Reliable 5-min real-time MR technique for left-ventricular-wall motion analysis
Autor: | Arno Buecker, Harald P. Kühl, Marcus Katoh, Claudia S. A. Lipke, Elmar Spuentrup, Rolf W. Günther |
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Rok vydání: | 2007 |
Předmět: |
Male
medicine.medical_specialty Magnetic Resonance Imaging Cine Sensitivity and Specificity Ventricular Function Left Electrocardiography Ventricular Dysfunction Left Cohen's kappa Computer Systems Heart Rate Image Processing Computer-Assisted medicine Humans Radiology Nuclear Medicine and imaging Aged Neuroradiology medicine.diagnostic_test business.industry Ultrasound Magnetic resonance imaging General Medicine Real-time MRI Gold standard (test) Steady-state free precession imaging Middle Aged Myocardial Contraction Female Radiology Nuclear medicine business |
Zdroj: | European Radiology. 17:1836-1841 |
ISSN: | 1432-1084 0938-7994 |
DOI: | 10.1007/s00330-006-0551-4 |
Popis: | The aim of this study was to investigate the value of a real-time magnetic resonance imaging (MRI) approach for the assessment of left-ventricular-wall motion in patients with insufficient transthoracic echocardiography in terms of accuracy and temporal expenditure. Twenty-five consecutive patients were examined on a 1.5-Tesla whole-body MR system (ACS-NT, Philips Medical Systems, Best, NL) using a real-time and ECG-gated (the current gold standard) steady-state free-precession (SSFP) sequence. Wall motion was analyzed by three observers by consensus interpretation. In addition, the preparation, scanning, and overall examination times were measured. The assessment of the wall motion demonstrated a close agreement between the two modalities resulting in a mean kappa coefficient of 0.8. At the same time, each stage of the examination was significantly shortened using the real-time MR approach. Real-time imaging allows for accurate assessment of left-ventricular-wall motion with the added benefit of decreased examination time. Therefore, it may serve as a cost-efficient alternative in patients with insufficient echocardiography. |
Databáze: | OpenAIRE |
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