Document Detail

In vivo assessment of optimal viewing angles from X-ray coronary angiography.
MedLine Citation:
PMID:  21550911     Owner:  NLM     Status:  In-Data-Review    
Aims: To propose and validate a novel approach to determine the optimal angiographic viewing angles for a selected coronary (target) segment from X-ray coronary angiography, without the need to reconstruct the entire coronary tree in three-dimensions (3D), such that subsequent interventions are carried out from the best view. Methods and results: The approach starts with standard quantitative coronary angiography (QCA) of the target vessel in two angiographic views. Next, the target vessel is reconstructed in 3D, and in a very simple and intuitive manner, the possible overlap of the target vessel and other vessel segments can be assessed, resulting in the best view with minimum foreshortening and overlap. A retrospective study including 67 patients was set up for the validation. The overlap prediction result was compared with the true overlap on the available angiographic views (TEST views). The foreshortening for the views proposed by the new approach software viewing angle (SVA) and the views used during the stent deployment software viewing angle (EVA) were compared. Two experienced interventional cardiologists visually evaluated the success of SVA with respect to EVA. The evaluation results were graded into five values ranging from -2 to 2. The overlap prediction algorithm successfully predicted the overlap condition for all 235 TEST views. EVA was associated with more foreshortening than SVA (8.9%±8.2% vs. 1.6%±1.5%, p<0.001). The average evaluated point for the success of SVA was 0.94±0.80 (p <0.001), indicating that the evaluators were in favor of the optimal views determined by the proposed approach versus the views used during the actual intervention. Conclusions: The proposed approach is able to accurately and quickly determine the optimal viewing angles for the online support of coronary interventions.
Shengxian Tu; Peiyuan Hao; Gerhard Koning; Xianglong Wei; Xudong Song; Aihua Chen; Johan H C Reiber
Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  EuroIntervention : journal of EuroPCR in collaboration with the Working Group on Interventional Cardiology of the European Society of Cardiology     Volume:  7     ISSN:  1969-6213     ISO Abbreviation:  EuroIntervention     Publication Date:  2011 May 
Date Detail:
Created Date:  2011-05-09     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  101251040     Medline TA:  EuroIntervention     Country:  France    
Other Details:
Languages:  eng     Pagination:  112-20     Citation Subset:  IM    
Department of Radiology, Leiden University Medical Center, The Netherlands.
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