論文

査読有り 国際誌
2020年4月15日

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

Academic radiology
  • Soichiro Miki
  • ,
  • Yukihiro Nomura
  • ,
  • Naoto Hayashi
  • ,
  • Shouhei Hanaoka
  • ,
  • Eriko Maeda
  • ,
  • Takeharu Yoshikawa
  • ,
  • Yoshitaka Masutani
  • ,
  • Osamu Abe

28
5
開始ページ
647
終了ページ
654
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1016/j.acra.2020.03.015

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.

リンク情報
DOI
https://doi.org/10.1016/j.acra.2020.03.015
PubMed
https://www.ncbi.nlm.nih.gov/pubmed/32305166
ID情報
  • DOI : 10.1016/j.acra.2020.03.015
  • PubMed ID : 32305166

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