Pathologic Complete Response Prediction after Neoadjuvant Chemoradiation Therapy for Rectal Cancer Using Radiomics and Deep Embedding Network of MRI

Pathologic Complete Response Prediction after Neoadjuvant Chemoradiation Therapy for Rectal Cancer Using Radiomics and Deep Embedding Network of MRI

Assessment of magnetic resonance imaging (MRI) after neoadjuvant chemoradiation therapy (nCRT) is essential in rectal cancer staging and treatment planning. However, when predicting the pathologic complete response (pCR) after nCRT for rectal cancer, existing works either rely on simple quantitative...

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Bibliographic Details
Main Authors: Seunghyun Lee, Joonseok Lim, Jaeseung Shin, Sungwon Kim, Heasoo Hwang
Format: Article
Language:English
Published: MDPI AG 2021-10-01
Series:Applied Sciences
Subjects:
convolutional neural network (CNN)
magnetic resonance imaging (MRI)
neoadjuvant chemoradiation therapy (nCRT)
pathologic complete response (pCR)
radiomics
rectal cancer
Online Access:https://www.mdpi.com/2076-3417/11/20/9494

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https://www.mdpi.com/2076-3417/11/20/9494

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