医師のマンモグラム読影自習における乳がん検出とCADシステムの検出結果との比較

• 畑中 裕司

  岐阜大学工学部応用情報学科

• 松原 友子

  名古屋文理大学情報文化学部情報文化学科

• 原 武史

  岐阜大学工学部応用情報学科

• 篠原 範充

  岐阜大学工学部応用情報学科

• 福岡 大輔

  国立岐阜工業高等専門学校電気情報工学科

• 藤田 広志

  岐阜大学工学部応用情報学科

• 遠藤 登喜子

  国立名古屋病院放射線科 マンモグラフィ検診精度管理中央委員会教育・研修委員会

書誌事項

タイトル別名

• A Comparison between Physicians' Interpretation and a CAD System's Cancer Detection by Using a Mammogram Database in a Physicians' Self-learning Course

抄録

We have been developing automated detection algorithms for masses and clustered microcalcifications in a mammography computer-aided diagnosis (CAD) system. In this study, we investigated the potential of our CAD system by comparing 579 physicians' interpretation results with that of the CAD system's cancer detection for 100 mammograms (21 malignant and 29 benign cases) employed in a physicians' self-learning course. As a result, our CAD system detected 7 out of 8 malignant lesions whose physicians' averaged sensitivity was less than 60%. Although the average of physicians sensitivities were 76% (about 16 cases), the CAD system's detection rate was 90% (19 cases). Sensitivity was raised up to 97% if the physicians' interpretation and the CAD system's detection result were treated in a matter of logical OR. Thus, it was raised the possibility that even the less-experienced physicians would diagnose with a higher sensitivity by using the computer output as a guide effectively.

収録刊行物

• 日本放射線技術学会雑誌

  日本放射線技術学会雑誌 58 (3), 375-382, 2002

  公益社団法人 日本放射線技術学会

キーワード

• Mammogram
• Automated detection
• Computer-aided diagnosis
• Mass
• Microcalcification

詳細情報

• CRID: 1390282681366788224
• NII論文ID: 110003445408
• NII書誌ID: AN00197784
• DOI: 10.6009/jjrt.kj00001364290
• ISSN: 18814883
• ISSN: 03694305
• ISSN: http://id.crossref.org/issn/03694305
• Web Site: https://www.jstage.jst.go.jp/article/jjrt/58/3/58_KJ00001364290/_pdf
• Web Site: https://search.jamas.or.jp/link/ui/2002210136
• 本文言語コード: ja
• データソース種別:
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  • Crossref
  • CiNii Articles
• 抄録ライセンスフラグ: 使用不可