Please use this identifier to cite or link to this item:
https://ahro.austin.org.au/austinjspui/handle/1/16473
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lim, Jeremy C | - |
dc.contributor.author | Ranatunga, Dinesh | - |
dc.contributor.author | Owen, Andrew R | - |
dc.contributor.author | Spelman, Timothy D | - |
dc.contributor.author | Galea, Michael | - |
dc.contributor.author | Chuen, Jason | - |
dc.contributor.author | Lim, Ruth P | - |
dc.date | 2016-10-07 | - |
dc.date.accessioned | 2017-01-02T23:16:12Z | - |
dc.date.available | 2017-01-02T23:16:12Z | - |
dc.date.issued | 2016-10-07 | - |
dc.identifier.citation | Journal of Computer Assisted Tomography 2016; online first: 7 October | en_US |
dc.identifier.uri | https://ahro.austin.org.au/austinjspui/handle/1/16473 | - |
dc.description.abstract | The 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.title | Multidetector (64+) computed tomography angiography of the lower limb in symptomatic peripheral arterial disease: assessment of image quality and accuracy in a tertiary care setting | en_US |
dc.type | Journal Article | en_US |
dc.identifier.journaltitle | Journal of Computer Assisted Tomography | en_US |
dc.identifier.affiliation | Austin Health, Heidelberg, Victoria, Australia | en_US |
dc.identifier.affiliation | Centre for Population Health, Burnet Institute, Melbourne, Victoria, Australia | en_US |
dc.identifier.affiliation | Department of Surgery, The University of Melbourne, Melbourne, Victoria, Australia | en_US |
dc.identifier.affiliation | Department of Radiology, The University of Melbourne, Melbourne, Victoria, Australia | en_US |
dc.identifier.pubmeduri | https://pubmed.ncbi.nlm.nih.gov/27753721 | en_US |
dc.identifier.doi | 10.1097/RCT.0000000000000494 | en_US |
dc.type.content | Text | en_US |
dc.type.austin | Journal Article | en_US |
local.name.researcher | Chuen, Jason | |
item.openairetype | Journal Article | - |
item.fulltext | No Fulltext | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.cerifentitytype | Publications | - |
item.grantfulltext | none | - |
crisitem.author.dept | Radiology | - |
crisitem.author.dept | Vascular Surgery | - |
crisitem.author.dept | 3D Medical Printing Laboratory | - |
crisitem.author.dept | Radiology | - |
Appears in Collections: | Journal articles |
Items in AHRO are protected by copyright, with all rights reserved, unless otherwise indicated.