Toru Naganuma1, Azeem Latib2, Charis Costopoulos2, Kensuke Takagi3, Charbel Naim4, Katsumasa Sato2, Tadashi Miyazaki2, Masanori Kawaguchi2, Vasileios F Panoulas5, Sandeep Basavarajaiah2, Filippo Figini2, Alaide Chieffo4, Matteo Montorfano4, Mauro Carlino4, Antonio Colombo6. 1. Interventional Cardiology Unit, San Raffaele Scientific Institute, Milan, Italy; Interventional Cardiology Unit, EMO-GVM Centro Cuore Columbus, Milan, Italy; Interventional Cardiology Unit, New Tokyo Hospital, Chiba, Japan. 2. Interventional Cardiology Unit, San Raffaele Scientific Institute, Milan, Italy; Interventional Cardiology Unit, EMO-GVM Centro Cuore Columbus, Milan, Italy. 3. Interventional Cardiology Unit, New Tokyo Hospital, Chiba, Japan. 4. Interventional Cardiology Unit, San Raffaele Scientific Institute, Milan, Italy. 5. Interventional Cardiology Unit, San Raffaele Scientific Institute, Milan, Italy; Interventional Cardiology Unit, EMO-GVM Centro Cuore Columbus, Milan, Italy; National Heart and Lung Institute, Imperial College London, London, UK. 6. Interventional Cardiology Unit, San Raffaele Scientific Institute, Milan, Italy; Interventional Cardiology Unit, EMO-GVM Centro Cuore Columbus, Milan, Italy. Electronic address: info@emocolumbus.it.
Abstract
BACKGROUND: The correlation between fractional flow reserve (FFR) and intravascular ultrasound (IVUS) metrics including minimal lumen area (MLA), plaque burden and morphology remain a matter of debate. METHODS: Between June 2008 and May 2013, 132 intermediate stenoses in 109 patients were assessed by FFR, IVUS and quantitative angiography. Receiver-operating characteristic (ROC) curve analyses were used to identify MLA/lesion length/plaque burden cut-off values predictive of FFR <0.80. RESULTS: FFR <0.80 was observed in 39 lesions. In the entire cohort, MLA value <2.70mm(2) had 79.5% sensitivity, 76.3% specificity, 0.822 area under curve (AUC), 58.5% positive predictive value, 89.9% negative predictive value and 77.3% accuracy in predicting a positive FFR. In lesions with reference diameter vessel (RVD) ≥3.0mm, the MLA cut-off value was 2.84mm(2) (sensitivity 72.2%, specificity 83.0%, AUC 0.842) whereas in lesions with RVD <3.0mm, 2.59mm(2) (sensitivity 90.5%, specificity 69.6%, AUC 0.823). A moderate correlation was observed between MLA and FFR (r=0.429, p<0.001). The cut-off lesion length predictive of FFR <0.80 was 11.0mm with a weak correlation between the two (r=-0.348, p<0.001). Plaque morphology did not significantly affect FFR (p=0.485). On multivariable analysis, MLA (OR: 0.15; 95% CI: 0.05-0.40; p<0.001) and plaque burden (OR: 1.11; 95% CI: 1.04-1.20; p<0.003) were independent predictors of FFR <0.80. CONCLUSION: A modest, yet significant correlation was observed between MLA and FFR. The high negative predictive value of large MLAs (using afore-mentioned cut-off values) may provide some degree of confidence that the lesion in question is not functionally significant.
BACKGROUND: The correlation between fractional flow reserve (FFR) and intravascular ultrasound (IVUS) metrics including minimal lumen area (MLA), plaque burden and morphology remain a matter of debate. METHODS: Between June 2008 and May 2013, 132 intermediate stenoses in 109 patients were assessed by FFR, IVUS and quantitative angiography. Receiver-operating characteristic (ROC) curve analyses were used to identify MLA/lesion length/plaque burden cut-off values predictive of FFR <0.80. RESULTS: FFR <0.80 was observed in 39 lesions. In the entire cohort, MLA value <2.70mm(2) had 79.5% sensitivity, 76.3% specificity, 0.822 area under curve (AUC), 58.5% positive predictive value, 89.9% negative predictive value and 77.3% accuracy in predicting a positive FFR. In lesions with reference diameter vessel (RVD) ≥3.0mm, the MLA cut-off value was 2.84mm(2) (sensitivity 72.2%, specificity 83.0%, AUC 0.842) whereas in lesions with RVD <3.0mm, 2.59mm(2) (sensitivity 90.5%, specificity 69.6%, AUC 0.823). A moderate correlation was observed between MLA and FFR (r=0.429, p<0.001). The cut-off lesion length predictive of FFR <0.80 was 11.0mm with a weak correlation between the two (r=-0.348, p<0.001). Plaque morphology did not significantly affect FFR (p=0.485). On multivariable analysis, MLA (OR: 0.15; 95% CI: 0.05-0.40; p<0.001) and plaque burden (OR: 1.11; 95% CI: 1.04-1.20; p<0.003) were independent predictors of FFR <0.80. CONCLUSION: A modest, yet significant correlation was observed between MLA and FFR. The high negative predictive value of large MLAs (using afore-mentioned cut-off values) may provide some degree of confidence that the lesion in question is not functionally significant.
Authors: Selim Topcu; Ibrahim Halil Tanboğa; Enbiya Aksakal; Uğur Aksu; Oktay Gulcu; Oğuzhan Birdal; Arif Arısoy; Arzu Kalaycı; Fatih Rifat Ulusoy; Serdar Sevimli Journal: Postepy Kardiol Interwencyjnej Date: 2016-08-19 Impact factor: 1.426