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Abstract #4880

Prediction of pathologic complete response of neoadjuvant chemotherapy for early triple negative breast cancer using pre-therapeutic MRI

Angeline Nemeth1, Pierre Chaudet2, Benjamin Leporq1, Pierre-Etienne Heudel3, Olivier Tredan3, Isabelle Treilleux4, Frank Pilleul2, Agnès Coulon2, and Olivier Beuf1
1Univ Lyon, INSA‐Lyon, Université Claude Bernard Lyon 1, UJM-Saint Etienne, CNRS, Inserm, CREATIS UMR 5220, U1206, F69621, Lyon, France, 2Department of Radiology, Centre Léon Bérard, Lyon, France, 3Department of Medical Oncology, Centre Léon Bérard, Lyon, France, 4Department of Pathology, Centre Léon Bérard, Lyon, France

A total of 76 patients were enrolled in this retrospective monocentric study. All patients had a non-metastatic triple negative breast cancer and underwent a pre-therapeutic MRI protocol (T1-weighted, T2-weigthed, diffusion-weighted and dynamic-contrast-enhanced imaging) before a neoadjuvant chemotherapy. Results of radiomic analyses based on multiple contrast images and using 3 classifiers (support vector machine, Random forest and multilayer perceptron) were leading to a relative interest of using a combination of features extracted from DCE-MRI, T1W and T2W in the aim to predict responders and non-responders.

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