Prognostic value of biventricular mechanical parameters assessed using cardiac magnetic resonance feature‐tracking analysis to predict future cardiac events. Issue 4 (17th August 2016)
- Record Type:
- Journal Article
- Title:
- Prognostic value of biventricular mechanical parameters assessed using cardiac magnetic resonance feature‐tracking analysis to predict future cardiac events. Issue 4 (17th August 2016)
- Main Title:
- Prognostic value of biventricular mechanical parameters assessed using cardiac magnetic resonance feature‐tracking analysis to predict future cardiac events
- Authors:
- Yang, Li Tan
Yamashita, Eiji
Nagata, Yasufumi
Kado, Yuichiro
Oshima, Shigeru
Otsuji, Yutaka
Takeuchi, Masaaki - Abstract:
- Abstract : Purpose: To study and compare the prognostic value of cardiac magnetic resonance feature tracking (MR‐FT) of biventricular strain parameters with a conventional method. Materials and Methods: We retrospectively enrolled 364 patients undergoing clinically indicated cardiac MR examinations (1.5 or 3T scanner). Standard steady‐state free precession (SSFP) images were used for analysis. Left ventricular (LV) and right ventricular (RV) ejection fraction (EF) were measured using conventional disk‐area summation methods. Biventricular strain parameters were measured using MR‐FT. All patients were followed to record major adverse cardiac events (MACEs). Results: The correlations between LV volumes and LVEF using both methods were excellent ( r = 0.87–0.98). RV strain parameters were modestly correlated with RVEF ( r = 0.44–0.63). During a median follow‐up of 15 months, 36 patients developed MACEs. All MR‐FT‐derived parameters except for RV global longitudinal strain were significantly associated with future MACEs ( P < 0.05) in univariate analysis. In stepwise Cox proportional hazard models, RV global radial strain (RVGRS) provided incremental prognostic value in models adjusted for age, gender, conventional LVEF (hazard ratio 0.93; P = 0.029) or RVEF (hazard ratio 0.93; P = 0.038). LV global transverse strain (LVGTS) also offered additional value over age, gender, conventional LVEF (hazard ratio 0.94; P = 0.041), or RVEF (hazard ratio 0.94; P = 0.004). Kaplan–MeierAbstract : Purpose: To study and compare the prognostic value of cardiac magnetic resonance feature tracking (MR‐FT) of biventricular strain parameters with a conventional method. Materials and Methods: We retrospectively enrolled 364 patients undergoing clinically indicated cardiac MR examinations (1.5 or 3T scanner). Standard steady‐state free precession (SSFP) images were used for analysis. Left ventricular (LV) and right ventricular (RV) ejection fraction (EF) were measured using conventional disk‐area summation methods. Biventricular strain parameters were measured using MR‐FT. All patients were followed to record major adverse cardiac events (MACEs). Results: The correlations between LV volumes and LVEF using both methods were excellent ( r = 0.87–0.98). RV strain parameters were modestly correlated with RVEF ( r = 0.44–0.63). During a median follow‐up of 15 months, 36 patients developed MACEs. All MR‐FT‐derived parameters except for RV global longitudinal strain were significantly associated with future MACEs ( P < 0.05) in univariate analysis. In stepwise Cox proportional hazard models, RV global radial strain (RVGRS) provided incremental prognostic value in models adjusted for age, gender, conventional LVEF (hazard ratio 0.93; P = 0.029) or RVEF (hazard ratio 0.93; P = 0.038). LV global transverse strain (LVGTS) also offered additional value over age, gender, conventional LVEF (hazard ratio 0.94; P = 0.041), or RVEF (hazard ratio 0.94; P = 0.004). Kaplan–Meier analysis showed significant survival differences in subgroups stratified by the median value of LVGTS, RVGRS, and LVEF using MR‐FT (all log‐rank P < 0.05). Conclusion: Deformation analysis of both ventricles using MR‐FT provided significant prognostic power similar to parameters obtained using conventional methods. MR‐FT is a promising alternative both for ventricular chamber quantification and for providing information of future cardiac events. Level of Evidence: 3 J. Magn. Reson. Imaging 2017;45:1034–1045 … (more)
- Is Part Of:
- Journal of magnetic resonance imaging. Volume 45:Issue 4(2017)
- Journal:
- Journal of magnetic resonance imaging
- Issue:
- Volume 45:Issue 4(2017)
- Issue Display:
- Volume 45, Issue 4 (2017)
- Year:
- 2017
- Volume:
- 45
- Issue:
- 4
- Issue Sort Value:
- 2017-0045-0004-0000
- Page Start:
- 1034
- Page End:
- 1045
- Publication Date:
- 2016-08-17
- Subjects:
- cardiac magnetic resonance imaging -- feature tracking -- prognosis
Magnetic resonance imaging -- Periodicals
616 - Journal URLs:
- http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1522-2586 ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1002/jmri.25433 ↗
- Languages:
- English
- ISSNs:
- 1053-1807
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5010.791000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 11490.xml