Prospective Study of Spatial Distribution of Missed Lung Nodules by Readers in CT Lung Screening Using Computer-assisted Detection.
Adult
Diagnosis, Computer-Assisted
Humans
Lung
/ diagnostic imaging
Lung Neoplasms
/ diagnostic imaging
Observer Variation
Prospective Studies
Radiographic Image Interpretation, Computer-Assisted
Reproducibility of Results
Sensitivity and Specificity
Solitary Pulmonary Nodule
/ diagnostic imaging
Tomography, X-Ray Computed
Computer-assisted detection
Lung cancer screening
Lung nodule
Journal
Academic radiology
ISSN: 1878-4046
Titre abrégé: Acad Radiol
Pays: United States
ID NLM: 9440159
Informations de publication
Date de publication:
05 2021
05 2021
Historique:
received:
13
11
2019
revised:
21
02
2020
accepted:
09
03
2020
pubmed:
20
4
2020
medline:
20
5
2021
entrez:
20
4
2020
Statut:
ppublish
Résumé
To evaluate the spatial patterns of missed lung nodules in a real-life routine screening environment. In a screening institute, 4,822 consecutive adults underwent chest CT, and each image set was independently interpreted by two radiologists in three steps: (1) independently interpreted without computer-assisted detection (CAD) software, (2) independently referred to the CAD results, (3) determined by the consensus of the two radiologists. The locations of nodules and the detection performance data were semi-automatically collected using a CAD server integrated into the reporting system. Fisher's exact test was employed for evaluating findings in different lung divisions. Probability maps were drawn to illustrate the spatial distribution of radiologists' missed nodules. Radiologists significantly tended to miss lung nodules in the bilateral hilar divisions (p < 0.01). Some radiologists had their own spatial pattern of missed lung nodules. Radiologists tend to miss lung nodules present in the hilar regions significantly more often than in the rest of the lung.
Identifiants
pubmed: 32305166
pii: S1076-6332(20)30156-2
doi: 10.1016/j.acra.2020.03.015
pii:
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
647-654Informations de copyright
Copyright © 2020 The Association of University Radiologists. Published by Elsevier Inc. All rights reserved.