Graph-matching-based computed tomography angiography in peripheral arterial occlusive disease |
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| Authors: | Carolin Brockmann Susanne Jochum Jürgen Hesser Dzmitry Maksimov Andreas Schnitzer Christel Weiss Patricius Diezler Stefan O. Schoenberg Steffen Diehl |
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| Affiliation: | 1. Medical Faculty Mannheim, Department of Clinical Radiology and Nuclear Medicine, University Hospital Mannheim, University of Heidelberg, Germany;2. Medical Faculty Mannheim, Department of Radiation Oncology, University Hospital Mannheim, University of Heidelberg, Mannheim, Germany;3. Medical Faculty Mannheim, Institute of Medical Statistics, University Hospital Mannheim, University of Heidelberg, Germany |
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| Abstract: | The objective of this study is to compare a graph-matching-based software and a conventional tool for postprocessing of computed tomography angiography (CTA) in correlation with the gold standard digital subtraction angiography. Sensitivity, specificity, accuracy, and interobserver agreement increased from 80.3% to 92.9%, from 69.1% to 92.4%, from 73.5% to 92.8%, and from 0.45 to 0.96, respectively, using the graph-matching-based technique. Graph-matching-based CTA increases sensitivity, specificity, accuracy, and interobserver agreement in comparison to a conventional bone elimination tool in the assessment of peripheral arterial occlusive disease. |
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