T1 Mapping in Cardiovascular Magnetic Resonance-A Marker of Diffuse Myocardial Fibrosis in Patients Undergoing Hematopoietic Stem Cell Transplantation

Introduction: Hematopoietic stem cell transplantation (HSCT) recipients are at increased risk of cardiovascular diseases. In our study, we aimed to find subclinical changes in myocardial tissue after HSCT with the help of cardiovascular magnetic resonance (CMR) tissue imaging techniques. Methods: The data of 44 patients undergoing autologous and allogeneic HSCT in the Hospital of Lithuanian University of Health Sciences Kaunas Clinics from October 2021 to February 2023 were analyzed. Bioethics approval for the prospective study was obtained (No BE-2-96). CMR was performed two times: before enrolling for the HSCT procedure (before starting mobilization chemotherapy for autologous HSCT and before starting the conditioning regimen for allogeneic HSCT) and 12 ± 1 months after HSCT. LV end-diastolic volume, LV end-systolic volume, LV mass and values indexed to body surface area (BSA), and LV ejection fraction were calculated. T1 and T2 mapping values were measured. Results: There was a statistically significant change in T1 mapping values. Before HSCT, mean T1 mapping was 1226.13 ± 39.74 ms, and after HSCT, it was 1248.70 ± 41.07 ms (p = 0.01). The other parameters did not differ significantly. Conclusions: Increases in T1 mapping values following HSCT can show the progress of diffuse myocardial fibrosis and may reflect subclinical injury. T2 mapping values remain the same and do not show edema and active inflammation processes at 12 months after HSCT.

Noninvasive evaluation of pulmonary artery stiffness in heart failure patients via cardiovascular magnetic resonance

Heart failure (HF) presents manifestations in both cardiac and vascular abnormalities. Pulmonary hypertension (PH) is prevalent in up 50% of HF patients. While pulmonary arterial hypertension (PAH) is closely associated with pulmonary artery (PA) stiffness, the association of HF caused, post-capillary PH and PA stiffness is unknown. We aimed to assess and compare PA stiffness and blood flow hemodynamics noninvasively across HF entities and control subjects without HF using CMR. We analyzed data of a prospectively conducted study with 74 adults, including 55 patients with HF across the spectrum (20 HF with preserved ejection fraction [HFpEF], 18 HF with mildly-reduced ejection fraction [HFmrEF] and 17 HF with reduced ejection fraction [HFrEF]) as well as 19 control subjects without HF. PA stiffness was defined as reduced vascular compliance, indicated primarily by the relative area change (RAC), altered flow hemodynamics were detected by increased flow velocities, mainly by pulse wave velocity (PWV). Correlations between the variables were explored using correlation and linear regression analysis. PA stiffness was significantly increased in HF patients compared to controls (RAC 30.92 ± 8.47 vs. 50.08 ± 9.08%, p < 0.001). PA blood flow parameters were significantly altered in HF patients (PWV 3.03 ± 0.53 vs. 2.11 ± 0.48, p < 0.001). These results were consistent in all three HF groups (HFrEF, HFmrEF and HFpEF) compared to the control group. Furthermore, PA stiffness was associated with higher NT-proBNP levels and a reduced functional status. PA stiffness can be assessed non-invasively by CMR. PA stiffness is increased in HFrEF, HFmrEF and HFpEF patients when compared to control subjects.Trial registration The study was registered at the German Clinical Trials Register (DRKS, registration number: DRKS00015615).

Reproducibility of lung perfusion and ventilation derived using phase-resolved functional lung (PREFUL) MRI imaging

Background

There is a growing demand for non-invasive imaging biomarkers of lung function, allowing more sensitive and timely decision making to achieve better patient outcomes. Recently developed Fourier decomposition MRI methods enable quantitative assessment of lung performance.

Objectives

To assess intra- and inter-observer agreement of lung perfusion and ventilation derived using the free-breathing, contrast agent-free, phase-resolved functional lung (PREFUL) imaging.

Methods

Fifty patients with acute ST-segment elevation myocardial infarction underwent CMR imaging using a 3 T MRI scanner (MAGNETOM Skyra). Coronal images were acquired during free breathing, covering the entire lung using a phase-resolved functional lung 2D FLASH sequence. The main scan parameters were: temporal resolution = 2.1 ms, number of measurements = 250. The lung perfusion and ventilation maps were generated (Figure 1). The analysis of the images was performed using prototype software (MR Lung Prototype version 2.0) by two independent observers. Analysis was repeated after four weeks to assess intra-observer agreement.

