A comparative study of target vessel assessments by three- and two-dimensional quantitative coronary X-ray angiography and visual estimation.
- Author:
Pei-yuan HAO
1
;
Ai-hua CHEN
;
Xu-dong SONG
;
Xiang-long WEI
;
Shan-shan ZHOU
;
Fei HE
;
Sheng-xian TU
Author Information
- Publication Type:Journal Article
- MeSH: Aged; Coronary Angiography; methods; Coronary Disease; diagnostic imaging; pathology; Coronary Vessels; pathology; Female; Humans; Image Interpretation, Computer-Assisted; Imaging, Three-Dimensional; methods; Male; Middle Aged; Retrospective Studies
- From: Journal of Southern Medical University 2011;31(2):333-337
- CountryChina
- Language:Chinese
-
Abstract:
OBJECTIVETo compare the efficacy of three-dimensional (3D) and two-dimensional (2D) quantitative coronary X-ray angiography (QCA) and visual estimation in the assessment of target vessels.
METHODSThe radiographic data of 60 patients (65 vessel segments) receiving coronary angiography and interventional stent placement were retrospectively analyzed. The area stenosis, diameter stenosis, lesion length, and reference diameter assessed by Medis 3D QCA, Siemens 2D QCA and visual estimation were compared.
RESULTSThree-dimensional reconstruction was successfully performed for 65 vessel segments, and 3 target vessel were excluded due to the lack of a second angiographic view for 3D reconstruction. There were significant differences in the assessments of the area stenosis [(73.87 ∓ 8.98)% vs (79.10 ∓ 8.06)% vs (83.53 ∓ 8.19)%, P<0.001], lesion length (28.95 ∓ 17.31 mm vs 26.20 ∓ 16.04 mm vs 27.21 ∓ 16.58 mm, P<0.001), reference diameter (28.95 ∓ 17.31 mm vs 26.2 ∓ 16.04 mm vs 27.21∓16.58 mm, P<0.001) by 3D QCA, 2D QCA and visual estimation; the diameter stenosis assessed by 3D [(54.21 ∓ 9.48)%] and 2D QCA [(57.84 ∓ 10.17)%] also differed significantly (P=0.016).
CONCLUSION3D QCA allows successful three-dimensional reconstruction of the target vessel and restores the actual dimensions of the vessel for a more accurate assessment of coronary artery disease than 2D QCA and visual estimation.