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The study aims to assess the diagnostic performance of vpFFR against traditional QCA methods in determining hemodynamic severity of coronary lesions.

January 16, 2026DiagnosticsOpen Access

“Vox Populi” Fractional Flow Reserve (vpFFR)—Leveraging Wisdom of the Crowd for the Assessment of Hemodynamic Severity of Intermediate Coronary Lesions

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Prospective analysis compares vpFFR with 2D- and 3D-QCA for hemodynamic severity assessment, suggesting better diagnostic performance for vpFFR.

The study aims to assess the diagnostic performance of vpFFR against traditional QCA methods in determining hemodynamic severity of coronary lesions.
Conducted a prospective registry analysis of consecutive FFR procedures at a single center.
Calculated vpFFR as the mean of five blinded predictions of invasively measured FFR.
Utilized Pearson’s correlation coefficient and ROC curve analysis for performance comparisons.
vpFFR showed a Pearson's correlation of 0.56 with invasively measured FFR, while 2D- and 3D-QCA showed −0.26 and −0.01 respectively.
vpFFR had a sensitivity of 56% and specificity of 84%, outperforming 2D- and 3D-QCA in lesion classification.
The area under the ROC curve for vpFFR was 0.78 compared to 0.63 for 2D-QCA and 0.45 for 3D-QCA.

Odanović et al. (2026) studied this question.

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January 16, 2026DiagnosticsOpen Access

View Full Paper

Ask AI

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Authors

Prospective analysis compares vpFFR with 2D- and 3D-QCA for hemodynamic severity assessment, suggesting better diagnostic performance for vpFFR.

The study aims to assess the diagnostic performance of vpFFR against traditional QCA methods in determining hemodynamic severity of coronary lesions.
Conducted a prospective registry analysis of consecutive FFR procedures at a single center.
Calculated vpFFR as the mean of five blinded predictions of invasively measured FFR.
Utilized Pearson’s correlation coefficient and ROC curve analysis for performance comparisons.
vpFFR showed a Pearson's correlation of 0.56 with invasively measured FFR, while 2D- and 3D-QCA showed −0.26 and −0.01 respectively.
vpFFR had a sensitivity of 56% and specificity of 84%, outperforming 2D- and 3D-QCA in lesion classification.
The area under the ROC curve for vpFFR was 0.78 compared to 0.63 for 2D-QCA and 0.45 for 3D-QCA.

Odanović et al. (2026) studied this question.

View Full Paper

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