The IASLC Lung Cancer Staging Project: Proposals for Revision of the TNM Stage Groupings in the Forthcoming (Eighth) Edition of the TNM Classification for Lung Cancer

By P. Goldstraw, K. Chansky, J. Crowley, Ramón Rami-Porta, H. Asamura, W. Eberhardt, A. Nicholson, P. Groome, A. Mitchell, V. Bolejack and 125 more. Journal of Thoracic Oncology, 2016

4,123 citations recorded by the source corpus.

ABSTRACT The IASLC Staging and Prognostic Factors Committee has collected a new database of 94,708 cases donated from 35 sources in 16 countries around the globe. This has now been analysed by our statistical partners at Cancer Research And Biostatistics and, in close collaboration with the members of the committee proposals have been developed for the T, N, and M categories of the 8th edition of the TNM Classification for lung cancer due to be published late 2016. In this publication we describe the methods used to evaluate the resultant Stage groupings and the proposals put forward for the 8th edition.

Subfields: Pulmonary and Respiratory Medicine, Surgery

View Paper: https://www.semanticscholar.org/paper/24c7415879a4baea6e033e341fa67458ab00d203

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Pulmonary and Respiratory Medicine

Citations in the corpus

Deep Learning Predicts Lung Cancer Treatment Response from Serial Medical Imaging (2019, background): “This signals the dire need for monitoring therapy response using follow up imaging and tracking radiographic changes of tumors over time (4).”
The 2021 WHO Classification of Lung Tumors: Impact of advances since 2015. (2021, background): “Most importantly, a complete resection should be obtained to yield the best prognosis as life expectancy is reduced in resections that are not R0, including so-called uncertain resections.(13) The recognition of STAS as a histologic feature within the WHO classification may be important in this fiel”