Results

PREFUL imaging and analysis were fast with a 35 second scan time and up to one minute post-processing time for a complete quantitative assessment. The lung perfusion and ventilation demonstrated excellent intra-observer (ICC 0.928 (0.870 to 0.959) and 0.994 (0.990 to 0.997) for mean perfusion and ventilation respectively) and inter-observer agreement (ICC 0.966 (0.940 to 0.981) and 0.992 (0.985 to 0.996) for mean perfusion and ventilation respectively). Bland-Altman plots demonstrate intra- and inter-observer reproducibility for lung perfusion and ventilation (Figure 2).

Conclusion

The lung perfusion and ventilation derived using phase-resolved functional lung (PREFUL) MRI imaging are highly reproducible. The Fourier decomposition method may allow fast quantitative evaluation of lung function.

Funding Acknowledgement

Type of funding sources: Public Institution(s). Main funding source(s): Hospital of Lithuanian University of Health Sciences

Predictors of exercise capacity in patients with asymptomatic primary moderate to severe mitral regurgitation and preserved left ventricle ejection fraction

Introduction

Patients with primary moderate or severe mitral regurgitation (MR) often remain asymptomatic for a long time due to mechanisms of compensation. Exercise stress could provoke symptoms, unmask subclinical changes of left and right ventricles and reveal decreased functional capacity. Reduced exercise capacity is related to worse outcomes.

Purpose

The aim of this study was to evaluate an exercise capacity and factors influencing it in patients with asymptomatic primary moderate to severe MR and preserved left ventricle (LV) ejection fraction (EF).

Methods

60 patients with asymptomatic moderate or severe MR and LV EF &gt;60% underwent resting and stress (bicycle–ergometry as per protocol 25 + 25W every 3 minutes) echocardiography. Their exercise capacity was evaluated in Watts (W) and metabolic units (MET). The blood sample for NT-proBNP evaluation was collected just before the stress test.

Results

Patients with primary MR achieved 84.74±35.16 W and 4.87±1.51 MET. According to univariate linear regression analysis exercise capacity in MET was significantly related to age (B=−0.066, p&lt;0.001), systolic pulmonary artery pressure (SPAP) at rest (B=−0.048, p=0.034), resting E wave (B=−0.015, p=0.031) and NT-proBNP (B=−0.003, p=0.006). Predictors of exercise capacity in W also were age (B=−1.273, p=0.002), resting E wave (B=−0.318, p=0.041), NT-proBNP (B=−0.057, p=0.018). Higher concentration of NT-proBNP and bigger SPAP at rest correlated with lower exercise capacity (picture 1). In patients who had exercise induced pulmonary hypertension (EIPH; SPAP &gt;60 mmHg during peak stress) ergometry was more frequently terminated prematurely (19 (95%) and 24 (60%), p=0.012). They also had significantly lower exercise capacity than subjects without EIPH ((W: p=0.015 and MET: p&lt;0.001).

Conclusions

Age, NT-proBNP concentration, resting SPAP and E wave were predisposing factors of exercise capacity in patients with asymptomatic primary moderate to severe MR and preserved LV EF. EIPH and elevated NT-proBNP were related to premature exercise termination and lower exercise capacity.

Funding Acknowledgement

Type of funding sources: None. Picture 1

Myocardial strain analysis of the right ventricle: comparison of different cardiovascular magnetic resonance and echocardiographic techniques

BACKGROUND

Right ventricular (RV) strain is a useful predictor of prognosis in various cardiovascular diseases, including those traditionally believed to impact only the left ventricle. We aimed to determine inter-modality and inter-technique agreement in RV longitudinal strain (LS) measurements between currently available cardiovascular magnetic resonance (CMR) and echocardiographic techniques, as well as their reproducibility and the impact of layer-specific strain measurements.

METHODS

RV-LS was determined in 62 patients using 2D speckle tracking echocardiography (STE, Epsilon) and two CMR techniques: feature tracking (FT) and strain-encoding (SENC), and in 17 healthy subjects using FT and SENC only. Measurements included global and free-wall LS (GLS, FWLS). Inter-technique agreement was assessed using linear regression and Bland-Altman analysis. Reproducibility was quantified using intraclass correlation (ICC) and coefficients of variation (CoV).

RESULTS

We found similar moderate agreement between both CMR techniques and STE in patients: r = 0.57-0.63 for SENC; r = 0.50-0.62 for FT. The correlation between SENC and STE was better for GLS (r = 0.63) than for FWLS (r = 0.57). Conversely, the correlation between FT and STE was higher for FWLS (r = 0.60-0.62) than GLS (r = 0.50-0.54). FT-midmyocardial strain correlated better with SENC and STE than FT-subendocardial strain. The agreement between SENC and FT was fair (r = 0.36-0.41, bias: - 6.4 to - 10.4%) in the entire study group. All techniques except FT showed excellent reproducibility (ICC: 0.62-0.96, CoV: 0.04-0.30).

