Artigo Acesso aberto Revisado por pares

The IASLC Lung Cancer Staging Project: Methodology and Validation Used in the Development of Proposals for Revision of the Stage Classification of NSCLC in the Forthcoming (Eighth) Edition of the TNM Classification of Lung Cancer

2016; Elsevier BV; Volume: 11; Issue: 9 Linguagem: Inglês

10.1016/j.jtho.2016.06.028

ISSN

1556-1380

Autores

Frank Detterbeck, Kari Chansky, Patti A. Groome, Vanessa Bolejack, John Crowley, Lynn Shemanski, Catherine Kennedy, Mark Krasnik, Michael Peake, Ramón Rami–Porta, Peter Goldstraw, Ramón Rami–Porta, Hisao Asamura, David Ball, David G. Beer, R. Guijarro, Vanessa Bolejack, Kari Chansky, John Crowley, Frank Detterbeck, Wilfried Eberhardt, John Edwards, Françoise Galateau-Sallé, Dorothy J. Giroux, Fergus Gleeson, Patti A. Groome, James Huang, Catherine Kennedy, Young Tae Kim, Young Tae Kim, Laura Kingsbury, Haruhiko Kondo, Mark Krasnik, Kaoru Kubota, Antoon Lerut, Gustavo Lyons, Mirella Marino, Edith M. Marom, Jan P. van Meerbeeck, Alan Mitchell, Takashi Nakano, Andrew G. Nicholson, Anna K. Nowak, Michael Peake, Thomas W. Rice, Kenneth E. Rosenzweig, Enrico Ruffini, Valerie W. Rusch, Nagahiro Saijo, Paul Van Schil, Jean‐Paul Sculier, Lynn Shemanski, Kelly Stratton, Kenji Suzuki, Yuji Tachimori, Charles F. Thomas, William D. Travis, Ming‐Sound Tsao, Andrew T. Turrisi, Johan Vansteenkiste, Hirokazu Watanabe, Yi‐Long Wu, Paul Baas, Jeremy Erasmus, Seiki Hasegawa, Kouki Inai, Kemp Kernstine, Hedy L. Kindler, Lee M. Krug, Kristiaan Nackaerts, Harvey I. Pass, David C. Rice, Conrad Falkson, Pier Luigi Filosso, Giuseppe Giaccone, Kazuya Kondo, Marco Lucchi, Meinoshin Okumura, Eugene H. Blackstone, F. Abad Cavaco, Emilio Ansótegui Barrera, J. Abal Arca, Isaura Parente Lamelas, A. Arnau Obrer, R. Guijarro, David Ball, G.K. Bascom, Ana Isabel Blanco Orozco, M. A. González Castro, Matthew G. Blum, Domingo Chimondeguy, Vlado Cvijanović, Sebastián Defranchi, B. de Olaiz Navarro, I. Escobar Campuzano, Iván Macı́a, E. Fernández Araujo, F. Andreo García, Kwun M. Fong, Gloria Francisco Corral, S. Cerezo González, J. Freixinet Gilart, L. García Arangüena, S. García Barajas, Philippe Girard, Tuncay Göksel, M.T. González Budiño, Guillermo González Casaurrán, José Antonio Gullón Blanco, Jesús Hernández Hernández, H. Hernández Rodríguez, J. Herrero Collantes, M. Iglesias Heras, José Miguel Izquierdo Elena, Erik Jakobsen, S. Kostas, Pablo León Atance, Ana Núñez Ares, M. Liao, M. Losanovscky, Gustavo Lyons, R. Magaroles, L. De Esteban Júlvez, M. Mariñán Gorospe, Brian C. McCaughan, Catherine Kennedy, Rosario Melchor Íñiguez, Luis Miravet Sorribes, S. Naranjo Gozalo, C. Álvarez de Arriba, M. Núñez Delgado, J. Padilla Alarcón, Juan Carlos Peñalver Cuesta, J.S. Park, Harvey I. Pass, M.J. Pavón Fernández, M Rosenberg, Enrico Ruffini, Valerie W. Rusch, Julio Sánchez de Cos Escuín, A. Saura Vinuesa, M. Serra Mitjans, Trond‐Eirik Strand, Dragan Subotic, Stephen G. Swisher, Ricardo Mingarini Terra, C. Thomas, Kurt G. Tournoy, Paul Van Schil, Mauricio Velásquez, Yi‐Long Wu, K. Yokoi, Ramón Rami–Porta, David Ball, Vanessa