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Prospective Study of Spatial Distribution of Missed Lung Nodules by Readers in CT Lung Screening Using Computer-assisted Detection.
Miki, Soichiro; Nomura, Yukihiro; Hayashi, Naoto; Hanaoka, Shouhei; Maeda, Eriko; Yoshikawa, Takeharu; Masutani, Yoshitaka; Abe, Osamu.
Affiliation
  • 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.
  • 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.
  • 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.
  • Hanaoka S; Department of Radiology, The University of Tokyo Hospital, Tokyo, Japan.
  • 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.
  • 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.
  • Masutani Y; Graduate School of Information Sciences, Hiroshima City University, Hiroshima, Japan.
  • Abe O; Department of Radiology, The University of Tokyo Hospital, Tokyo, Japan.
Acad Radiol ; 28(5): 647-654, 2021 05.
Article in En | MEDLINE | ID: mdl-32305166
ABSTRACT

PURPOSE:

To evaluate the spatial patterns of missed lung nodules in a real-life routine screening environment. MATERIALS AND

METHODS:

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.

RESULTS:

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.

CONCLUSION:

Radiologists tend to miss lung nodules present in the hilar regions significantly more often than in the rest of the lung.
Subject(s)
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Solitary Pulmonary Nodule / Lung Neoplasms Type of study: Diagnostic_studies / Observational_studies / Screening_studies Limits: Adult / Humans Language: En Journal: Acad Radiol Journal subject: RADIOLOGIA Year: 2021 Document type: Article Affiliation country: Japan

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Solitary Pulmonary Nodule / Lung Neoplasms Type of study: Diagnostic_studies / Observational_studies / Screening_studies Limits: Adult / Humans Language: En Journal: Acad Radiol Journal subject: RADIOLOGIA Year: 2021 Document type: Article Affiliation country: Japan