Literature DB >> 25326638

Projected outcomes using different nodule sizes to define a positive CT lung cancer screening examination.

David S Gierada1, Paul Pinsky2, Hrudaya Nath2, Caroline Chiles2, Fenghai Duan2, Denise R Aberle2.   

Abstract

BACKGROUND: Computed tomography (CT) screening for lung cancer has been associated with a high frequency of false positive results because of the high prevalence of indeterminate but usually benign small pulmonary nodules. The acceptability of reducing false-positive rates and diagnostic evaluations by increasing the nodule size threshold for a positive screen depends on the projected balance between benefits and risks.
METHODS: We examined data from the National Lung Screening Trial (NLST) to estimate screening CT performance and outcomes for scans with nodules above the 4mm NLST threshold used to classify a CT screen as positive. Outcomes assessed included screening results, subsequent diagnostic tests performed, lung cancer histology and stage distribution, and lung cancer mortality. Sensitivity, specificity, positive predictive value, and negative predictive value were calculated for the different nodule size thresholds. All statistical tests were two-sided.
RESULTS: In 64% of positive screens (11598/18141), the largest nodule was 7 mm or less in greatest transverse diameter. By increasing the threshold, the percentages of lung cancer diagnoses that would have been missed or delayed and false positives that would have been avoided progressively increased, for example from 1.0% and 15.8% at a 5 mm threshold to 10.5% and 65.8% at an 8 mm threshold, respectively. The projected reductions in postscreening follow-up CT scans and invasive procedures also increased as the threshold was raised. Differences across nodules sizes for lung cancer histology and stage distribution were small but statistically significant. There were no differences across nodule sizes in survival or mortality.
CONCLUSION: Raising the nodule size threshold for a positive screen would substantially reduce false-positive CT screenings and medical resource utilization with a variable impact on screening outcomes.
© The Author 2014. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.

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Year:  2014        PMID: 25326638      PMCID: PMC4207860          DOI: 10.1093/jnci/dju284

Source DB:  PubMed          Journal:  J Natl Cancer Inst        ISSN: 0027-8874            Impact factor:   13.506


  18 in total

1.  Guidelines for management of small pulmonary nodules detected on CT scans: a statement from the Fleischner Society.

Authors:  Heber MacMahon; John H M Austin; Gordon Gamsu; Christian J Herold; James R Jett; David P Naidich; Edward F Patz; Stephen J Swensen
Journal:  Radiology       Date:  2005-11       Impact factor: 11.105

2.  Evaluation of reader variability in the interpretation of follow-up CT scans at lung cancer screening.

Authors:  Satinder Singh; Paul Pinsky; Naomi S Fineberg; David S Gierada; Kavita Garg; Yanhui Sun; P Hrudaya Nath
Journal:  Radiology       Date:  2011-01-19       Impact factor: 11.105

3.  Reduced lung-cancer mortality with low-dose computed tomographic screening.

Authors:  Denise R Aberle; Amanda M Adams; Christine D Berg; William C Black; Jonathan D Clapp; Richard M Fagerstrom; Ilana F Gareen; Constantine Gatsonis; Pamela M Marcus; JoRean D Sicks
Journal:  N Engl J Med       Date:  2011-06-29       Impact factor: 91.245

Review 4.  The National Lung Screening Trial's Endpoint Verification Process: determining the cause of death.

Authors:  Pamela M Marcus; Ilana F Gareen; Anthony B Miller; Jennifer Rosenbaum; Kristen Keating; Denise R Aberle; Christine D Berg
Journal:  Contemp Clin Trials       Date:  2011-07-18       Impact factor: 2.226

5.  Lung cancer screening with CT: Mayo Clinic experience.

Authors:  Stephen J Swensen; James R Jett; Thomas E Hartman; David E Midthun; Jeff A Sloan; Anne-Marie Sykes; Gregory L Aughenbaugh; Medy A Clemens
Journal:  Radiology       Date:  2003-01-24       Impact factor: 11.105

6.  Baseline characteristics of participants in the randomized national lung screening trial.

Authors:  Denise R Aberle; Amanda M Adams; Christine D Berg; Jonathan D Clapp; Kathy L Clingan; Ilana F Gareen; David A Lynch; Pamela M Marcus; Paul F Pinsky
Journal:  J Natl Cancer Inst       Date:  2010-11-22       Impact factor: 13.506

