Automated Assessment of Left Ventricular Function and Mass Using Heart Deformation Analysis
| Autor: | Marie-Pierre Jolly, Donald M. Lloyd-Jones, Kai Lin, Debiao Li, Michael Markl, James C. Carr, Jeremy D. Collins |
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| Rok vydání: | 2016 |
| Předmět: |
Cardiac function curve
Cardiac output medicine.medical_specialty Ejection fraction medicine.diagnostic_test business.industry Intraclass correlation Stroke volume 030204 cardiovascular system & hematology Asymptomatic 030218 nuclear medicine & medical imaging 03 medical and health sciences 0302 clinical medicine medicine.anatomical_structure Ventricle Cardiac magnetic resonance imaging Internal medicine cardiovascular system medicine Cardiology Radiology Nuclear Medicine and imaging medicine.symptom business |
| Zdroj: | Academic Radiology. 23:321-325 |
| ISSN: | 1076-6332 |
| Popis: | Rationale and Objectives To assess the performance of automated quantification of left ventricular function and mass based on heart deformation analysis (HDA) in asymptomatic older adults. Materials and Methods This study complied with Health Insurance Portability and Accountability Act regulations. Following the approval of the institutional review board, 160 asymptomatic older participants were recruited for cardiac magnetic resonance imaging including two-dimensional cine images covering the entire left ventricle in short-axis view. Data analysis included the calculation of left ventricular ejection fraction (LVEF), left ventricular mass (LVM), and cardiac output (CO) using HDA and standard global cardiac function analysis (delineation of end-systolic and end-diastolic left ventricle epi- and endocardial borders). The agreement between methods was evaluated using intraclass correlation coefficient (ICC) and coefficient of variation (CoV). Results HDA had a shorter processing time than the standard method (1.5 ± 0.3 min/case vs. 5.8 ± 1.4 min/case, P P P P Conclusions HDA has the potential to measure LVEF, CO, and LVM without the need for user interaction based on standard cardiac two-dimensional cine images. |
| Databáze: | OpenAIRE |
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