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作 者:杨红杰 张智春 孙轶[1] Yang Hongjie;Zhang Zhichun;Sun Yi(Department of Colorectal Surgery,Tianjin Union Medical Center,Tianjin 300121,China)
出 处:《中华结直肠疾病电子杂志》2023年第6期512-518,共7页Chinese Journal of Colorectal Diseases(Electronic Edition)
基 金:天津市卫生健康科研项目(No.ZC20081);天津市医学重点学科(专科)建设项目资助(No.TJYXZDXK-044A);天津市人民医院院级科研基金资助课题(No.2022GCXK001)。
摘 要:直肠癌淋巴结转移的诊断策略一直是外科领域研究的热点,目前,在手术前临床上通常以淋巴结的大小及形态学改变来判断淋巴结是否存在转移,但这种方法的准确性仍有待提高。近期研究提出临床危险因素构建淋巴结转移预测模型、影像组学模型、卷积神经网络模型等可更充分地利用患者临床检验及检查指标,提高直肠癌淋巴结转移的诊断效能,有助于直肠癌的个体化治疗。本文主要对直肠癌淋巴结转移的诊断方法进展进行综述,以期探讨高效能的直肠癌淋巴结转移诊断模型的可行性。The diagnosis strategy of lymph node metastasis of rectal cancer has always been a hot topic in the field of surgery.At present,the size and morphological changes of lymph nodes are usually used to judge whether lymph nodes have metastasis,but this method is not accurate.Recent studies have proposed that clinical risk factors such as lymph node metastasis prediction model,imaging omics model and convolutional neural network model can make better use of a variety of clinical tests and examination indicators of patients,improve the diagnostic efficiency of lymph node metastasis from rectal cancer,and contribute to the individualized treatment of rectal cancer.In this paper,the progress of diagnostic methods for lymph node metastasis of rectal cancer is reviewed,in order to explore the feasibility of a high-performance diagnostic model for lymph node metastasis of rectal cancer.
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