Prediction of pathologic complete response of neoadjuvant chemotherapy for early triple negative breast cancer using pre-therapeutic MRI - Archive ouverte HAL Access content directly
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Prediction of pathologic complete response of neoadjuvant chemotherapy for early triple negative breast cancer using pre-therapeutic MRI

Abstract

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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Dates and versions

hal-02899378 , version 1 (15-07-2020)

Identifiers

  • HAL Id : hal-02899378 , version 1

Cite

Angeline Nemeth, Pierre Chaudet, Benjamin Leporq, Pierre-Étienne Heudel, Olivier Trédan, et al.. Prediction of pathologic complete response of neoadjuvant chemotherapy for early triple negative breast cancer using pre-therapeutic MRI. ISMRM 2020, Aug 2020, Visual Conference, France. ⟨hal-02899378⟩
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