Post-contrast T1 Mapping Research Articles

Abstract 4134729: Quantitative, time-efficient viability cardiac magnetic resonance with delayed-phase dynamic contrast enhancement model: a pilot study in dogs with myocardial infarction

Introduction: Late gadolinium enhancement (LGE) is the gold standard for myocardial viability imaging, recommended by all major cardiology societies. In this study, we aimed to develop a time-efficient viability imaging technique utilizing a dynamic contrast enhancement(dDCE) model to shorten the LGE wait time, provide quantitative measures of the contrast washout procedure, and potentially enable a fast and quantitative mean for scar imaging. Methods: A canine study(n=10) was conducted on reperfused myocardial infarction(MI). A dDCE model using dynamic post-contrast T1 maps was adopted to depict the contrast washout process. dDCE maps were reconstructed using the whole dataset(dDCE 30min ) and a 5-minute subset of the T1 maps(dDCE 5min ). To test the dDCE models for shortening the LGE wait time, LGE dDCE images were synthesized using the dDCE 5min maps and compared to the clinical LGE images. Remote and MI dDCE parameters on dDCE 30min and dDCE 5min maps were compared to test the model's ability to extract physiological features. Results: dDCE 30min and dDCE 5min map showed a good visuospatial difference between remote and MI(Fig. 1A) and no quantitative difference (Fig.1B). v e and PS showed a significant elevation in MI than in remote (61.12±13.65% vs 13.43±5.00%, P =0.018; 44.62±21.40mL/g/min vs 0.42±0.55mL/g/min, P =0.018, respectively). v p and F p were significantly decreased in MI than in remote (4.17±2.06% vs 10.85±3.77%, P =0.02; 1.11±0.32mL/g/min vs 1.51±0.42mL/g/min, P =0.04, respectively). Representative LGE and LGE dDCE images showed high agreement in the presence of MI (Fig. 2A). Bland-Altman analysis showed good agreement between LGE and LGE dDCE images for the measurement of infarct area (bias, -1.74 ± 6.60 %, Fig. 2B) and transmuraltiy (bias, 1.86 ± 2.73 %, Fig. 2C). The simple liner regression showed strong correlations between LGE and LGE dDCE images for the infarct area (R 2 , 0.95; slope, 0.93, P <0.01; Fig. 2D) and transmurality (R 2 , 0.97; slope, 0.93, P <0.01; Fig. 2E). ROC analysis showed that the AUC was 0.97 (95% CI: 0.94 to 1.00) (Fig. 2F). Increased lesion-blood pool contrast by 10 folds on dDCE images improved subendocardial MI detection (Fig.3). Conclusions: The developed dDCE model provides comparable viability assessment ability to the standard LGE images without the prolonged wait time and reflects MI pathophysiological changes. It shows the potential for a rapid and quantitative myocardial viability imaging protocol using cardiac magnetic resonance.

Free-breathing 3D cardiac extracellular volume (ECV) mapping using a linear tangent space alignment (LTSA) model.

To develop a new method for free-breathing 3D extracellular volume (ECV) mapping of the whole heart at 3 T. A free-breathing 3D cardiac ECV mapping method was developed at 3 T. T1 mapping was performed before and after contrast agent injection using a free-breathing electrocardiogram-gated inversion recovery sequence with spoiled gradient echo readout. A linear tangent space alignment model-based method was used to reconstruct high-frame-rate dynamic images from (k,t)-space data sparsely sampled along a random stack-of-stars trajectory. Joint T1 and transmit B1 estimation were performed voxel-by-voxel for pre- and post-contrast T1 mapping. To account for the time-varying T1 after contrast agent injection, a linearly time-varying T1 model was introduced for post-contrast T1 mapping. ECV maps were generated by aligning pre- and post-contrast T1 maps through affine transformation. The feasibility of the proposed method was demonstrated using in vivo studies with six healthy volunteers at 3 T. We obtained 3D ECV maps at a spatial resolution of 1.9 × 1.9 × 4.5 mm3 and a FOV of 308 × 308 × 144 mm3, with a scan time of 10.1 ± 1.4 and 10.6 ± 1.6 min before and after contrast agent injection, respectively. The ECV maps and the pre- and post-contrast T1 maps obtained by the proposed method were in good agreement with the 2D MOLLI method both qualitatively and quantitatively. The proposed method allows for free-breathing 3D ECV mapping of the whole heart within a practically feasible imaging time. The estimated ECV values from the proposed method were comparable to those from the existing method.

