BACKGROUND AND AIMS: Coronary computed tomography angiography (CCTA) permits effective identification of diffuse CAD and @entity731 ( @entity731 ). We sought to examine the usefulness of diffuse CAD beyond luminal narrowing and @entity731 by CCTA to detect vessel-specific @entity63 . METHODS: 407 vessels (n  =  252 @entity1 ) from the DeFACTO diagnostic accuracy study were retrospectively analyzed for percent @entity527 ( @entity527 ). Percent @entity527 ( @entity527 ) was obtained on per-vessel level by summation of all contiguous lesion lengths and divided by total vessel length, and was logarithmically transformed (log percent @entity527 ). Additional CCTA measures of @entity850 severity including @entity5562 ( @entity5562 ), and @entity731 , such as positive remodeling (PR) and @entity536 ( @entity536 ), were also included. Vessel-specific @entity63 was defined as fractional flow reserve (FFR) <= 0.80. Multivariable regression, discrimination by area under the receiver operating characteristic curve (AUC), and category-free net reclassification improvement (cNRI) were assessed. RESULTS: Backward stepwise logistic regression revealed that for every unit increase in log percent @entity527 , there was a 58% (95% CI: 1.01-2.48, p  =  0.048) rise in the odds of having an abnormal FFR, independent of @entity850 severity and @entity731 . The AUC indicated no further improvement in discriminatory ability after adding log percent @entity527 to the final parsimonious model of @entity5562 , PR, and @entity536 (AUC difference: 0.003, 95% CI:  -0.003-0.010, p  =  0.33). Conversely, adding log percent @entity527 to the base model of @entity5562 , PR, and @entity536 improved cNRI by 0.21 (95% CI: 0.01-0.41, p  <  0.001). CONCLUSIONS: Accounting for diffuse CAD may help improve the accuracy of CCTA for detecting vessel-specific @entity63 .

Diffuse coronary artery disease among other @entity731 by coronary computed tomography angiography for predicting coronary vessel-specific XXXX by fractional flow reserve.

@entity1 :: ('9606', 'Species') :: ['patients'] @entity527 :: ('MESH:D058225', 'Disease') :: ['plaque diffuseness', 'PD'] @entity63 :: ('MESH:D007511', 'Disease') :: ['ischemia'] @entity536 :: ('MESH:C538265', 'Disease') :: ['low attenuation plaque', 'LAP'] @entity5562 :: ('MESH:D015875', 'Disease') :: ['minimal lumen diameter', 'MLD'] @entity731 :: ('MESH:D050197', 'Disease') :: ['atherosclerotic plaque characteristics', 'APCs'] @entity850 :: ('MESH:D003251', 'Disease') :: ['stenosis']
@entity63 :: (MESH:D007511,Disease) :: ['ischemia']
