Computer-aided CT coronary artery stenosis detection: comparison with human reading and quantitative coronary angiography.
To evaluate computer-aided stenosis detection for computed tomography coronary angiography (CTA) in comparison with human reading and conventional coronary angiography (CCA) as the reference standard. 50 patients underwent CTA and CCA and out of these 44 were evaluable for computer-aided stenosis de...
| Publicado en: | International Journal of Cardiovascular Imaging Vol. 30; no. 8; pp. 1621 - 1628 |
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| Autores principales: | , , , , , |
| Formato: | research Journal Article |
| Publicado: |
Springer Nature
Dec2014
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=109764339&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 109764339 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 15695794 1HHY jtl: International Journal of Cardiovascular Imaging issn: 15695794 maglogo: N pubinfo: dt: Dec2014 vid: 30 iid: 8 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 109764339 NLM25117643 2012798782 10.1007/s10554-014-0513-x NLM25117643 109764339 ppf: 1621 ppct: 7 formats: tig: atl: Computer-aided CT coronary artery stenosis detection: comparison with human reading and quantitative coronary angiography. aug: au: Rief, Matthias Kranz, Anisha Hartmann, Lisa Roehle, Robert Laule, Michael Dewey, Marc sug: subj: Coronary Angiography Methods Coronary Arteriosclerosis Radiography Coronary Stenosis Radiography Coronary Vessels Radiography Multidetector Computed Tomography Radiographic Image Interpretation, Computer-Assisted Aged Female Human Male Middle Age Observer Bias Predictive Value of Tests Reproducibility of Results Retrospective Design Severity of Illness Indices Software Aged: 65+ years Middle Aged: 45-64 years Female Male ab: To evaluate computer-aided stenosis detection for computed tomography coronary angiography (CTA) in comparison with human reading and conventional coronary angiography (CCA) as the reference standard. 50 patients underwent CTA and CCA and out of these 44 were evaluable for computer-aided stenosis detection. The diagnostic performance of the software and of human reading were compared and quantitative coronary angiography (QCA) served as the reference standard for the detection of significant stenosis (>50 %). Overall, three readers with high (reader 1), intermediate (reader 2) and low (reader 3) experience in cardiac CT imaging performed the manual CTA evaluation on a commercially available workstation, whereas the automated software processed the datasets without any human interaction. The prevalence of coronary artery disease was 41 % (18/44) and QCA indicated significant stenosis (>50 %) in 33 coronary vessels. The automated software accurately diagnosed 18 individuals with significant coronary artery disease (CAD), and correctly ruled out CAD in 10 patients. In summary the sensitivity of computer-aided detection was 100 %/94 % (per-patient/per-vessel) and the specificity was 38 %/70 %, the positive predictive value (PPV) was 53 %/42 % and the negative predictive value (NPV) was 100 %/98 %. In comparison, reader 1-3 showed per-patient sensitivities of 100/94/89 %, specificities of 73/69/50 %, PPVs of 72/68/55 % and NPVs of 100/95/87 %. Computer-aided detection yields a high NPV that is comparable to more experienced human readers. However, PPV is rather low and in the range of an unexperienced reader. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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