Bolejack, John Crowley, Dorothy J. Giroux, Young Tae Kim, Gustavo Lyons, Thomas W. Rice, Kenji Suzuki, Charles F. Thomas, William D. Travis, Yi‐Long Wu, Hisao Asamura, David Ball, Kari Chansky, John Crowley, Peter Goldstraw, Valerie W. Rusch, Paul Van Schil, Johan Vansteenkiste, Hirokazu Watanabe, Yi‐Long Wu, M. Zieliński, Wilfried Eberhardt, Kari Chansky, John Crowley, Young Tae Kim, Haruhiko Kondo, Alan Mitchell, Andrew T. Turrisi, Patti A. Groome, Frank Detterbeck, Vanessa Bolejack, John Crowley, Catherine Kennedy, Mark Krasnik, Michael Peake, Jean‐Paul Sculier, Kari Chansky, John Crowley, Dorothy J. Giroux, Fergus Gleeson, Jan van Meeerbeeck, William D. Travis, Hisao Asamura, Kari Chansky, John Crowley, Dorothy J. Giroux, Andrew G. Nicholson, R. Guijarro, Kari Chansky, John Crowley, K. Kubota, Andrew T. Turrisi, Ming‐Sound Tsao, David G. Beer, John Crowley, Yi‐Long Wu, William D. Travis, Hisao Asamura, Alex Bankier, Mary Beth Beasley, Frank Detterbeck, Douglas B. Flieder, Jin Mo Goo, Heber MacMahon, David P. Naidich, Andrew G. Nicholson, Charles A. Powell, Mathias Prokop, Ramón Rami–Porta, Valerie W. Rusch, Paul Van Schil, Yasushi Yatabe, Frank Detterbeck, Douglas A. Arenberg, Hisao Asamura, Vanessa Bolejack, John Crowley, Jessica Donington, Wilbur A. Franklin, Nicolas Girard, Edith M. Marom, Peter J. Mazzone, Andrew G. Nicholson, Valerie W. Rusch, L.T. Tanoue, William D. Travis,

Tópico(s)

Radiomics and Machine Learning in Medical Imaging

Resumo

Abstract Introduction Stage classification provides a consistent language to describe the anatomic extent of disease and is therefore a critical tool in caring for patients. The Staging and Prognostic Factors Committee of the International Association for the Study of Lung Cancer developed proposals for revision of the classification of lung cancer for the eighth edition of the tumor, node, and metastasis (TNM) classification, which takes effect in 2017. Methods An international database of 94,708 patients with lung cancer diagnosed in 1999–2010 was assembled. This article describes the process and statistical methods used to refine the lung cancer stage classification. Results Extensive analysis allowed definition of tumor, node, and metastasis categories and stage groupings that demonstrated consistent discrimination overall and within multiple different patient cohorts (e.g., clinical or pathologic stage, R0 or R-any resection status, geographic region). Additional analyses provided evidence of applicability over time, across a spectrum of geographic regions, histologic types, evaluative approaches, and follow-up intervals. Conclusions An extensive analysis has produced stage classification proposals for lung cancer with a robust degree of discriminatory consistency and general applicability. Nevertheless, external validation is encouraged to identify areas of strength and weakness; a sound validation should have discriminatory ability and be based on an independent data set of adequate size and sufficient follow-up with enough patients for each subgroup.

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