OBJECTIVE: We sought to evaluate the accuracy of quantitative three-dimensional (3D) CT angiography (CTA) for the assessment of @entity3979 using digital subtraction angiography (DSA) as the standard of reference. METHOD: Twenty-three @entity1 with 54 lesions were referred for CTA followed by DSA. The CTA scans were performed with 256-slice spiral CT. 3D CTA were reconstructed from two-dimensional CTA imaging sequences in order to extract the following quantitative indices: minimal lumen diameter, percent diameter @entity850 (%DS), minimal lumen area, and percent area @entity850 (%AS). Correlation and limits of agreement were calculated using Pearson correlation and Bland-Altman analysis, respectively. The diagnostic performance and the diagnostic concordance of 3D CTA-derived anatomic parameters (%DS, %AS) for the detection of severe @entity3979 (as assessed by DSA) were presented as sensitivity, specificity, diagnostic accuracy, and Kappa statistics. Of which vessels with %DS >50% or with %AS >75% were identified as severe coronary arterial lesions. RESULT: The correlations of the anatomic parameters between 3D CTA and DSA were significant (r  =  0.51-0.74, P  <  0.001). Bland-Altman analysis confirmed that the mean differences were small (from -1.11 to 27.39%), whereas the limits of agreement were relatively wide (from   28.07 to   138.64%). Otherwise, the diagnostic accuracy (74.1% with 58.3% sensitivity and 86.7% specificity for DS%; 74.1% with 45.8% sensitivity and 96.7% specificity for %AS) and the diagnostic concordance (k  =  0.46 for DS%; 0.45 for %AS) of 3D CTA-derived anatomic parameters for the detection of severe @entity850 were moderate. CONCLUSION: 3D advanced imaging reconstruction technique is a helpful tool to promote the use of CTA as an alternative to assess luminal @entity850 in clinical practice.

Quantification of three-dimensional computed tomography angiography for evaluating XXXX using digital subtraction angiography as the standard of reference.

@entity1 :: ('9606', 'Species') :: ['patients'] @entity3979 :: ('MESH:D023921', 'Disease') :: ['coronary luminal stenosis', 'coronary arterial stenosis'] @entity850 :: ('MESH:D003251', 'Disease') :: ['stenosis']
@entity3979 :: (MESH:D023921,Disease) :: ['coronary luminal stenosis']
