基于机器学习算法的转移性结直肠癌中医动态治疗策略

IF 2.2 3区 医学 Q2 INTEGRATIVE & COMPLEMENTARY MEDICINE
Chinese Journal of Integrative Medicine Pub Date : 2024-11-01 Epub Date: 2024-03-27 DOI:10.1007/s11655-024-3718-4
Yu-Ying Xu, Qiu-Yan Li, Dan-Hui Yi, Yue Chen, Jia-Wei Zhai, Tong Zhang, Ling-Yun Sun, Yu-Fei Yang
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引用次数: 0

摘要

目的通过机器学习算法建立转移性大肠癌(mCRC)中医药动态治疗策略,为mCRC中医药治疗策略的选择提供参考:方法:从中国医学科学院西苑医院肿瘤科门诊197例mCRC病例中筛选出符合纳入标准的病例。根据不同的中医干预策略,将患者分为 3 组:单纯中医治疗组、中西医并重治疗组(中医结合肿瘤局部治疗、口服化疗或靶向药物)和中医辅助西医治疗组(中医结合西医静脉治疗)。中药干预患者的生存时间作为最终评价指标。将影响中药干预方案选择的因素作为决策变量进行筛选。基于生存成本敏感分类学习算法(CSCLSurv),探讨了mCRC的动态中医干预和治疗策略。采用 Kaplan-Meier 法估算患者的生存期,并将接受模型推荐治疗方案的患者的生存期与接受实际治疗方案的患者的生存期进行比较:结果:以接受中医干预治疗的患者生存时间为评价指标,建立了基于CSCLSurv的mCRC动态中医干预治疗策略。根据动态决策变量,如性别、年龄、东部合作肿瘤学组评分、肿瘤部位、转移部位、基因分型以及患者首次就诊时的西医治疗分期,可选择不同的mCRC中医干预治疗策略。接受模型推荐治疗方案的患者的中位生存时间为 35 个月,而接受实际治疗方案的患者的中位生存时间为 26.0 个月(P=0.06):结论:基于CSCLSurv的mCRC动态治疗策略在为CM提供临床提示方面发挥了一定作用。在未来样本量更大的前瞻性研究中,它还能得到进一步改进。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Dynamic Treatment Strategy of Chinese Medicine for Metastatic Colorectal Cancer Based on Machine Learning Algorithm.

Objective: To establish the dynamic treatment strategy of Chinese medicine (CM) for metastatic colorectal cancer (mCRC) by machine learning algorithm, in order to provide a reference for the selection of CM treatment strategies for mCRC.

Methods: From the outpatient cases of mCRC in the Department of Oncology at Xiyuan Hospital, China Academy of Chinese Medical Sciences, 197 cases that met the inclusion criteria were screened. According to different CM intervention strategies, the patients were divided into 3 groups: CM treatment alone, equal emphasis on Chinese and Western medicine treatment (CM combined with local treatment of tumors, oral chemotherapy, or targeted drugs), and CM assisted Western medicine treatment (CM combined with intravenous regimen of Western medicine). The survival time of patients undergoing CM intervention was taken as the final evaluation index. Factors affecting the choice of CM intervention scheme were screened as decision variables. The dynamic CM intervention and treatment strategy for mCRC was explored based on the cost-sensitive classification learning algorithm for survival (CSCLSurv). Patients' survival was estimated using the Kaplan-Meier method, and the survival time of patients who received the model-recommended treatment plan were compared with those who received actual treatment plan.

Results: Using the survival time of patients undergoing CM intervention as the evaluation index, a dynamic CM intervention therapy strategy for mCRC was established based on CSCLSurv. Different CM intervention strategies for mCRC can be selected according to dynamic decision variables, such as gender, age, Eastern Cooperative Oncology Group score, tumor site, metastatic site, genotyping, and the stage of Western medicine treatment at the patient's first visit. The median survival time of patients who received the model-recommended treatment plan was 35 months, while those who receive the actual treatment plan was 26.0 months (P=0.06).

Conclusions: The dynamic treatment strategy of CM, based on CSCLSurv for mCRC, plays a certain role in providing clinical hints in CM. It can be further improved in future prospective studies with larger sample sizes.

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来源期刊
Chinese Journal of Integrative Medicine
Chinese Journal of Integrative Medicine 医学-全科医学与补充医学
CiteScore
5.90
自引率
3.40%
发文量
2413
审稿时长
3 months
期刊介绍: Chinese Journal of Integrative Medicine seeks to promote international communication and exchange on integrative medicine as well as complementary and alternative medicine (CAM) and provide a rapid forum for the dissemination of scientific articles focusing on the latest developments and trends as well as experiences and achievements on integrative medicine or CAM in clinical practice, scientific research, education and healthcare.
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