For the NQW cohort, both sequences classified infarcts as transmural in 16/33 (48%) subjects and subendocardial in 17/33 (52%). For the QW cohort, both sequences classified infarcts as transmural in 21/23 (91%) subjects and subendocardial in 2/23 (9%). Results: Fifty-six subjects were enrolled in the final analysis. The image quality obtained by Conv-LGE and DB-LGE were evaluated according to the signal intensity ratio (SIR) and contrast-to-noise ratio (CNR). MI quantitation was by MI% (the ratio of MI volume to whole myocardial volume) and transmural grading, compared using paired t-test and Wilcoxon-test, respectively. The patients were divided into QW and NQW groups by one experienced cardiologist. Twelve-lead ECG were performed on the same day. All the participants underwent cardiac MR imaging including conv-LGE and DB-LGE. Methods: Sixty-four clinically confirmed infarction patients were enrolled in this prospective study. We hypothesize that improved detection of subendocardial enhancement with DB-LGE will result in improved correlation of electrocardiogram (ECG) and extent of infarction. Dark Blood LGE imaging (DB-LGE) nulls the blood pool improving the conspicuity and accuracy of detection of subendocardial infarcts. Conventional LGE (Conv-LGE) detection of subendocardial MI is limited by bright blood pool. This view has been challenged by the advent of late gadolinium enhancement (LGE) MR imaging. Traditional classification divides infarcts into transmural and non-transmural based on QW and NQW. Linsheng Song 1,2, Xiaohai Ma 2, Xinxiang Zhao 3, Lei Zhao 4, Mark DeLano 5, Yang Fan 6, Bin Wu 6, Aijia Lu 2, Jie Tian 2, Liping He 7ġDepartment of Radiology, Sichuan Academy of Medical Sciences & Sichuan Provincial People’s Hospital, Chengdu 610072, China 2Department of Interventional Diagnosis and Treatment, Beijing Anzhen Hospital, Capital Medical University, Beijing 100029, China 3Department of Radiology, The Second Affiliated Hospital of Kunming Medical University, Kunming 650101, China 4Department of Radiology, Beijing Anzhen Hospital, Capital Medical University, Beijing 100029, China 5Division of Radiology and Biomedical Imaging, College of Human Medicine, Michigan State University, Advanced Radiology Services, PC, Spectrum Health, Grand Rapids, Michigan, USA 6GE Healthcare, Beijing 100176, China 7Department of Epidemiology and Biostatistics, School of Public Health, Kunming Medical University, Kunming 650500, ChinaĬontributions: (I) Conception and design: X Ma, X Zhao (II) Administrative support: X Ma, X Zhao, L Zhao (III) Provision of study materials or patients: X Ma, L Zhao, Y Fan, B Wu (IV) Collection and assembly of data: L Song, Y Fan, A Lu, J Tian (V) Data analysis and interpretation: X Ma, X Zhao, L Song, L Zhao, M DeLano, L He (VI) Manuscript writing: All authors (VII) Final approval of manuscript: All authors.īackground: The pathological Q-wave (QW) is an important indicator of infarcted myocardial volume indicating a worse prognosis compared to non-Q-wave (NQW) infarctions.
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