Literature DB >> 23592767

National lung screening trial: variability in nodule detection rates in chest CT studies.

Paul F Pinsky1, David S Gierada, P Hrudaya Nath, Ella Kazerooni, Judith Amorosa.   

Abstract

PURPOSE: To characterize the variability in radiologists' interpretations of computed tomography (CT) studies in the National Lung Screening Trial (NLST) (including assessment of false-positive rates [FPRs] and sensitivity), to examine factors that contribute to variability, and to evaluate trade-offs between FPRs and sensitivity among different groups of radiologists.
MATERIALS AND METHODS: The HIPAA-compliant NLST was approved by the institutional review board at each screening center; all participants provided informed consent. NLST radiologists reported overall screening results, nodule-specific findings, and recommendations for diagnostic follow-up. A noncalcified nodule of 4 mm or larger constituted a positive screening result. The FPR was defined as the rate of positive screening examinations in participants without a cancer diagnosis within 1 year. Descriptive analyses and mixed-effects models were utilized. The average odds ratio (OR) for a false-positive result across all pairs of radiologists was used as a measure of variability.
RESULTS: One hundred twelve radiologists at 32 screening centers each interpreted 100 or more NLST CT studies, interpreting 72 160 of 75 126 total NLST CT studies in aggregate. The mean FPR for radiologists was 28.7% ± 13.7 (standard deviation), with a range of 3.8%-69.0%. The model yielded an average OR of 2.49 across all pairs of radiologists and an OR of 1.83 for pairs within the same screening center. Mean FPRs were similar for academic versus nonacademic centers (27.9% and 26.7%, respectively) and for centers inside (25.0%) versus outside (28.7%) the U.S. "histoplasmosis belt." Aggregate sensitivity was 96.5% for radiologists with FPRs higher than the median (27.1%), compared with 91.9% for those with FPRs lower than the median (P = .02).
CONCLUSION: There was substantial variability in radiologists' FPRs. Higher FPRs were associated with modestly higher sensitivity.

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Year:  2013        PMID: 23592767      PMCID: PMC3750416          DOI: 10.1148/radiol.13121530

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  17 in total

1.  Interpreting parameters in the logistic regression model with random effects.

Authors:  K Larsen; J H Petersen; E Budtz-Jørgensen; L Endahl
Journal:  Biometrics       Date:  2000-09       Impact factor: 2.571

2.  Accuracy of screening mammography interpretation by characteristics of radiologists.

Authors:  William E Barlow; Chen Chi; Patricia A Carney; Stephen H Taplin; Carl D'Orsi; Gary Cutter; R Edward Hendrick; Joann G Elmore
Journal:  J Natl Cancer Inst       Date:  2004-12-15       Impact factor: 13.506

3.  Solitary pulmonary nodule diagnosis on CT: results of an observer study.

Authors:  Sumit K Shah; Michael F McNitt-Gray; Kheshini R De Zoysa; James W Sayre; Hyun J Kim; Poonam Batra; Azita Behrashi; Kathleen Brown; Lloyd E Greaser; Jinha M Park; Donald K Roback; Carol Wu; Edward Zaragoza; Jonathan G Goldin; Robert D Suh; Matthew S Brown; Denise R Aberle
Journal:  Acad Radiol       Date:  2005-04       Impact factor: 3.173

4.  Pulmonary nodule detection with low-dose CT of the lung: agreement among radiologists.

Authors:  Joseph K Leader; Thomas E Warfel; Carl R Fuhrman; Sara K Golla; Joel L Weissfeld; Ricardo S Avila; Wesly D Turner; Bin Zheng
Journal:  AJR Am J Roentgenol       Date:  2005-10       Impact factor: 3.959

5.  Inherent variability of CT lung nodule measurements in vivo using semiautomated volumetric measurements.

Authors:  Lawrence R Goodman; Meltem Gulsun; Lacey Washington; Paul G Nagy; Kelly L Piacsek
Journal:  AJR Am J Roentgenol       Date:  2006-04       Impact factor: 3.959

6.  Computer-aided lung nodule detection in CT: results of large-scale observer test.

Authors:  Matthew S Brown; Jonathan G Goldin; Sarah Rogers; Hyun J Kim; Robert D Suh; Michael F McNitt-Gray; Sumit K Shah; Dao Truong; Kathleen Brown; James W Sayre; David W Gjertson; Poonam Batra; Denise R Aberle
Journal:  Acad Radiol       Date:  2005-06       Impact factor: 3.173

7.  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

8.  Pulmonary nodules detected at lung cancer screening: interobserver variability of semiautomated volume measurements.

Authors:  Hester A Gietema; Ying Wang; Dongming Xu; Rob J van Klaveren; Harry de Koning; Ernst Scholten; Johny Verschakelen; Gerhard Kohl; Matthijs Oudkerk; Mathias Prokop
Journal:  Radiology       Date:  2006-08-14       Impact factor: 11.105

