Native T1 heterogeneity for predicting reverse remodeling in patients with non-ischemic dilated cardiomyopathy.
Minori KinoshitaShingo KatoSho KodamaMai AzumaNaoki NakayamaKazuki FukuiNaka SaitoTae IwasawaKazuo KimuraKouichi TamuraDaisuke UtsunomiyaPublished in: Heart and vessels (2022)
A recent study has shown that the heterogeneity of native T1 mapping may be a new prognostic factor for patients with non-ischemic dilated cardiomyopathy (NIDCM). This study aimed to investigate the predictive value of native T1 heterogeneity of the left ventricular (LV) myocardium, as assessed by pixel-wise histogram analysis, for predicting left ventricular reverse remodeling (LVRR) by medical therapy in patients with NIDCM. A total of one hundred and thirteen NIDCM patients (mean age: 63 ± 12 years; 91 males and 22 females; mean LV ejection fraction (EF): 37 ± 10%) were retrospectively analyzed. T1 mapping images were acquired using a modified look-locker inversion recovery (MOLLI) sequence. We performed histogram analysis of native T1 mapping of LV myocardium, mean (T1-mean) and standard deviation (T1-STD) of native T1 time from each pixel were calculated. Extracellular volume fraction (ECV) was also evaluated. LVRR was defined as LVEF increased ≥ 10% points and decrease in LV end-diastolic volume ≥ 10% at 12 months from initiation of medical therapy. Cutoff value of T1-mean and T1-STD was set as median value of each parameter. Sixty (53%) NIDCM patients reached LVRR. Area under the receiver-operating characteristics curve for predicting LVRR was 0.763 (95% confidence interval (CI) 0.679-0.847) for %LGE, 0.757 (95% CI 0.663-0.850) for T1-mean, 0.724 (95% CI 0.625-0.823) for T1-STD, 0.800 (95% CI 0.717-0.882) for ECV, respectively. Proportion of LVRR was significantly lower in NIDCM patients with high T1-mean and high T1-STD (12%) compared to NIDCM with high T1-mean and low T1-STD (65%) (p < 0.001). Adding T1-STD to T1-mean improved AUC from 0.757 to 0.806, comparable to AUC of ECV. Combination of T1-mean and T1-STD, a parameter of heterogeneity of native T1 of the LV myocardium, may be a useful for prediction of LVRR by medical therapy without use of gadolinium contrast for patients with NIDCM.
Keyphrases
- ejection fraction
- aortic stenosis
- prognostic factors
- left ventricular
- end stage renal disease
- single cell
- healthcare
- high resolution
- newly diagnosed
- chronic kidney disease
- contrast enhanced
- magnetic resonance
- stem cells
- machine learning
- high density
- peritoneal dialysis
- computed tomography
- hypertrophic cardiomyopathy
- magnetic resonance imaging
- mitral valve
- blood pressure
- atrial fibrillation
- mass spectrometry
- diffusion weighted imaging
- deep learning
- mesenchymal stem cells
- blood brain barrier
- replacement therapy
- patient reported
- transcatheter aortic valve replacement