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Clinical experience of strain imaging using DENSE for detecting infarcted cardiac segments
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نویسنده
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kihlberg j. ,haraldsson h. ,sigfridsson a. ,ebbers t. ,engvall j.e.
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منبع
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journal of cardiovascular magnetic resonance - 2015 - دوره : 17 - شماره : 1
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چکیده
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Background: we hypothesised that myocardial deformation determined with magnetic resonance imaging (mri) will detect myocardial scar. methods: displacement encoding with stimulated echoes (dense) was used to calculate left ventricular strain in 125 patients (29 women and 96 men) with suspected coronary artery disease. the patients also underwent cine imaging and late gadolinium enhancement. 57 patients had a scar area >1 % in at least one segment,23 were considered free from coronary artery disease (control group) and 45 had pathological findings but no scar (mixed group). peak strain was calculated in eight combinations: radial and circumferential strain in transmural,subendocardial and epicardial layers derived from short axis acquisition,and transmural longitudinal and radial strain derived from long axis acquisitions. in addition,the difference between strain in affected segments and reference segments,differential strain
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کلیدواژه
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from the control group was analysed. Results: In receiver-operator-characteristic analysis for the detection of 50 ,transmurality
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آدرس
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department of radiology,linköping university,linköping,sweden,center for medical image science and visualization (cmiv),linköping university,linköping,sweden,department of medical and health sciences,linköping university,linköping, Sweden, center for medical image science and visualization (cmiv),linköping university,linköping,sweden,department of medical and health sciences,linköping university,linköping,sweden,department of radiology and biomedical imaging,university of california,san francisco,ca, United States, department of clinical physiology,karolinska institutet,karolinska university hospital,stockholm, Sweden, center for medical image science and visualization (cmiv),linköping university,linköping,sweden,department of medical and health sciences,linköping university,linköping, Sweden, center for medical image science and visualization (cmiv),linköping university,linköping,sweden,department of medical and health sciences,linköping university,linköping,sweden,department of clinical physiology,linköping university,linköping, Sweden
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Authors
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