By a News Reporter-Staff News Editor at Heart Disease Weekly -- Fresh data on Heart Diseases and Conditions are presented in a new report. According to news reporting from Seoul, South Korea, by NewsRx journalists, research stated, "The purpose of this study was to evaluate the performance of an automated computer-assisted detection (CAD) algorithm to detect coronary artery stenosis on coronary CT angiography (CTA). We investigated 128 consecutive patients (76 men, 52 women; mean [SD] age, 64 +/- 11 years) who had acute chest pain and underwent 128-slice dual-source coronary CTA and invasive coronary angiography at an emergency department."
The news correspondents obtained a quote from the research from Sungkyunkwan University, "All coronary CTA data were analyzed using customized software for the detection of coronary artery stenosis without human interaction. The diagnostic performance of a CAD algorithm for evaluation of stenosis of at least 50% of vessel diameter was compared with that of human interpretation of coronary CTA, with invasive coronary angiography as a reference standard. Of the 128 patients, 25 patients were excluded because of failure of data processing (n = 9) or history of stent insertion or coronary artery bypass graft (n = 16). Invasive coronary angiography revealed significant stenosis in 62% (64/103) of the remaining patients. In detecting significant stenosis, the CAD algorithm yielded 100% sensitivity, 23.1% specificity, 68.1% positive predictive value (PPV), and 100% negative predictive value (NPV) in per-patient analysis. On per-vessel analysis, the CAD algorithm yielded 90.0% sensitivity, 62.4% specificity, 40.1% PPV, and 95.7% NPV. Human interpretation of coronary CTA yielded 98.4% and 96.7% sensitivities, 79.5% and 95.0% specificities, 88.7% and 84.5% PPVs, and 96.9% and 99.0% NPVs for diagnosing significant stenosis on per-patient and per-vessel analyses, respectively. The CAD algorithm yields a high NPV in detecting stenosis of at least 50% on coronary CTA."
According to the news reporters, the research concluded: "As a second 'reader,' the CAD algorithm may help to exclude significant coronary stenosis in patients with acute chest pain at an emergency department."
For more information on this research see: Diagnostic Performance of Algorithm for Computer-Assisted Detection of Significant Coronary Artery Disease in Patients With Acute Chest Pain: Comparison With Invasive Coronary Angiography. American Journal of Roentgenology, 2014;202(4):730-737. American Journal of Roentgenology can be contacted at: Amer Roentgen Ray Soc, 1891 Preston White Dr, Subscription Fulfillment, Reston, VA 22091, USA (see also Heart Diseases and Conditions).
Our news journalists report that additional information may be obtained by contacting J.H. Min, Sungkyunkwan UniversitySch Med, Div Cardiol, Samsung Med CenterDept Med, Seoul 135710, South Korea. Additional authors for this research include S.M. Kim, S. Lee, J.H. Choi, S.A. Chang and Y.H. Choe.
Keywords for this news article include: Asia, Seoul, Stenosis, Angiology, Computers, Algorithms, Cardiology, South Korea, Angiography, Coronary Artery, Arteriosclerosis, Myocardial Ischemia, Cardiovascular Diseases, Arterial Occlusive Diseases, Heart Diseases and Conditions
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