Heng Ma1, Yue Zhang2, Jingjing Chen3, Jun Yang4. 1. Yuhuangding Hospital, Qingdao University School of Medicine, Yantai, China. 2. Department of Radiology, University of Chicago, Chicago, Illinois. 3. Department of Radiology, The Affiliated Hospital of Qingdao University, Shandong, China. Electronic address: xhzyhd@163.com. 4. Yuhuangding Hospital, Qingdao University School of Medicine, Yantai, China. Electronic address: yangjunyhd@163.com.
Abstract
RATIONALE AND OBJECTIVES: Sliding-window conjugate-gradient highly constrained back-projection reconstruction (SW-CG-HYPR) allows whole left ventricular coverage, improved temporal and spatial resolution, and signal-to-noise ratio compared to the conventional 3-slice saturation recovery turbo-fast low-angle shot (SR-Turbo-FLASH) sequence. We prospectively compared the diagnostic value of whole leftventricular coverage myocardial perfusion magnetic resonance imaging (MRI) and conventional 3-slice technique in patients with suspected coronary artery disease (CAD). MATERIALS AND METHODS: Thirty consecutive patients with suspected CAD who were scheduled for coronary angiography underwent myocardial perfusion MRI with both SW-CG-HYPR and SR-Turbo-FLASH in random order at 3.0 T. Perfusion defects were interpreted visually by two blinded observers and were correlated to x-ray angiographic stenoses ≥50%. Receiver-operating characteristic curve analysis was used to compare the diagnostic performance of the two imaging techniques. RESULTS: The image quality score of SW-CG-HYPR was significantly higher than that of SR-Turbo-FLASH (3.4 ± 0.6 vs 3.0 ± 0.7, respectively; p < 0.05). In the per-patient analysis, SW-CG-HYPR provided a higher sensitivity (94% vs 89%), specificity (83% vs 75%), and diagnostic accuracy (90% vs 83%) for the detection of CAD than SR-Turbo-FLASH. In the per-vessel analysis, the diagnostic performance of SW-CG-HYPR was significantly greater than that of SR-Turbo-FLASH for the overall detection of CAD (area under receiver-operating characteristic curve: 0.96 ± 0.02 vs 0.90 ± 0.03, respectively; p < 0.05). CONCLUSION: Whole left ventricular coverage myocardial perfusion MRI has higher diagnostic accuracy compared to conventional 3-slice technique for the detection of suspected CAD.
RATIONALE AND OBJECTIVES: Sliding-window conjugate-gradient highly constrained back-projection reconstruction (SW-CG-HYPR) allows whole left ventricular coverage, improved temporal and spatial resolution, and signal-to-noise ratio compared to the conventional 3-slice saturation recovery turbo-fast low-angle shot (SR-Turbo-FLASH) sequence. We prospectively compared the diagnostic value of whole leftventricular coverage myocardial perfusion magnetic resonance imaging (MRI) and conventional 3-slice technique in patients with suspected coronary artery disease (CAD). MATERIALS AND METHODS: Thirty consecutive patients with suspected CAD who were scheduled for coronary angiography underwent myocardial perfusion MRI with both SW-CG-HYPR and SR-Turbo-FLASH in random order at 3.0 T. Perfusion defects were interpreted visually by two blinded observers and were correlated to x-ray angiographic stenoses ≥50%. Receiver-operating characteristic curve analysis was used to compare the diagnostic performance of the two imaging techniques. RESULTS: The image quality score of SW-CG-HYPR was significantly higher than that of SR-Turbo-FLASH (3.4 ± 0.6 vs 3.0 ± 0.7, respectively; p < 0.05). In the per-patient analysis, SW-CG-HYPR provided a higher sensitivity (94% vs 89%), specificity (83% vs 75%), and diagnostic accuracy (90% vs 83%) for the detection of CAD than SR-Turbo-FLASH. In the per-vessel analysis, the diagnostic performance of SW-CG-HYPR was significantly greater than that of SR-Turbo-FLASH for the overall detection of CAD (area under receiver-operating characteristic curve: 0.96 ± 0.02 vs 0.90 ± 0.03, respectively; p < 0.05). CONCLUSION: Whole left ventricular coverage myocardial perfusion MRI has higher diagnostic accuracy compared to conventional 3-slice technique for the detection of suspected CAD.
Authors: Ye Tian; Jason Mendes; Apoorva Pedgaonkar; Mark Ibrahim; Leif Jensen; Joyce D Schroeder; Brent Wilson; Edward V R DiBella; Ganesh Adluru Journal: PLoS One Date: 2019-02-11 Impact factor: 3.240
Authors: Sarah McElroy; Giulio Ferrazzi; Muhummad Sohaib Nazir; Carl Evans; Joana Ferreira; Filippo Bosio; Nabila Mughal; Karl P Kunze; Radhouene Neji; Peter Speier; Daniel Stäb; Tevfik F Ismail; Pier Giorgio Masci; Adriana D M Villa; Reza Razavi; Amedeo Chiribiri; Sébastien Roujol Journal: Magn Reson Med Date: 2022-03-28 Impact factor: 3.737