Back to Search Start Over

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

Authors :
Frank C. Detterbeck
Kari Chansky
Patti Groome
Vanessa Bolejack
John Crowley
Lynn Shemanski
Catherine Kennedy
Mark Krasnik
Michael Peake
Ramón Rami-Porta
Peter Goldstraw
Hisao Asamura
David Ball
David G. Beer
Ricardo Beyruti
Frank Detterbeck
Wilfried Ernst Erich Eberhardt
John Edwards
Françoise Galateau-Sallé
Dorothy Giroux
Fergus Gleeson
James Huang
Jhingook Kim
Young Tae Kim
Laura Kingsbury
Haruhiko Kondo
Kaoru Kubota
Antoon Lerut
Gustavo Lyons
Mirella Marino
Edith M. Marom
Jan van Meerbeeck
Alan Mitchell
Takashi Nakano
Andrew G. Nicholson
Anna Nowak
Thomas Rice
Kenneth Rosenzweig
Enrico Ruffini
Valerie Rusch
Nagahiro Saijo
Paul Van Schil
Jean-Paul Sculier
Kelly Stratton
Kenji Suzuki
Yuji Tachimori
Charles F. Thomas
William Travis
Ming S. Tsao
Andrew Turrisi
Johan Vansteenkiste
Hirokazu Watanabe
Yi-Long Wu
Paul Baas
Jeremy Erasmus
Seiki Hasegawa
Kouki Inai
Kemp Kernstine
Hedy Kindler
Lee Krug
Kristiaan Nackaerts
Harvey Pass
David Rice
Conrad Falkson
Pier Luigi Filosso
Giuseppe Giaccone
Kazuya Kondo
Marco Lucchi
Meinoshin Okumura
Eugene Blackstone
F. Abad Cavaco
E. Ansótegui Barrera
J. Abal Arca
I. Parente Lamelas
A. Arnau Obrer
R. Guijarro Jorge
D. Ball
G.K. Bascom
A. I. Blanco Orozco
M. A. González Castro
M.G. Blum
D. Chimondeguy
V. Cvijanovic
S. Defranchi
B. de Olaiz Navarro
I. Escobar Campuzano
I. Macía Vidueira
E. Fernández Araujo
F. Andreo García
K.M. Fong
G. Francisco Corral
S. Cerezo González
J. Freixinet Gilart
L. García Arangüena
S. García Barajas
P. Girard
T. Goksel
M. T. González Budiño
G. González Casaurrán
J. A. Gullón Blanco
J. Hernández Hernández
H. Hernández Rodríguez
J. Herrero Collantes
M. Iglesias Heras
J. M. Izquierdo Elena
E. Jakobsen
S. Kostas
P. León Atance
A. Núñez Ares
M. Liao
M. Losanovscky
G. Lyons
R. Magaroles
L. De Esteban Júlvez
M. Mariñán Gorospe
B. McCaughan
C. Kennedy
R. Melchor Íñiguez
L. Miravet Sorribes
S. Naranjo Gozalo
C. Álvarez de Arriba
M. Núñez Delgado
J. Padilla Alarcón
J. C. Peñalver Cuesta
J.S. Park
M. J. Pavón Fernández
M. Rosenberg
E. Ruffini
V. Rusch
J. Sánchez de Cos Escuín
A. Saura Vinuesa
M. Serra Mitjans
T.E. Strand
D. Subotic
S. Swisher
R. Terra
C. Thomas
K. Tournoy
P. Van Schil
M. Velasquez
Y.L. Wu
K. Yokoi
Ramon Rami-Porta
Dorothy J. Giroux
William D. Travis
Paul van Schil
Marcin Zielinski
Wilfried Eberhardt
Jan van Meeerbeeck
Andrew Nicholson
Kouru Kubota
Alex Bankier
Mary Beth Beasley
Douglas B. Flieder
Jin Mo Goo
Heber MacMahon
David Naidich
Charles A. Powell
Mathias Prokop
Yasushi Yatabe
Douglas A. Arenberg
Jessica S. Donington
Wilbur A. Franklin
Nicolas Girard
Peter J. Mazzone
Valerie W. Rusch
Lynn T. Tanoue
Eberhardt, Wilfried (Beitragende*r)
Publication Year :
2016
Publisher :
Elsevier, 2016.

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.

Details

Database :
OpenAIRE
Accession number :
edsair.doi.dedup.....0235d2cb9b0e393dd45003d86deff602