Document Detail


Automated tracing of the adventitial contour of aortoiliac and peripheral arterial walls in CT angiography (CTA) to allow calculation of non-calcified plaque burden.
MedLine Citation:
PMID:  21547519     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Aortoiliac and lower extremity arterial atherosclerotic plaque burden is a risk factor for the development of visceral and peripheral ischemic and aneurismal vascular disease. While prior research allows automated quantification of calcified plaque in these body regions using CT angiograms, no automated method exists to quantify soft plaque. We developed an automatic algorithm that defines the outer wall contour and wall thickness of vessels to quantify non-calcified plaque in CT angiograms of the chest, abdomen, pelvis, and lower extremities. The algorithm encodes the search space as a constrained graph and calculates the outer wall contour by deriving a minimum cost path through the graph, following the visible outer wall contour while minimizing path tortuosity. Our algorithm was statistically equivalent to a reference standard made by two reviewers. Absolute error was 1.9 ± 2.3% compared to the inter-observer variability of 3.9 ± 3.6%. Wall thickness in vessels with atherosclerosis was 3.4 ± 1.6 mm compared to 1.2 ± 0.4 mm in normal vessels. The algorithm shows promise as a tool for quantification of non-calcified plaque in CT angiography. When combined with previous research, our method has the potential to quantify both non-calcified and calcified plaque in all clinically significant systemic arteries, from the thoracic aorta to the arteries of the calf, over a wide range of diameters. This algorithm has the potential to enable risk stratification of patients and facilitate investigations into the relationships between asymptomatic atherosclerosis and a variety of behavioral, physiologic, pathologic, and genotypic conditions.
Authors:
Bhargav Raman; Raghav Raman; Geoffrey D Rubin; Sandy Napel
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Publication Detail:
Type:  Journal Article; Validation Studies    
Journal Detail:
Title:  Journal of digital imaging     Volume:  24     ISSN:  1618-727X     ISO Abbreviation:  J Digit Imaging     Publication Date:  2011 Dec 
Date Detail:
Created Date:  2011-11-10     Completed Date:  2012-04-03     Revised Date:  2013-06-30    
Medline Journal Info:
Nlm Unique ID:  9100529     Medline TA:  J Digit Imaging     Country:  United States    
Other Details:
Languages:  eng     Pagination:  1078-86     Citation Subset:  IM    
Affiliation:
Department of Radiology, Stanford University School of Medicine, Stanford, CA 94305-5105, USA. ramanb@stanford.edu
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MeSH Terms
Descriptor/Qualifier:
Adult
Aged
Aged, 80 and over
Algorithms*
Angiography / methods*
Aortography / methods
Arterial Occlusive Diseases / radiography*
Atherosclerosis / radiography*
Connective Tissue / radiography*
Contrast Media / diagnostic use
Female
Femoral Artery / radiography
Humans
Iliac Artery / radiography
Iopamidol / diagnostic use
Male
Middle Aged
Peripheral Vascular Diseases / radiography*
Popliteal Artery / radiography
Reproducibility of Results
Retrospective Studies
Risk Factors
Tomography, X-Ray Computed / methods*
Chemical
Reg. No./Substance:
0/Contrast Media; 62883-00-5/Iopamidol
Comments/Corrections

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