Diagnostic Accuracy of Angiographic View Image for the Detection of Coronary Artery Stenoses by 64-Detector Row CT A Pilot Study Comparison With Conventional Post-Processing Methods and Axial Images Alone

• Jinzaki Masahiro

  Department of Diagnostic Radiology, Keio University School of Medicine

• Sato Kozo

  Department of Diagnostic Radiology, Keio University School of Medicine

• Tanami Yutaka

  Department of Diagnostic Radiology, Keio University School of Medicine

• Yamada Minoru

  Division of Cardiovascular Imaging Laboratory, Research Park, Keio University School of Medicine

• Anzai Toshihisa

  Division of Cardiology, Department of Medicine, Keio University School of Medicine

• Kawamura Akio

  Division of Cardiology, Department of Medicine, Keio University School of Medicine

• Ueno Koji

  Division of Cardiology, Department of Medicine, Keio University School of Medicine

• Kuribayashi Sachio

  Department of Diagnostic Radiology, Keio University School of Medicine

書誌事項

タイトル別名

• A Pilot Study Comparison With Conventional Post-Processing Methods and Axial Images Alone

抄録

Background: The angiographic view (AGV) image is a new post-processing method that is similar to conventional coronary angiography (CAG). The purpose of this study was to evaluate its accuracy for coronary stenosis detection by 64-detector row computed tomography (CT). Methods and Results: CT evaluation results of 17 patients were compared with the results of invasive CAG on a coronary segment basis concerning the presence of stenoses >50% diameter reduction. All images of the 3 viewing methods (combination of conventional methods, AGV image alone, and axial images alone) were evaluated in consensus by 3 cardiovascular radiologists. Among 196 assessable segments, invasive CAG showed significant coronary artery stenoses in 44 segments. 43 of 44 lesions were detected with the AGV image, and absence of significant stenosis was correctly identified in 135 of 152 segments (sensitivity 98%; specificity 89%; accuracy 91%; positive predictive value 72%, negative predictive value 99%). The sensitivity of the AGV image was the same as that of conventional methods (98%). There was no significant difference in accuracy between the AGV image (91%) and conventional methods (94%). The accuracy of the AGV image was significantly higher than the axial images alone (78%). Conclusions: AGV image shows promise as a post-processing method for identifying coronary artery stenosis with high accuracy. (Circ J 2009; 73: 691 - 698)<br>

収録刊行物

• Circulation Journal

  Circulation Journal 73 (4), 691-698, 2009

  一般社団法人 日本循環器学会

キーワード

• Computed tomography
• Coronary angiography
• Coronary artery disease
• Maximum-intensity projection
• Post-processing

詳細情報

• CRID: 1390282680081808128
• NII論文ID: 10025929383
• NII書誌ID: AA11591968
• DOI: 10.1253/circj.cj-08-0798
• ISSN: 13474820
• ISSN: 13469843
• Web Site: http://www.jstage.jst.go.jp/article/circj/73/4/73_CJ-08-0798/_pdf
• Web Site: https://search.jamas.or.jp/link/ui/2009192899
• 本文言語コード: en
• データソース種別:
  • JaLC
  • Crossref
  • CiNii Articles
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