cruz; E Ferrero; O García-Villar; V Barrios; N Fernandez; L Monge; A L García-Villalón; M Granado Journal: Int J Colorectal Dis Date: 2015-10-22 Impact factor: 2.571
Authors: Vetri Sudar Jayaprakasam; Viktoriya Paroder; Peter Gibbs; Raazi Bajwa; Natalie Gangai; Ramon E Sosa; Iva Petkovska; Jennifer S Golia Pernicka; James Louis Fuqua; David D B Bates; Martin R Weiser; Andrea Cercek; Marc J Gollub Journal: Eur Radiol Date: 2021-07-29 Impact factor: 7.034