CONCLUSIONS

We found only moderate inter-modality agreement with STE in RV-LS for both FT and SENC and poor agreement when comparing between the CMR techniques. Different modalities and techniques should not be used interchangeably to determine and monitor RV strain.

Comparison of feature tracking, fast-SENC, and myocardial tagging for global and segmental left ventricular strain

AIMS

A multitude of cardiac magnetic resonance (CMR) techniques are used for myocardial strain assessment; however, studies comparing them are limited. We sought to compare global longitudinal (GLS), circumferential (GCS), segmental longitudinal (SLS), and segmental circumferential (SCS) strain values, as well as reproducibility between CMR feature tracking (FT), tagging (TAG), and fast-strain-encoded (fast-SENC) CMR techniques.

METHODS AND RESULTS

Eighteen subjects (11 healthy volunteers and seven patients with heart failure) underwent two CMR scans (1.5T, Philips) with identical parameters. Global and segmental strain values were measured using FT (Medis), TAG (Medviso), and fast-SENC (Myocardial Solutions). Friedman's test, linear regression, Pearson's correlation coefficient, and Bland-Altman analyses were used to assess differences and correlation in measured GLS and GCS between the techniques. Two-way mixed intra-class correlation coefficient (ICC), coefficient of variance (COV), and Bland-Altman analysis were used for reproducibility assessment. All techniques correlated closely for GLS (Pearson's r: 0.86-0.92) and GCS (Pearson's r: 0.85-0.94). Intra-observer and inter-observer reproducibility was excellent in all techniques for both GLS (ICC 0.92-0.99, CoV 2.6-10.1%) and GCS (ICC 0.89-0.99, CoV 4.3-10.1%). Inter-study reproducibility was similar for all techniques for GLS (ICC 0.91-0.96, CoV 9.1-10.8%) and GCS (ICC 0.95-0.97, CoV 7.6-10.4%). Combined segmental intra-observer reproducibility was good in all techniques for SLS (ICC 0.914-0.953, CoV 12.35-24.73%) and SCS (ICC 0.885-0.978, CoV 10.76-19.66%). Combined inter-study SLS reproducibility was the worst in FT (ICC 0.329, CoV 42.99%), while fast-SENC performed the best (ICC 0.844, CoV 21.92%). TAG had the best reproducibility for combined inter-study SCS (ICC 0.902, CoV 19.08%), while FT performed the worst (ICC 0.766, CoV 32.35%). Bland-Altman analysis revealed considerable inter-technique biases for GLS (FT vs. fast-SENC 3.71%; FT vs. TAG 8.35%; and TAG vs. fast-SENC 4.54%) and GCS (FT vs. fast-SENC 2.15%; FT vs. TAG 6.92%; and TAG vs. fast-SENC 2.15%). Limits of agreement for GLS ranged from ±3.1 (TAG vs. fast-SENC) to ±4.85 (FT vs. TAG) for GLS and ±2.98 (TAG vs. fast-SENC) to ±5.85 (FT vs. TAG) for GCS.

CONCLUSIONS

We found significant differences in measured GLS and GCS between FT, TAG, and fast-SENC. Global strain reproducibility was excellent for all techniques. Acquisition-based techniques had better reproducibility than FT for segmental strain.

Assessment of Global Longitudinal and Circumferential Strain Using Computed Tomography Feature Tracking: Intra-Individual Comparison with CMR Feature Tracking and Myocardial Tagging in Patients with Severe Aortic Stenosis

In this study, we used a single commercially available software solution to assess global longitudinal (GLS) and global circumferential strain (GCS) using cardiac computed tomography (CT) and cardiac magnetic resonance (CMR) feature tracking (FT). We compared agreement and reproducibility between these two methods and the reference standard, CMR tagging (TAG). Twenty-seven patients with severe aortic stenosis underwent CMR and cardiac CT examinations. FT analysis was performed using Medis suite version 3.0 (Leiden, The Netherlands) software. Segment (Medviso) software was used for GCS assessment from tagged images. There was a trend towards the underestimation of GLS by CT-FT when compared to CMR-FT (19.4 ± 5.04 vs. 22.40 ± 5.69, respectively; p = 0.065). GCS values between TAG, CT-FT, and CMR-FT were similar (p = 0.233). CMR-FT and CT-FT correlated closely for GLS (r = 0.686, p < 0.001) and GCS (r = 0.707, p < 0.001), while both of these methods correlated moderately with TAG for GCS (r = 0.479, p < 0.001 for CMR-FT vs. TAG; r = 0.548 for CT-FT vs. TAG). Intraobserver and interobserver agreement was excellent in all techniques. Our findings show that, in elderly patients with severe aortic stenosis (AS), the FT algorithm performs equally well in CMR and cardiac CT datasets for the assessment of GLS and GCS, both in terms of reproducibility and agreement with the gold standard, TAG.