ISSN 1004-4140
CN 11-3017/P
贾建业, 丁聪, 周围, 等. 结直肠癌基因突变状态预测的影像学研究进展[J]. CT理论与应用研究, 2023, 32(1): 147-152. DOI: 10.15953/j.ctta.2022.028.
引用本文: 贾建业, 丁聪, 周围, 等. 结直肠癌基因突变状态预测的影像学研究进展[J]. CT理论与应用研究, 2023, 32(1): 147-152. DOI: 10.15953/j.ctta.2022.028.
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).

结直肠癌基因突变状态预测的影像学研究进展

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

  • 摘要: 随着临床医师对于结直肠癌(CRC)患者个性化诊疗策略的进一步需求,CRC患者在确诊或病变转移时进行突变基因谱检测显得尤为重要,通过非侵入性的影像学检查分析肿瘤生物学特性,对CRC患者的遗传信息进行有效预测已成为该领域的研究热点。本文围绕不同的影像学方法预测CRC基因突变状态的应用进行综述。

     

    Abstract: 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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