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Scientific article
English

Treatment Response Prediction using MRI-based Pre-, Post- and Delta-Radiomic Features and Machine Learning Algorithms in Colorectal Cancer

Published inMedical Physics, vol. 48, no. 7, p. 3691-3701
Publication date2021
Abstract

We evaluate the feasibility of treatment response prediction using MRI-based pre-, post- and delta-radiomic features for locally advanced rectal cancer (LARC) patients treated by neoadjuvant chemoradiation therapy (nCRT).

Keywords
  • MRI
  • Delta-radiomics
  • Machine learning
  • Rectal cancer
  • Treatment response
Citation (ISO format)
SHAYESTEH, Sajad P et al. Treatment Response Prediction using MRI-based Pre-, Post- and Delta-Radiomic Features and Machine Learning Algorithms in Colorectal Cancer. In: Medical Physics, 2021, vol. 48, n° 7, p. 3691–3701. doi: 10.1002/mp.14896
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Article (Published version)
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Identifiers
ISSN of the journal0094-2405
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Technical informations

Creation05/18/2021 3:30:00 PM
First validation05/18/2021 3:30:00 PM
Update time03/16/2023 1:26:43 AM
Status update03/16/2023 1:26:42 AM
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