Ali Mohammadzadeh1, Fariborz Faeghi2, Nazanin Sahraee1, Hamidreza Pouraliakbar1, Reza Kiani1, Vahid Mohammadzadeh3, Pouya Entezari4, Ali Borhani5, Madjid Shakiba5, Sakineh Kadivar6, Maryam Mohammadzadeh4. 1. Rajaei Cardiovascular Medical and Research Center, Iran University of Medical Sciences, Tehran, Iran. 2. Faculty of Allied Health Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran. 3. Farabi Hospital, Tehran University of Medical Sciences, Tehran, Iran. 4. Amiralam Hospital, Tehran University of Medical Sciences, Tehran, Iran. 5. Advanced Diagnostic and Interventional Radiology Research Center, Tehran University of Medical Sciences, Tehran, Iran. 6. Amiralmomenin Hospital, Guilan University of Medical Sciences, Rasht, Iran.
Abstract
PURPOSE: To assess the diagnostic value of three-dimensional steady-state free precession magnetic resonance angiography (3D-SSFP MRA) for detecting coronary artery disease (CAD). MATERIALS AND METHODS: Patients suspected of CAD based on clinical evaluation, underwent invasive coronary angiography (CAG) and Cardiac MRA (CMRA). Collected data in favor of any CAD findings in CMRA were compared to CAG results as the standard diagnostic method in CAD detection. Analysis was performed on per-patient, per-vessel and per-segment bases. RESULTS: A total of 30 patients (mean age: 43 ± 10 years, 19 men) were enrolled for analysis. On per-patient analysis, sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV) and area under receiver operator characteristic (ROC) curve of CMRA for detection of coronary artery stenosis were 100% (CI95%: 75% - 100%), 50% (CI95%: 18% - 81%), 73.33% (CI95%: 46% - 90%), 100% (CI95%: 47% - 100%) and 0.827, respectively. On per-vessel analysis, CMRA had a sensitivity of 89.29% (CI95%: 71%-97%), specificity of 80.56% (CI95%: 63% - 91%), PPV of 78.13% (CI95%: 60% - 90%), NPV of 90.63% (CI95%: 74% - 98%) and area under ROC curve of 0.845. On per-segment analysis, sensitivity, specificity, PPV and NPV of CMRA for segmental stenosis detection were 77.78% (CI95%: 60% - 89%), 87% (CI95%: 81% - 92%), 62% (CI95%: 46% - 76%), and 93.89% (CI95%: 88% - 97%), respectively. Area under ROC curve was 0.835 on per-segment analysis. CONCLUSION: 3D SSFP CMRA provides a promising non-invasive diagnostic tool for assessing coronary artery disease.
PURPOSE: To assess the diagnostic value of three-dimensional steady-state free precession magnetic resonance angiography (3D-SSFP MRA) for detecting coronary artery disease (CAD). MATERIALS AND METHODS:Patients suspected of CAD based on clinical evaluation, underwent invasive coronary angiography (CAG) and Cardiac MRA (CMRA). Collected data in favor of any CAD findings in CMRA were compared to CAG results as the standard diagnostic method in CAD detection. Analysis was performed on per-patient, per-vessel and per-segment bases. RESULTS: A total of 30 patients (mean age: 43 ± 10 years, 19 men) were enrolled for analysis. On per-patient analysis, sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV) and area under receiver operator characteristic (ROC) curve of CMRA for detection of coronary artery stenosis were 100% (CI95%: 75% - 100%), 50% (CI95%: 18% - 81%), 73.33% (CI95%: 46% - 90%), 100% (CI95%: 47% - 100%) and 0.827, respectively. On per-vessel analysis, CMRA had a sensitivity of 89.29% (CI95%: 71%-97%), specificity of 80.56% (CI95%: 63% - 91%), PPV of 78.13% (CI95%: 60% - 90%), NPV of 90.63% (CI95%: 74% - 98%) and area under ROC curve of 0.845. On per-segment analysis, sensitivity, specificity, PPV and NPV of CMRA for segmental stenosis detection were 77.78% (CI95%: 60% - 89%), 87% (CI95%: 81% - 92%), 62% (CI95%: 46% - 76%), and 93.89% (CI95%: 88% - 97%), respectively. Area under ROC curve was 0.835 on per-segment analysis. CONCLUSION: 3D SSFP CMRA provides a promising non-invasive diagnostic tool for assessing coronary artery disease.
Authors: Aryan Zahergivar; Madison Kocher; Jeffrey Waltz; Ismail Kabakus; Jordan Chamberlin; Selcuk Akkaya; Ali M Agha; U Joseph Schoepf; Jeremy R Burt Journal: Heliyon Date: 2021-03-18