Literature DB >> 18024436

Lung cancer: interobserver agreement on interpretation of pulmonary findings at low-dose CT screening.

David S Gierada1, Thomas K Pilgram, Melissa Ford, Richard M Fagerstrom, Timothy R Church, Hrudaya Nath, Kavita Garg, Diane C Strollo.   

Abstract

PURPOSE: To evaluate agreement among radiologists on the interpretation of pulmonary findings at low-dose computed tomographic (CT) screening examinations for lung cancer.
MATERIALS AND METHODS: Institutional review board approval and informed consent were obtained. HIPAA guidelines were followed. Sixteen radiologists from the 10 National Lung Screening Trial screening centers of the National Cancer Institute's Lung Screening Study network reviewed image subsets from 135 baseline low-dose screening CT examinations in 135 trial participants (89 men, 46 women; mean age, 62.7 years +/- 5.4 [standard deviation]). Interpretations were classified into one of four of the following categories: noncalcified nodule 4 mm or larger in greatest transverse dimension (positive screening result); noncalcified nodule smaller than 4 mm in greatest transverse dimension (negative screening result); calcified, benign nodule (negative screening result); or no nodule (negative screening result). A recommendation for follow-up evaluation was obtained for each case. Interobserver agreement was evaluated by using the multirater kappa statistic and by using response frequencies and descriptive statistics.
RESULTS: Multirater kappa values ranged from 0.58 (for agreement among all four classifications; 95% confidence interval: 0.55, 0.61) to 0.64 (for agreement on classification as a positive or negative screening result; 95% confidence interval: 0.62, 0.65). The average percentage of reader pairs in agreement on the screening result per case (percentage agreement) was 82%. There was wide variation in the total number of abnormalities detected and classified as pulmonary nodules, with differences of up to more than twofold among radiologists. For cases classified as positive, multirater kappa for follow-up recommendations was 0.35.
CONCLUSION: Interobserver agreement was moderate to substantial; potential for considerable improvement exists. Clinical trial registration no. NCT00047385. RSNA, 2007

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Year:  2007        PMID: 18024436     DOI: 10.1148/radiol.2461062097

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


  38 in total

1.  Analysis of the impact of digital tomosynthesis on the radiological investigation of patients with suspected pulmonary lesions on chest radiography.

Authors:  Emilio Quaia; Elisa Baratella; Stefano Cernic; Arianna Lorusso; Federica Casagrande; Vincenzo Cioffi; Maria Assunta Cova
Journal:  Eur Radiol       Date:  2012-04-27       Impact factor: 5.315

Review 2.  Screening for lung cancer with low-dose computed tomography: a review of current status.

Authors:  Henry M Marshall; Rayleen V Bowman; Ian A Yang; Kwun M Fong; Christine D Berg
Journal:  J Thorac Dis       Date:  2013-10       Impact factor: 2.895

3.  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

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

Authors:  Paul F Pinsky; David S Gierada; P Hrudaya Nath; Ella Kazerooni; Judith Amorosa
Journal:  Radiology       Date:  2013-04-16       Impact factor: 11.105

5.  Reader variability in identifying pulmonary nodules on chest radiographs from the national lung screening trial.

Authors:  Satinder P Singh; David S Gierada; Paul Pinsky; Colleen Sanders; Naomi Fineberg; Yanhui Sun; David Lynch; Hrudaya Nath
Journal:  J Thorac Imaging       Date:  2012-07       Impact factor: 3.000

6.  A study of computer-aided diagnosis for pulmonary nodule: comparison between classification accuracies using calculated image features and imaging findings annotated by radiologists.

Authors:  Masami Kawagishi; Bin Chen; Daisuke Furukawa; Hiroyuki Sekiguchi; Koji Sakai; Takeshi Kubo; Masahiro Yakami; Koji Fujimoto; Ryo Sakamoto; Yutaka Emoto; Gakuto Aoyama; Yoshio Iizuka; Keita Nakagomi; Hiroyuki Yamamoto; Kaori Togashi
Journal:  Int J Comput Assist Radiol Surg       Date:  2017-03-11       Impact factor: 2.924

Review 7.  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

8.  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

9.  Use of Standardized Uptake Value Ratios Decreases Interreader Variability of [18F] Florbetapir PET Brain Scan Interpretation.

Authors:  A P Nayate; J G Dubroff; J E Schmitt; I Nasrallah; R Kishore; D Mankoff; D A Pryma
Journal:  AJNR Am J Neuroradiol       Date:  2015-03-12       Impact factor: 3.825

Review 10.  Lung cancer screening update.

Authors:  Massimo Bellomi; Cristiano Rampinelli; Elvio De Fiori; Lorenzo Preda; Giulia Veronesi
Journal:  Cancer Imaging       Date:  2009-10-02       Impact factor: 3.909

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