Please use this identifier to cite or link to this item: https://ahro.austin.org.au/austinjspui/handle/1/16473
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dc.contributor.authorLim, Jeremy C-
dc.contributor.authorRanatunga, Dinesh-
dc.contributor.authorOwen, Andrew R-
dc.contributor.authorSpelman, Timothy D-
dc.contributor.authorGalea, Michael-
dc.contributor.authorChuen, Jason-
dc.contributor.authorLim, Ruth P-
dc.date2016-10-07-
dc.date.accessioned2017-01-02T23:16:12Z-
dc.date.available2017-01-02T23:16:12Z-
dc.date.issued2016-10-07-
dc.identifier.citationJournal of Computer Assisted Tomography 2016; online first: 7 Octoberen_US
dc.identifier.urihttp://ahro.austin.org.au/austinjspui/handle/1/16473-
dc.description.abstractThe aim of this study was to evaluate image quality and accuracy of 64+ detector multidetector computed tomography angiography (MDCTA) for hemodynamically significant (≥50%) stenosis in patients with symptomatic peripheral arterial disease (PAD) using digital subtraction angiography as the reference standard. METHODS: This is a retrospective study of 29 patients with PAD (19 men, 10 women) who underwent lower limb MDCTA (64- or 80-detector) and digital subtraction angiography. Image quality and accuracy of MDCTA for hemodynamically significant stenosis were assessed in the infrarenal aorta and 15 lower extremity segments. RESULTS: Four hundred fifty-three segments were adequately visualized at both modalities. Multidetector CTA had 84.8% sensitivity, 87.7% specificity, and 86.3% accuracy for significant stenosis. Accuracy was decreased in the calf when compromising arterial wall calcifications were present versus absent (55.9% vs 82.4%, P < 0.0001). CONCLUSIONS: 64+ MDCTA is accurate in patients with symptomatic PAD. However, diagnostic accuracy in below-knee vessels remains relatively poorer. Alternative imaging modalities should be considered where below-knee disease is suspected.en_US
dc.titleMultidetector (64+) computed tomography angiography of the lower limb in symptomatic peripheral arterial disease: assessment of image quality and accuracy in a tertiary care settingen_US
dc.typeJournal Articleen_US
dc.identifier.journaltitleJournal of Computer Assisted Tomographyen_US
dc.identifier.affiliationAustin Health, Heidelberg, Victoria, Australiaen_US
dc.identifier.affiliationCentre for Population Health, Burnet Institute, Melbourne, Victoria, Australiaen_US
dc.identifier.affiliationDepartment of Surgery, The University of Melbourne, Melbourne, Victoria, Australiaen_US
dc.identifier.affiliationDepartment of Radiology, The University of Melbourne, Melbourne, Victoria, Australiaen_US
dc.identifier.pubmedurihttps://pubmed.ncbi.nlm.nih.gov/27753721en_US
dc.identifier.doi10.1097/RCT.0000000000000494en_US
dc.type.contentTexten_US
dc.type.austinJournal Articleen_US
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
item.fulltextNo Fulltext-
item.grantfulltextnone-
item.openairetypeJournal Article-
crisitem.author.deptRadiology-
crisitem.author.deptVascular Surgery-
crisitem.author.dept3D Medical Printing Laboratory-
crisitem.author.deptRadiology-
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