7.  CT screening for lung cancer: suspiciousness of nodules according to size on baseline scans.

Authors:  Claudia I Henschke; David F Yankelevitz; David P Naidich; Dorothy I McCauley; Georgeann McGuinness; Daniel M Libby; James P Smith; Mark W Pasmantier; Olli S Miettinen
Journal:  Radiology       Date:  2004-02-27       Impact factor: 11.105

8.  The Pittsburgh Lung Screening Study (PLuSS): outcomes within 3 years of a first computed tomography scan.

Authors:  David O Wilson; Joel L Weissfeld; Carl R Fuhrman; Stephen N Fisher; Paula Balogh; Rodney J Landreneau; James D Luketich; Jill M Siegfried
Journal:  Am J Respir Crit Care Med       Date:  2008-07-17       Impact factor: 21.405

9.  The National Lung Screening Trial: results stratified by demographics, smoking history, and lung cancer histology.

Authors:  Paul F Pinsky; Timothy R Church; Grant Izmirlian; Barnett S Kramer
Journal:  Cancer       Date:  2013-08-26       Impact factor: 6.860

10.  Screening for lung cancer using low dose CT scanning.

Authors:  R MacRedmond; P M Logan; M Lee; D Kenny; C Foley; R W Costello
Journal:  Thorax       Date:  2004-03       Impact factor: 9.139

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  44 in total

1.  Performance of Lung-RADS in the National Lung Screening Trial: a retrospective assessment.

Authors:  Paul F Pinsky; David S Gierada; William Black; Reginald Munden; Hrudaya Nath; Denise Aberle; Ella Kazerooni
Journal:  Ann Intern Med       Date:  2015-04-07       Impact factor: 25.391

Review 2.  Imaging-based screening: maximizing benefits and minimizing harms.

Authors:  Jessica C Germino; Joann G Elmore; Ruth C Carlos; Christoph I Lee
Journal:  Clin Imaging       Date:  2015-06-12       Impact factor: 1.605

3.  Recommendations from the European Society of Thoracic Surgeons (ESTS) regarding computed tomography screening for lung cancer in Europe.

Authors:  Jesper Holst Pedersen; Witold Rzyman; Giulia Veronesi; Thomas A D'Amico; Paul Van Schil; Laureano Molins; Gilbert Massard; Gaetano Rocco
Journal:  Eur J Cardiothorac Surg       Date:  2017-03-01       Impact factor: 4.191

Review 4.  Management pathways for solitary pulmonary nodules.

Authors:  Masaoki Ito; Yoshihiro Miyata; Morihito Okada
Journal:  J Thorac Dis       Date:  2018-04       Impact factor: 2.895

5.  Lung cancer screening: the path forward.

Authors:  Caroline Chiles; Reginald F Munden
Journal:  Transl Lung Cancer Res       Date:  2018-06

Review 6.  The Pursuit of Noninvasive Diagnosis of Lung Cancer.

Authors:  Thomas Atwater; Christine M Cook; Pierre P Massion
Journal:  Semin Respir Crit Care Med       Date:  2016-10-12       Impact factor: 3.119

7.  Comparison Between Radiological Semantic Features and Lung-RADS in Predicting Malignancy of Screen-Detected Lung Nodules in the National Lung Screening Trial.

Authors:  Qian Li; Yoganand Balagurunathan; Ying Liu; Jin Qi; Matthew B Schabath; Zhaoxiang Ye; Robert J Gillies
Journal:  Clin Lung Cancer       Date:  2017-10-13       Impact factor: 4.785

8.  Micronodules Detected on Computed Tomography During the National Lung Screening Trial: Prevalence and Relation to Positive Studies and Lung Cancer.

Authors:  Reginald F Munden; Caroline Chiles; Phillip M Boiselle; JoRean D Sicks; Denise R Aberle; Constantine A Gatsonis
Journal:  J Thorac Oncol       Date:  2019-07-08       Impact factor: 15.609

Review 9.  Implementing lung cancer screening in the real world: opportunity, challenges and solutions.

Authors:  Robert J Optican; Caroline Chiles
Journal:  Transl Lung Cancer Res       Date:  2015-08

10.  Hybrid models for lung nodule malignancy prediction utilizing convolutional neural network ensembles and clinical data.

Authors:  Rahul Paul; Matthew B Schabath; Robert Gillies; Lawrence O Hall; Dmitry B Goldgof
Journal:  J Med Imaging (Bellingham)       Date:  2020-04-06
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