Abstract #0062

Radiomics model based on MAGIC acquisition for predicting neoadjuvant systemic treatment response in triple-negative breast cancer.

Nabil Elshafeey¹, Gaiane M. Rauch², Aikaterini Kotrotsou³, Beatriz E. Adrada¹, Rosalind P. Candelaria¹, Abeer H. Abdelhafez¹, Huiqin Chen⁴, Jia Sun⁴, Medine Boge¹, Rania M. M Mohamed¹, Benjamin C. Musall⁵, Jong Bum Son⁵, Shu Zhang⁶, Jason B. White⁷, Brandy Willis⁵, Elizabeth Ravenberg⁷, Wei Peng⁴, Stacy L. Moulder⁷, Wei Yang¹, Mark D. Pagel⁶, Jingfei Ma⁵, and Ken-Pin Hwang⁵

¹Breast Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX, United States, ²Breast and Abdominal imaging, The University of Texas MD Anderson Cancer Center, Houston, TX, United States, ³The University of Texas MD Anderson Cancer Center, Houston, TX, United States, ⁴Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, United States, ⁵Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, United States, ⁶Cancer Systems Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX, United States, ⁷Breast Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, United States

Early identification of treatment response to neoadjuvant systemic therapy (NAST) in Triple Negative Breast Cancer (TNBC) patients is important for appropriate treatment selection and response monitoring. In this study we evaluated the ability of a radiomic model extracted from a novel sequence, Magnetic Resonance Image Compilation (MAGIC), acquired before treatment initiation, to predict NAST response in TNBC. Our results showed that the radiomic signature derived from MAGIC maps (T1, PD and T2) can help differentiate responders from non-responders at baseline evaluation.

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