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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