Prediction of chemotherapy response in breast cancer patients at pre-treatment using second derivative texture of CT images and machine learning

Although neoadjuvant chemotherapy (NAC) is a crucial component of treatment for locally advanced breast cancer (LABC), only about 70% of patients respond to it. Effective adjustment of NAC for individual patients can significantly improve survival rates of those resistant to standard regimens. Thus,...

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Principais autores:	Hadi Moghadas-Dastjerdi, Shan-E-Tallat Hira Rahman, Lakshmanan Sannachi, Frances C. Wright, Sonal Gandhi, Maureen E. Trudeau, Ali Sadeghi-Naini, Gregory J. Czarnota
Format:	Artigo
Jezik:	Inglês
Izdano:	Elsevier 2021-10-01
Serija:	Translational Oncology
Teme:	Locally advanced breast cancer (LABC) Neoadjuvant chemotherapy (NAC) Quantitative computed tomography (qCT) Personalized medicine Machine learning Derivative textures
Online dostop:	http://www.sciencedirect.com/science/article/pii/S1936523321001753
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