ISSN 1004-4140
CN 11-3017/P
JIA J Y, DING C, ZHOU W, et al. Advances in Research on Image-based Prediction of Colorectal in Cancer Gene Mutation Status[J]. CT Theory and Applications, 2023, 32(1): 147-152. DOI: 10.15953/j.ctta.2022.028. (in Chinese).
Citation: JIA J Y, DING C, ZHOU W, et al. Advances in Research on Image-based Prediction of Colorectal in Cancer Gene Mutation Status[J]. CT Theory and Applications, 2023, 32(1): 147-152. DOI: 10.15953/j.ctta.2022.028. (in Chinese).

Advances in Research on Image-based Prediction of Colorectal in Cancer Gene Mutation Status

  • Clinicians are increasingly demanding personalized treatment strategies for patients with colorectal cancer (CRC). Detection of mutated gene profiles is particularly important when patients are diagnosed with CRC or metastatic CRC. Effective prediction of the gene status of patients with CRC by analyzing their tumor biological characteristics through non-invasive imaging has become a research hotspot. This review focuses on the application of different imaging methods to predict the gene mutation status in CRC.
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