Open AccessSyntax score calculation with Multislice Computed Tomographic Angiography in comparison to invasive coronary angiography
Author(s) -
Mohamed Abdel Ghany,
Khaled El Maghraby
Publication year - 2015
Publication title -
the egyptian heart journal /the egyptian heart journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.212
H-Index - 9
eISSN - 2090-911X
pISSN - 1110-2608
DOI - 10.1016/j.ehj.2014.05.001
Subject(s) - medicine , kappa , radiology , computed tomographic angiography , angiography , multislice , syntax , cohen's kappa , coronary angiography , nuclear medicine , myocardial infarction , mathematics , statistics , artificial intelligence , geometry , computer science
AbstractThe aim was to study the feasibility of syntax score calculation with Multislice Computed Tomographic Angiography (MSCTA).MethodsSyntax score was calculated and compared for 91 consecutive patients underwent MSCTA and Invasive coronary angiography (ICA).ResultsMSCTA for the diagnosis of >50 % stenosis per coronary artery showed that MSCTA had a specificity, sensitivity, specificity, negative predictive value and accuracy of 92.2% (217/235), 97.1% (125/129), 98.2% (217/221), and 94.3% (364/386) respectively. Agreement between modalities was high with a kappa of 0.74. There was a positive correlation between MSCTA and ICA Syntax scores (r=0.73, p=0.000). The mean Syntax score was 15.8±7.16 for ICA versus 16.3±7.6 for MSCTA (Kappa of Cohen 0.66, p=0.000). The Bland–Altman plot revealed that the estimated bias was 1.9±3.4 and the most bias occurred with a higher syntax score. Lesions per patient were more identified with MSCTA than ICA (2.5±1.4 vs. 1.9±1.1, p<0.001), with a good level of agreement (kappa=0.65). Syntax score per lesion was similar with a high level of agreement (6.3±5.8 vs. 6.0±4.8, kappa=0.74, p<0.001). Calcified lesions were identified to a similar extent (28 vs. 26 cases) with a fair level of agreement (kappa=0.42). Lesions identified with both techniques showed a higher level of agreement than the total score (6.5±4.8 for MSCTA vs. 6.9±6.3 for ICA, p<0.05), kappa=0.76.ConclusionMSCTA showed a good level of agreement with ICA in syntax score calculation