The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
Performance of Lung-RADS in the National Lung Screening Trial: A Retrospective Assessment
Open accessAbstract
BACKGROUND: Lung cancer screening with low-dose computed tomography (LDCT) has been recommended, based primarily on the results of the NLST (National Lung Screening Trial). The American College of Radiology recently released Lung-RADS, a classification system for LDCT lung cancer screening. OBJECTIVE: To retrospectively apply the Lung-RADS criteria to the NLST. DESIGN: Secondary analysis of a group from a randomized trial. SETTING: 33 U.S. screening centers. PATIENTS: Participants were randomly assigned to the LDCT group of the NLST, were aged 55 to 74 years, had at least a 30-pack-year history of smoking, and were current smokers or had quit within the past 15 years. INTERVENTION: 3 annual LDCT lung cancer screenings. MEASUREMENTS: Lung-RADS classifications for LDCT screenings. Lung-RADS categories 1 to 2 constitute negative screening results, and categories 3 to 4 constitute positive results. RESULTS: Of 26 722 LDCT group participants, 26 455 received a baseline screening; 48 671 screenings were done after baseline. At baseline, the false-positive result rate (1 minus the specificity rate) for Lung-RADS was 12.8% (95% CI, 12.4% to 13.2%) versus 26.6% (CI, 26.1% to 27.1%) for the NLST; after baseline, the false-positive result rate was 5.3% (CI, 5.1% to 5.5%) for Lung-RADS versus 21.8% (CI, 21.4% to 22.2%) for the NLST. Baseline sensitivity was 84.9% (CI, 80.8% to 89.0%) for Lung-RADS versus 93.5% (CI, 90.7% to 96.3%) for the NLST, and sensitivity after baseline was 78.6% (CI, 74.6% to 82.6%) for Lung-RADS versus 93.8% (CI, 91.4% to 96.1%) for the NLST. LIMITATION: Lung-RADS criteria were applied retrospectively. CONCLUSION: Lung-RADS may substantially reduce the false-positive result rate; however, sensitivity is also decreased. The effect of using Lung-RADS criteria in clinical practice must be carefully studied. PRIMARY FUNDING SOURCE: National Institutes of Health.
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Cites
Reduced Lung-Cancer Mortality with Low-Dose Computed Tomographic Screening
The National Lung Screening Trial Research Team (2011) · New England Journal of Medicine · doi:10.1056/nejmoa1102873 · Cited by 11,064
Screening for Lung Cancer: U.S. Preventive Services Task Force Recommendation Statement
Moyer, V. A., & on behalf of the U.S. Preventive Services Task Force* (2014) · Annals of Internal Medicine · doi:10.7326/m13-2771 · Cited by 2,632
MacMahon, H., Austin, J. H. M., Gamsu, G., Herold, C. J., Jett, J. R., Naidich, D. P., Patz, E. F., & Swensen, S. J. (2005) · Radiology · doi:10.1148/radiol.2372041887 · Cited by 1,574
The National Lung Screening Trial: Overview and Study Design
National Lung Screening Trial Research Team (2011) · Radiology · doi:10.1148/radiol.10091808 · Cited by 1,274
Results of Initial Low-Dose Computed Tomographic Screening for Lung Cancer
The National Lung Screening Trial Research Team (2013) · New England Journal of Medicine · doi:10.1056/nejmoa1209120 · Cited by 1,088
Naidich, D. P., Bankier, A. A., MacMahon, H., Schaefer-Prokop, C. M., Pistolesi, M., Goo, J. M., Macchiarini, P., Crapo, J. D., Herold, C. J., Austin, J. H., et al. (2013) · Radiology · doi:10.1148/radiol.12120628 · Cited by 1,000
Results of the Two Incidence Screenings in the National Lung Screening Trial
Aberle, D. R., DeMello, S., Berg, C. D., Black, W. C., Brewer, B., Church, T. R., Clingan, K. L., Duan, F., Fagerstrom, R. M., Gareen, I. F., et al. (2013) · New England Journal of Medicine · doi:10.1056/nejmoa1208962 · Cited by 550
Self-citationVolumetric computed tomography screening for lung cancer: three rounds of the NELSON trial
Horeweg, N., van der Aalst, C. M., Vliegenthart, R., Zhao, Y., Xie, X., Scholten, E. T., Mali, W., Thunnissen, E., Weenink, C., Groen, H. J. M., et al. (2013) · European Respiratory Journal · doi:10.1183/09031936.00197712 · Cited by 237
Definition of a Positive Test Result in Computed Tomography Screening for Lung Cancer
Henschke, C. I., Yip, R., Yankelevitz, D. F., Smith, J. P., & for the International Early Lung Cancer Action Program Investigators* (2013) · Annals of Internal Medicine · doi:10.7326/0003-4819-158-4-201302190-00004 · Cited by 202
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Cited by
Ardila, D., Kiraly, A. P., Bharadwaj, S., Choi, B., Reicher, J. J., Peng, L., Tse, D., Etemadi, M., Ye, W., Corrado, G., et al. (2019) · Nature Medicine · doi:10.1038/s41591-019-0447-x · Cited by 2,167
Screening for Lung Cancer: US Preventive Services Task Force Recommendation Statement
US Preventive Services Task Force, Krist, A. H., Davidson, K. W., Mangione, C. M., Barry, M. J., Cabana, M., Caughey, A. B., Davis, E. M., Donahue, K. E., Doubeni, C. A., et al. (2021) · JAMA · doi:10.1001/jama.2021.1117 · Cited by 1,816
Travis, W. D., Asamura, H., Bankier, A. A., Beasley, M. B., Detterbeck, F., Flieder, D. B., Goo, J. M., MacMahon, H., Naidich, D., Nicholson, A. G., et al. (2016) · Journal of Thoracic Oncology · doi:10.1016/j.jtho.2016.03.025 · Cited by 722
European position statement on lung cancer screening
Oudkerk, M., Devaraj, A., Vliegenthart, R., Henzler, T., Prosch, H., Heussel, C. P., Bastarrika, G., Sverzellati, N., Mascalchi, M., Delorme, S., et al. (2017) · The Lancet Oncology · doi:10.1016/s1470-2045(17)30861-6 · Cited by 587
Large-scale pancreatic cancer detection via non-contrast CT and deep learning
Cao, K., Xia, Y., Yao, J., Han, X., Lambert, L., Zhang, T., Tang, W., Jin, G., Jiang, H., Fang, X., et al. (2023) · Nature Medicine · doi:10.1038/s41591-023-02640-w · Cited by 358
Metadata
- Authors
- Pinsky, P. F., Gierada, D. S., Black, W., Munden, R., Nath, H., Aberle, D., & Kazerooni, E.
- Venue
- Annals of Internal Medicine
- Publisher
- American College of Physicians
- Published
- 2015-04-07
- Volume
- 162
- Issue
- 7
- Pages
- 485-491
- ISSN
- 0003-4819 (ISSN-L)
- 1539-3704
- OpenAlex
- W2046189285
- Cited by
- 508
- References
- 11
- FWCI
- 30.92
- Type
- journal article
- Language
- en
- Open access
- green
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