Frank C. Detterbeck MD , Marcin Ostrowski MD , Hans Hoffmann MD , Ramón Rami-Porta MD, FETCS , Ray U. Osarogiagbon M.B.B.S. , Jessica Donnington MD, MSCR , Maurizio Infante MD , Mirella Marino MD , Edith M. Marom MD , Jun Nakajima MD , Andrew G. Nicholson DM, FRCPath. , Paul van Schil MD , William D. Travis MD , Ming S. Tsao MD , John G. Edwards PhD, FRCS(C/Th) , Hisao Asamura MD , Members of the Staging and Prognostic Factors Committee and Advisory Boards
{"title":"国际肺癌研究协会肺癌分期项目:为即将出版的《肺癌 TNM 分类》(第九版)修订切除术后残留肿瘤分类的提案","authors":"Frank C. Detterbeck MD , Marcin Ostrowski MD , Hans Hoffmann MD , Ramón Rami-Porta MD, FETCS , Ray U. Osarogiagbon M.B.B.S. , Jessica Donnington MD, MSCR , Maurizio Infante MD , Mirella Marino MD , Edith M. Marom MD , Jun Nakajima MD , Andrew G. Nicholson DM, FRCPath. , Paul van Schil MD , William D. Travis MD , Ming S. Tsao MD , John G. Edwards PhD, FRCS(C/Th) , Hisao Asamura MD , Members of the Staging and Prognostic Factors Committee and Advisory Boards","doi":"10.1016/j.jtho.2024.03.021","DOIUrl":null,"url":null,"abstract":"<div><h3>Introduction</h3><p>The goal of surgical resection is to completely remove a cancer; it is useful to have a system to describe how well this was accomplished. This is captured by the residual tumor (R) classification, which is separate from the TNM classification that describes the anatomic extent of a cancer independent of treatment. The traditional R-classification designates as R0 a complete resection, as R1 a macroscopically complete resection but with microscopic tumor at the surgical margin, and as R2 a resection that leaves gross tumor behind. For lung cancer, an additional category encompasses situations in which the presence of residual tumor is uncertain.</p></div><div><h3>Methods</h3><p>This paper represents a comprehensive review of evidence regarding these R categories and the descriptors thereof, focusing on studies published after the year 2000 and with adjustment for potential confounders.</p></div><div><h3>Results</h3><p>Consistent discrimination between complete, uncertain, and incomplete resection is revealed with respect to overall survival. Evidence regarding specific descriptors is generally somewhat limited and only partially consistent; nevertheless, the data suggest retaining all descriptors but with clarifications to address ambiguities.</p></div><div><h3>Conclusion</h3><p>On the basis of this review, the R-classification for the ninth edition of stage classification of lung cancer is proposed to retain the same overall framework and descriptors, with more precise definitions of descriptors. These refinements should facilitate application and further research.</p></div>","PeriodicalId":17515,"journal":{"name":"Journal of Thoracic Oncology","volume":null,"pages":null},"PeriodicalIF":21.0000,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The International Association for the Study of Lung Cancer Lung Cancer Staging Project: Proposals for Revision of the Classification of Residual Tumor After Resection for the Forthcoming (Ninth) Edition of the TNM Classification of Lung Cancer\",\"authors\":\"Frank C. Detterbeck MD , Marcin Ostrowski MD , Hans Hoffmann MD , Ramón Rami-Porta MD, FETCS , Ray U. Osarogiagbon M.B.B.S. , Jessica Donnington MD, MSCR , Maurizio Infante MD , Mirella Marino MD , Edith M. Marom MD , Jun Nakajima MD , Andrew G. Nicholson DM, FRCPath. , Paul van Schil MD , William D. Travis MD , Ming S. Tsao MD , John G. 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引用次数: 0
摘要
手术切除的目的是彻底清除癌症;有一套系统来描述手术切除的效果是非常有用的。残留肿瘤(R)分类法就体现了这一点,它与 TNM 分类法不同,后者描述的是癌症的解剖范围,与治疗无关。传统的 R 分类法将完全切除定为 R0,将宏观上完全切除但手术边缘有微小肿瘤的切除定为 R1,将切除后留下大块肿瘤的切除定为 R2。对于肺癌,还有一类情况是无法确定是否存在残留肿瘤。本文全面回顾了有关这些 R 类别及其描述的证据,重点关注 2000 年以后发表的研究,并对潜在的混杂因素进行了调整。在总生存率方面,完全切除、不确定切除和不完全切除之间存在一致的区别。有关具体描述指标的证据一般都比较有限,而且只有部分是一致的;不过,数据建议保留所有描述指标,但要对模糊之处进行澄清。在此综述的基础上,建议第九版肺癌分期的 R 分类保留相同的总体框架和描述指标,并对描述指标进行更精确的定义。这些改进应有助于应用和进一步研究。
The International Association for the Study of Lung Cancer Lung Cancer Staging Project: Proposals for Revision of the Classification of Residual Tumor After Resection for the Forthcoming (Ninth) Edition of the TNM Classification of Lung Cancer
Introduction
The goal of surgical resection is to completely remove a cancer; it is useful to have a system to describe how well this was accomplished. This is captured by the residual tumor (R) classification, which is separate from the TNM classification that describes the anatomic extent of a cancer independent of treatment. The traditional R-classification designates as R0 a complete resection, as R1 a macroscopically complete resection but with microscopic tumor at the surgical margin, and as R2 a resection that leaves gross tumor behind. For lung cancer, an additional category encompasses situations in which the presence of residual tumor is uncertain.
Methods
This paper represents a comprehensive review of evidence regarding these R categories and the descriptors thereof, focusing on studies published after the year 2000 and with adjustment for potential confounders.
Results
Consistent discrimination between complete, uncertain, and incomplete resection is revealed with respect to overall survival. Evidence regarding specific descriptors is generally somewhat limited and only partially consistent; nevertheless, the data suggest retaining all descriptors but with clarifications to address ambiguities.
Conclusion
On the basis of this review, the R-classification for the ninth edition of stage classification of lung cancer is proposed to retain the same overall framework and descriptors, with more precise definitions of descriptors. These refinements should facilitate application and further research.
期刊介绍:
Journal of Thoracic Oncology (JTO), the official journal of the International Association for the Study of Lung Cancer,is the primary educational and informational publication for topics relevant to the prevention, detection, diagnosis, and treatment of all thoracic malignancies.The readship includes epidemiologists, medical oncologists, radiation oncologists, thoracic surgeons, pulmonologists, radiologists, pathologists, nuclear medicine physicians, and research scientists with a special interest in thoracic oncology.