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Variability in interpretation of low-dose chest CT using computerized assessment in a nationwide lung cancer screening program: comparison of prospective reading at individual institutions and retrospective central reading
- Source :
- European Radiology. 31:2845-2855
- Publication Year :
- 2020
- Publisher :
- Springer Science and Business Media LLC, 2020.
-
Abstract
- To evaluate the degree of variability in computer-assisted interpretation of low-dose chest CTs (LDCTs) among radiologists in a nationwide lung cancer screening (LCS) program, through comparison with a retrospective interpretation from a central laboratory. Consecutive baseline LDCTs (n = 3353) from a nationwide LCS program were investigated. In the institutional reading, 20 radiologists in 14 institutions interpreted LDCTs using computer-aided detection and semi-automated segmentation systems for lung nodules. In the retrospective central review, a single radiologist re-interpreted all LDCTs using the same system, recording any non-calcified nodules ≥ 3 mm without arbitrary rejection of semi-automated segmentation to minimize the intervention of radiologist’s discretion. Positive results (requiring additional follow-up LDCTs or diagnostic procedures) were initially classified by the lung CT screening reporting and data system (Lung-RADS) during the interpretation, while the classifications based on the volumetric criteria from the Dutch-Belgian lung cancer screening trial (NELSON) were retrospectively applied. Variabilities in positive rates were assessed with coefficients of variation (CVs). In the institutional reading, positive rates by the Lung-RADS ranged from 7.5 to 43.3%, and those by the NELSON ranged from 11.4 to 45.0% across radiologists. The central review exhibited higher positive rates by Lung-RADS (20.0% vs. 27.3%; p
- Subjects :
- medicine.medical_specialty
medicine.diagnostic_test
business.industry
Low dose
Chest ct
Interventional radiology
General Medicine
030218 nuclear medicine & medical imaging
Central laboratory
03 medical and health sciences
0302 clinical medicine
Tomography x ray computed
030220 oncology & carcinogenesis
medicine
Computerized system
Radiology, Nuclear Medicine and imaging
Radiology
business
Lung cancer screening
Neuroradiology
Subjects
Details
- ISSN :
- 14321084 and 09387994
- Volume :
- 31
- Database :
- OpenAIRE
- Journal :
- European Radiology
- Accession number :
- edsair.doi...........23535403384fb6f6f4185da029324ce8