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Comment
. 2016 Jul;8(7):1421-4.
doi: 10.21037/jtd.2016.05.23.

Shedding light on the gray zone

Haruki Tanaka  1 , Takenori Okada  2 , Yasuki Kihara  3
Affiliations
Comment

Shedding light on the gray zone

Haruki Tanaka et al. J Thorac Dis. 2016 Jul.
No abstract available

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Conflict of interest statement

Conflicts of Interest: The authors have no conflicts of interest to declare.

Figures

Figure 1
Figure 1
Comparison of diagnostic accuracy of multivariate and univariate models using stress TPD—rest TPD to predict regions of interest with coronary lesions corresponding to FFR <0.80. Receiver operating characteristic curves were developed based on univariate and multivariate logistic regression analyses using stress TPD—rest TPD to predict whether LAD (A) and non-LAD (B) regions have lesions with FFR <0.80. Diagnostic accuracy at predicted value of 0.50 in LAD regions was better and AUC was larger (P=0.013) in multivariate, than in univariate models. Despite improved diagnostic accuracy, AUC in non-LAD region did not significantly differ between univariate and univariate models (P=0.054). Net reclassification analysis revealed that multivariate model significantly reclassified 15% of FFR ≥0.80 and 13% of FFR <0.80 predicted by the univariate model. AUC, area under the curve; CI, confidence interval; FFR, fractional flow reserve; LAD, left anterior descending artery; NPV, negative predictive value; PPV, positive predictive value; TPD, total perfusion defect. Reproduced with permission from the publisher (9).
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