@article{365d300ed64c47d4b9180773d8ab5e48,
title = "Variable radiological lung nodule evaluation leads to divergent management recommendations",
abstract = "Radiological evaluation of incidentally detected lung nodules on computed tomography (CT) influences management. We assessed international radiological variation in 1) pulmonary nodule characterisation; 2) hypothetical guideline-derived management; and 3) radiologists' management recommendations. 107 radiologists from 25 countries evaluated 69 CT-detected nodules, recording: 1) first-choice composition (solid, part-solid or ground-glass, with percentage confidence); 2) morphological features; 3) dimensions; 4) recommended management; and 5) decision-influencing factors. We modelled hypothetical management decisions on the 2005 and updated 2017 Fleischner Society, and both liberal and parsimonious interpretations of the British Thoracic Society 2015 guidelines. Overall agreement for first-choice nodule composition was good (Fleiss' κ=0.65), but poorest for partsolid nodules (weighted κ 0.62, interquartile range 0.50-0.71). Morphological variables, including spiculation (κ=0.35), showed poor-to-moderate agreement (κ=0.23-0.53). Variation in diameter was greatest at key thresholds (5 mm and 6 mm). Agreement for radiologists' recommendations was poor (κ=0.30); 21% disagreed with the majority. Although agreement within the four guideline-modelled management strategies was good (κ=0.63-0.73), 5-10% of radiologists would disagree with majority decisions if they applied guidelines strictly. Agreement was lowest for part-solid nodules, while significant measurement variation exists at important size thresholds. These variations resulted in generally good agreement for guideline-modelled management, but poor agreement for radiologists' actual recommendations.",
keywords = "Adult, Aged, Aged, 80 and over, Female, Humans, Lung Neoplasms/diagnostic imaging, Male, Middle Aged, Multiple Pulmonary Nodules/diagnostic imaging, Observer Variation, Practice Guidelines as Topic, Radiologists, Reproducibility of Results, Solitary Pulmonary Nodule/diagnostic imaging, Tomography, X-Ray Computed",
author = "Arjun Nair and Bartlett, {Emily C.} and Walsh, {Simon L.F.} and Wells, {Athol U.} and Neal Navani and Georgia Hardavella and Sanjeev Bhalla and Lucio Calandriello and Anand Devaraj and Goo, {Jin Mo} and Klein, {Jeffrey S.} and Heber MacMahon and Schaefer-Prokop, {C. M.} and Seo, {Joon Beom} and Nicola Sverzellati and Desai, {Sujal R.} and Fredrik Ahlfors and Andr{\'e}a Bastos and Julien Behr and Jiri Benes and Gracijela Bozovic and Buzan, {Maria Teodora} and Eva Casta{\~n}er and Marcelo Chaves and Choi, {Yo Won} and Giorgia Dalpiaz and Sarojini David and {De Jong}, {Pim A.} and Gael Dournes and Matthias Eberhard and Dante Escuissato and Alessandra Farchione and Lucia Flors and Paola Franchi and Thomas Frauenfelder and Kiminori Fujimoto and Marco Gatti and Giampaolo Gavelli and Aleksandar Grgic and Louise Haine and Linda Haramati and Thomas Hartman and Ieneke Hartmann and Hering, {Jan Philipp} and Vincent Herpels and Inmaculada Herr{\'a}ez and Susan Hobbs and Bruno Hochhegger and Nur Hursoy and Joana Ip",
note = "Funding Information: Conflict of interest: A. Nair: this work was partly undertaken at University College London Hospitals (UCLH)/ University College London (UCL), by A. Nair, who received a proportion of funding from the Department of Health National Institute for Health Research (NIHR) Biomedical Research Centres funding scheme. A. Nair is a member of the advisory board for Aidence Artificial Intelligence, but has not received any fees from this entity to date, and the work with this entity is not in any way related to the current submission. E.C. Bartlett has nothing to disclose. S.L.F. Walsh has nothing to disclose. A.U. Wells has nothing to disclose. N. Navani has nothing to disclose. G. Hardavella has nothing to disclose. S. Bhalla has nothing to disclose. L. Calandriello has nothing to disclose. A. Devaraj has nothing to disclose. J.M. Goo reports grants from Lunit Inc., outside the submitted work. J.S. Klein has nothing to disclose. H. MacMahon reports personal fees for advisory board work from Riverain Technologies, personal fees for consultancy from GE Healthcare, grants from Philips Healthcare, honoraria from Konica-Minolta, stock options for research collaborations from Hologic, and payments for patents and licences from University of Chicago, outside the submitted work. C.M. Schaefer-Prokop has nothing to disclose. J-B. Seo has nothing to disclose. N. Sverzellati reports personal fees from Roche and Boehringer Ingelheim, outside the submitted work. S.R. Desai has nothing to disclose. Funding Information: Support statement: This work was partly undertaken at University College London Hospitals (UCLH)/University College London (UCL), by A. Nair and N. Navani, who received a proportion of funding from the Department of Health National Institute for Health Research (NIHR) Biomedical Research Centres funding scheme. Funding information for this article has been deposited with the Crossref Funder Registry. Publisher Copyright: {\textcopyright} ERS 2018. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.",
year = "2018",
month = dec,
doi = "10.1183/13993003.01359-2018",
language = "English",
volume = "52",
pages = "1--12",
journal = "European Respiratory Journal",
issn = "0903-1936",
publisher = "European Respiratory Society",
number = "6",
}