Prospective Study of Spatial Distribution of Missed Lung Nodules by Readers in CT Lung Screening Using Computer-assisted Detection.


Journal

Academic radiology
ISSN: 1878-4046
Titre abrégé: Acad Radiol
Pays: United States
ID NLM: 9440159

Informations de publication

Date de publication:
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

647-654

Informations de copyright

Copyright © 2020 The Association of University Radiologists. Published by Elsevier Inc. All rights reserved.

Auteurs

Soichiro Miki (S)

Department of Computational Diagnostic Radiology and Preventive Medicine, The University of Tokyo Hospital, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8655, Japan.

Yukihiro Nomura (Y)

Department of Computational Diagnostic Radiology and Preventive Medicine, The University of Tokyo Hospital, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8655, Japan. Electronic address: nomuray-tky@umin.ac.jp.

Naoto Hayashi (N)

Department of Computational Diagnostic Radiology and Preventive Medicine, The University of Tokyo Hospital, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8655, Japan.

Shouhei Hanaoka (S)

Department of Radiology, The University of Tokyo Hospital, Tokyo, Japan.

Eriko Maeda (E)

Department of Computational Diagnostic Radiology and Preventive Medicine, The University of Tokyo Hospital, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8655, Japan.

Takeharu Yoshikawa (T)

Department of Computational Diagnostic Radiology and Preventive Medicine, The University of Tokyo Hospital, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8655, Japan.

Yoshitaka Masutani (Y)

Graduate School of Information Sciences, Hiroshima City University, Hiroshima, Japan.

Osamu Abe (O)

Department of Radiology, The University of Tokyo Hospital, Tokyo, Japan.

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