Abstract #1459

Radiomics and Background Parenchymal Enhancement of Fibroglandular Tissue for Predicting Treatment Response in Triple-Negative Breast Cancer

Rania M Mohamed¹, Jong Bum Son², Beatriz Adrada³, Tanya Moseley³, Gary Whitman³, Rosalind Candelaria³, Bikash Panthi⁴, Huiqin Chen⁵, Mary Guirguis³, Jessica Leung³, Ken-Pin Hwang², Sanaz Pashapoor³, Miral Patel³, Marion Scoggins⁶, Huong Le-Petross³, Deanna Lane³, Frances Perez³, Peng Wei⁵, Zhan Xu², Debu Tripathy⁷, Wei Yang³, Clinton Yam⁷, Jingfei Ma², and Gaiane M Rauch⁸

¹Cancer Systems Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX, United States, ²Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, United States, ³Breast Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX, United States, ⁴Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, United States, ⁵Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, United States, ⁶Radiology - Breast Imaging, UT Southwestern Medical Center, Dallas, TX, United States, ⁷Breast Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, United States, ⁸Abdominal and Breast Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX, United States

Synopsis

Keywords: Breast, Cancer, Treatment response, DCE-MRI, neoadjuvant therapy

Motivation: No imaging biomarkers are currently available for predicting response to neoadjuvant systemic treatment (NAST) in triple negative breast cancer (TNBC), contributing to toxicity to patients from ineffective treatment regimens.

Goal(s): To evaluate if quantitative analyses of breast parenchyma can serve as noninvasive biomarker of treatment response in TNBC.

Approach: Mean background parenchymal enhancement (BPE) and radiomic features of fibroglandular tissue from longitudinal DCE-MRI were evaluated using AUC analysis on a prospective cohort of 273 TNBC patients.

Results: Four first order radiomic features were predictive of pCR with AUC>0.6. Multivariable radiomic models and BPE changes had AUC<0.6 for pCR prediction in TNBC undergoing NAST.

Impact: Radiomic features from fibroglandular tissue and background parenchymal enhancement changes in ipsilateral and contralateral breasts using DCE MRI during treatment of triple-negative breast cancer patients were evaluated as noninvasive biomarkers for prediction of pathologic complete response to neoadjuvant systemic therapy.

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