9.  Screening mammograms by community radiologists: variability in false-positive rates.

Authors:  Joann G Elmore; Diana L Miglioretti; Lisa M Reisch; Mary B Barton; William Kreuter; Cindy L Christiansen; Suzanne W Fletcher
Journal:  J Natl Cancer Inst       Date:  2002-09-18       Impact factor: 13.506

10.  Physician predictors of mammographic accuracy.

Authors:  Rebecca Smith-Bindman; Philip Chu; Diana L Miglioretti; Chris Quale; Robert D Rosenberg; Gary Cutter; Berta Geller; Peter Bacchetti; Edward A Sickles; Karla Kerlikowske
Journal:  J Natl Cancer Inst       Date:  2005-03-02       Impact factor: 13.506

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  27 in total

1.  Short- and long-term lung cancer risk associated with noncalcified nodules observed on low-dose CT.

Authors:  Paul F Pinsky; P Hrudaya Nath; David S Gierada; Sushil Sonavane; Eva Szabo
Journal:  Cancer Prev Res (Phila)       Date:  2014-04-22

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.  Controlled settings for lung cancer screening: why do they matter? Considerations for referring clinicians.

Authors:  A Bharmal; A Crosskill; S Lam; H Bryant
Journal:  Curr Oncol       Date:  2016-12-21       Impact factor: 3.677

4.  Multidisciplinary quality improvement initiative to standardize reporting of lung cancer screening.

Authors:  Laura Cubillos; Alison T Brenner; Katherine Birchard; Louise M Henderson; Paul L Molina; Michael Pignone; Shana Ratner; M Patricia Rivera; Laura Jones; Daniel S Reuland
Journal:  Transl Lung Cancer Res       Date:  2018-09

Review 5.  Quality assurance and quantitative imaging biomarkers in low-dose CT lung cancer screening.

Authors:  Chara E Rydzak; Samuel G Armato; Ricardo S Avila; James L Mulshine; David F Yankelevitz; David S Gierada
Journal:  Br J Radiol       Date:  2017-10-27       Impact factor: 3.039

6.  An official American Thoracic Society/American College of Chest Physicians policy statement: implementation of low-dose computed tomography lung cancer screening programs in clinical practice.

Authors:  Renda Soylemez Wiener; Michael K Gould; Douglas A Arenberg; David H Au; Kathleen Fennig; Carla R Lamb; Peter J Mazzone; David E Midthun; Maryann Napoli; David E Ost; Charles A Powell; M Patricia Rivera; Christopher G Slatore; Nichole T Tanner; Anil Vachani; Juan P Wisnivesky; Sue H Yoon
Journal:  Am J Respir Crit Care Med       Date:  2015-10-01       Impact factor: 21.405

Review 7.  Low-Dose CT Screening for Lung Cancer: Evidence from 2 Decades of Study.

Authors:  David S Gierada; William C Black; Caroline Chiles; Paul F Pinsky; David F Yankelevitz
Journal:  Radiol Imaging Cancer       Date:  2020-03-27

8.  Monitoring Lung Cancer Screening Use and Outcomes at Four Cancer Research Network Sites.

Authors:  Michael K Gould; Lori C Sakoda; Debra P Ritzwoller; Michael J Simoff; Christine M Neslund-Dudas; Lawrence H Kushi; Lisa Carter-Harris; Heather Spencer Feigelson; George Minowada; V Paul Doria-Rose
Journal:  Ann Am Thorac Soc       Date:  2017-12

9.  Assessing the benefits and harms of low-dose computed tomography screening for lung cancer.

Authors:  Paul F Pinsky
Journal:  Lung Cancer Manag       Date:  2014

Review 10.  Lung Cancer Screening, Version 3.2018, NCCN Clinical Practice Guidelines in Oncology.

Authors:  Douglas E Wood; Ella A Kazerooni; Scott L Baum; George A Eapen; David S Ettinger; Lifang Hou; David M Jackman; Donald Klippenstein; Rohit Kumar; Rudy P Lackner; Lorriana E Leard; Inga T Lennes; Ann N C Leung; Samir S Makani; Pierre P Massion; Peter Mazzone; Robert E Merritt; Bryan F Meyers; David E Midthun; Sudhakar Pipavath; Christie Pratt; Chakravarthy Reddy; Mary E Reid; Arnold J Rotter; Peter B Sachs; Matthew B Schabath; Mark L Schiebler; Betty C Tong; William D Travis; Benjamin Wei; Stephen C Yang; Kristina M Gregory; Miranda Hughes
Journal:  J Natl Compr Canc Netw       Date:  2018-04       Impact factor: 11.908

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