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一种用于检查癌症患者淋巴结的 3M 评估方案:多模态、多组学、多阶段方法。

A 3 M Evaluation Protocol for Examining Lymph Nodes in Cancer Patients: Multi-Modal, Multi-Omics, Multi-Stage Approach.

机构信息

Department of Head and Neck Oncology, West China Hospital of Stomatology, Sichuan University, Chengdu, China.

出版信息

Technol Cancer Res Treat. 2024 Jan-Dec;23:15330338241277389. doi: 10.1177/15330338241277389.

Abstract

Through meticulous examination of lymph nodes, the stage and severity of cancer can be determined. This information is invaluable for doctors to select the most appropriate treatment plan and predict patient prognosis; however, any oversight in the examination of lymph nodes may lead to cancer metastasis and poor prognosis. In this review, we summarize a significant number of articles supported by statistical data and clinical experience, proposing a standardized evaluation protocol for lymph nodes. This protocol begins with preoperative imaging to assess the presence of lymph node metastasis. Radiomics has replaced the single-modality approach, and deep learning models have been constructed to assist in image analysis with superior performance to that of the human eye. The focus of this review lies in intraoperative lymphadenectomy. Multiple international authorities have recommended specific numbers for lymphadenectomy in various cancers, providing surgeons with clear guidelines. These numbers are calculated by applying various statistical methods and real-world data. In the third chapter, we mention the growing concern about immune impairment caused by lymph node dissection, as the lack of CD8 memory T cells may have a negative impact on postoperative immunotherapy. Both excessive and less lymph node dissection have led to conflicting findings on postoperative immunotherapy. In conclusion, we propose a protocol that can be referenced by surgeons. With the systematic management of lymph nodes, we can control tumor progression with the greatest possible likelihood, optimize the preoperative examination process, reduce intraoperative risks, and improve postoperative quality of life.

摘要

通过对淋巴结的细致检查,可以确定癌症的分期和严重程度。这些信息对于医生选择最合适的治疗方案和预测患者预后至关重要;然而,淋巴结检查中的任何疏忽都可能导致癌症转移和预后不良。在这篇综述中,我们总结了大量的文章,这些文章提供了统计数据和临床经验支持,提出了一种标准化的淋巴结评估方案。该方案从术前影像学评估开始,以确定是否存在淋巴结转移。放射组学已经取代了单一模式方法,并且已经构建了深度学习模型来辅助图像分析,其性能优于人眼。这篇综述的重点是术中淋巴结切除术。多个国际权威机构已经为各种癌症推荐了特定数量的淋巴结切除术,为外科医生提供了明确的指导方针。这些数字是通过应用各种统计方法和真实世界的数据计算得出的。在第三章中,我们提到了人们越来越关注淋巴结清扫术引起的免疫功能损害,因为缺乏 CD8 记忆 T 细胞可能对术后免疫治疗产生负面影响。淋巴结清扫过多或过少都导致了术后免疫治疗的结果存在冲突。总之,我们提出了一个可以供外科医生参考的方案。通过对淋巴结的系统管理,我们可以最大程度地控制肿瘤的进展,优化术前检查流程,降低术中风险,并提高术后生活质量。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2d8b/11456957/5f78f544d670/10.1177_15330338241277389-fig1.jpg

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