Automatic pipeline for segmentation of LV myocardium on quantitative MR T1 maps using deep learning model and computation of radial T1 and ECV values.

Native T1 mapping is a non-invasive technique used for early detection of diffused myocardial abnormalities, and it provides baseline tissue characterization. Post-contrast T1 mapping enhances tissue differentiation, enables extracellular volume (ECV) calculation, and improves myocardial viability assessment. Accurate and precise segmenting of the left ventricular (LV) myocardium on T1 maps is crucial for assessing myocardial tissue characteristics and diagnosing cardiovascular diseases (CVD). This study presents a deep learning (DL)-based pipeline for automatically segmenting LV myocardium on T1 maps and automatic computation of radial T1 and ECV values. The study employs a multicentric dataset consisting of retrospective multiparametric MRI data of 332 subjects to develop and assess the performance of the proposed method. The study compared DL architectures U-Net and Deep Res U-Net for LV myocardium segmentation, which achieved a dice similarity coefficient of 0.84 ±0.43 and 0.85 ±0.03, respectively. The dice similarity coefficients computed for radial sub-segmentation of the LV myocardium on basal, mid-cavity, and apical slices were 0.77 ±0.21, 0.81 ±0.17, and 0.61 ±0.14, respectively. The t-test performed between ground truth vs. predicted values of native T1, post-contrast T1, and ECV showed no statistically significant difference (p> 0.05) for any of the radial sub-segments. The proposed DL method leverages the use of quantitative T1 maps for automatic LV myocardium segmentation and accurately computing radial T1 and ECV values, highlighting its potential for assisting radiologists in objective cardiac assessment and, hence, in CVD diagnostics.

Predictors of lung cancer subtypes and lymph node status in non-small-cell lung cancer: intravoxel incoherent motion parameters and extracellular volume fraction

ObjectiveTo determine the performance of intravoxel incoherent motion (IVIM) parameters and the extracellular volume fraction (ECV) in distinguishing between different subtypes of lung cancer and predicting lymph node metastasis (LNM) status in patients with non-small-cell lung cancer (NSCLC).MethodsOne hundred sixteen patients with lung cancer were prospectively recruited. IVIM, native, and postcontrast T1 mapping examinations were performed, and the T1 values were measured to calculate the ECV. The differences in IVIM parameters and ECV were compared between NSCLC and small-cell lung cancer (SCLC), adenocarcinoma (Adeno-Ca) and squamous cell carcinoma (SCC), and NSCLC without and with LNM. The assessment of each parameter’s diagnostic performance was based on the area under the receiver operating characteristic curve (AUC).ResultsThe apparent diffusion coefficient (ADC), true diffusion coefficient (D), and ECV values in SCLC were considerably lower compared with NSCLC (all p < 0.001, AUC > 0.887). The D value in SCC was substantially lower compared with Adeno-Ca (p < 0.001, AUC = 0.735). The perfusion fraction (f) and ECV values in LNM patients were markedly higher compared with those without LNM patients (p < 0.01, < 0.001, AUC > 0.708).ConclusionIVIM parameters and ECV can serve as non-invasive biomarkers for assisting in the pathological classification and LNM status assessment of lung cancer patients.Critical relevance statementIVIM parameters and ECV demonstrated remarkable potential in distinguishing pulmonary carcinoma subtypes and predicting LNM status in NSCLC.Key PointsLung cancer is prevalent and differentiating subtype and invasiveness determine the treatment course.True diffusion coefficient and ECV showed promise for subtyping and determining lymph node status.These parameters could serve as non-invasive biomarkers to help determine personalized treatment strategies.Graphical

Left ventricular structural integrity on tetralogy of Fallot patients: approach using longitudinal relaxation time mapping.

