Multi-center evaluation of machine learning-based radiomic model in predicting disease free survival and adjuvant chemotherapy benefit in stage II colorectal cancer patients

Multi-center evaluation of machine learning-based radiomic model in predicting disease free survival and adjuvant chemotherapy benefit in stage II colorectal cancer patients

Abstract Background Our study aimed to explore the potential of radiomics features derived from CT images in predicting the prognosis and response to adjuvant chemotherapy (ACT) in patients with Stage II colorectal cancer (CRC). Methods A total of 478 patients with confirmed stage II CRC, with 313 f...

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Bibliographic Details
Main Authors: Hui Zhu, Muni Hu, Yanru Ma, Xun Yao, Xiaozhu Lin, Menglei Li, Yue Li, Zhiyuan Wu, Debing Shi, Tong Tong, Haoyan Chen
Format: Article
Language:English
Published: BMC 2023-08-01
Series:Cancer Imaging
Subjects:
Radiomics
Computed tomography
Prognosis
Stage II colorectal cancer
Adjuvant chemotherapy
Online Access:https://doi.org/10.1186/s40644-023-00588-1

Internet

https://doi.org/10.1186/s40644-023-00588-1

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