r37980778c78--e3c2a61e6d260648fd40c2ec18f42de3

Peripheral arterial disease (PAD) is an important manifestation of systemic atherosclerosis, with diabetes being one of its most significant risk factors. Owing to medial arterial calcification (MAC), the ankle–brachial index (ABI) is not always a reliable tool for detecting PAD. Arterial Doppler flow parameters, such as systolic maximal acceleration (ACCmax) and relative pulse slope index (RPSI), may serve as effective surrogates to detect stenosis-induced flow alteration. In the present study, ACCmax and RPSI were prospectively evaluated in 166 patients (304 arteries) with clinical suspicion of PAD, including 76 patients with and 90 patients without diabetes. In the overall sample, the sensitivity of ACCmax (69%) was superior to that of ABI (58%) and RPSI (56%). In patients with diabetes, the sensitivity of ACCmax (57%), ABI (56%) and RPSI (57%) were similar, though a parallel test taking both ACCmax and RPSI into account further increased sensitivity to 68%. The specificity (98%) and accuracy (78%) of ACCmax were superior to those of ABI (83% and 70%, respectively), as were the specificity (95%) and accuracy (77%) of RPSI in patients with diabetes. The diagnostic properties of ACCmax and RPSI were superior to those of ABI for detecting PAD in patients with diabetes. Our acceleration algorithm (Gefäßtachometer®) provides a rapid, safe, noninvasive tool for identifying PAD in patients with diabetes.

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PID https://www.doi.org/10.1371/journal.pone.0199374
URL http://dx.doi.org/10.1371/journal.pone.0199374
URL https://figshare.com/articles/A_novel_computer-aided_diagnostic_approach_for_detecting_peripheral_arterial_disease_in_patients_with_diabetes/6636482
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Collected From figshare
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Publication Date 2018-06-21
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Language UNKNOWN
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Source https://science-innovation-policy.openaire.eu/search/dataset?datasetId=r37980778c78::e3c2a61e6d260648fd40c2ec18f42de3
Author jsonws_user
Last Updated 11 January 2021, 00:27 (CET)
Created 11 January 2021, 00:27 (CET)