Tetralogy of Fallot (TOF) is a congenital heart disease, and patients undergo surgical repair early in their lives. The evaluation of TOF patients is continuous through their adulthood. The use of cardiac magnetic resonance imaging (CMR) is vital for the evaluation of TOF patients. We aim to correlate advanced MRI sequences [parametric longitudinal relaxation time (T1), extracellular volume (ECV) mapping] with cardiac functionality to provide biomarkers for the evaluation of these patients. A complete CMR examination with the same imaging protocol was conducted in a total of 11 TOF patients and a control group of 25 healthy individuals. A Modified Look-Locker Inversion recovery (MOLLI) sequence was included to acquire the global T1 myocardial relaxation times of the left ventricular (LV) pre and post-contrast administration. Appropriate software (Circle cmr42) was used for the CMR analysis and the calculation of native, post-contrast T1, and ECV maps. A regression analysis was conducted for the correlation between global LV T1 values and right ventricular (RV) functional indices. Statistically significant results were obtained for RV cardiac index [RV_CI= -32.765 + 0.029 × T1 native; ], RV end diastolic volume [RV_EDV/BSA = -1023.872 + 0.902 × T1 native; ], and RV end systolic volume [RV_ESV/BSA = -536.704 + 0.472 × T1 native; ]. We further support the diagnostic importance of T1 mapping as a structural imaging tool in CMR. In addition to the well-known affected RV function in TOF patients, the LV structure is also impaired as there is a strong correlation between LV T1 mapping and RV function, evoking that the heart operates as an entity.

Cardiovascular Magnetic Resonance Radiomics to Identify Components of the Extracellular Matrix in Dilated Cardiomyopathy.

Current cardiovascular magnetic resonance sequences cannot discriminate between different myocardial extracellular space (ECSs), including collagen, noncollagen, and inflammation. We sought to investigate whether cardiovascular magnetic resonance radiomics analysis can distinguish between noncollagen and inflammation from collagen in dilated cardiomyopathy. We identified data from 132 patients with dilated cardiomyopathy scheduled for an invasive septal biopsy who underwent cardiovascular magnetic resonance at 3 T. Cardiovascular magnetic resonance imaging protocol included native and postcontrast T1 mapping and late gadolinium enhancement (LGE). Radiomic features were computed from the midseptal myocardium, near the biopsy region, on native T1, extracellular volume (ECV) map, and LGE images. Principal component analysis was used to reduce the number of radiomic features to 5 principal radiomics. Moreover, a correlation analysis was conducted to identify radiomic features exhibiting a strong correlation (r>0.9) with the 5 principal radiomics. Biopsy samples were used to quantify ECS, myocardial fibrosis, and inflammation. Four histopathological phenotypes were identified: low collagen (n=20), noncollagenous ECS expansion (n=49), mild to moderate collagenous ECS expansion (n=42), and severe collagenous ECS expansion (n=21). Noncollagenous expansion was associated with the highest risk of myocardial inflammation (65%). Although native T1 and ECV provided high diagnostic performance in differentiating severe fibrosis (C statistic, 0.90 and 0.90, respectively), their performance in differentiating between noncollagen and mild to moderate collagenous expansion decreased (C statistic: 0.59 and 0.55, respectively). Integration of ECV principal radiomics provided better discrimination and reclassification between noncollagen and mild to moderate collagen (C statistic, 0.79; net reclassification index, 0.83 [95% CI, 0.45-1.22]; P<0.001). There was a similar trend in the addition of native T1 principal radiomics (C statistic, 0.75; net reclassification index, 0.93 [95% CI, 0.56-1.29]; P<0.001) and LGE principal radiomics (C statistic, 0.74; net reclassification index, 0.59 [95% CI, 0.19-0.98]; P=0.004). Five radiomic features per sequence were identified with correlation analysis. They showed a similar improvement in performance for differentiating between noncollagen and mild to moderate collagen (native T1, ECV, LGE C statistic, 0.75, 0.77, and 0.71, respectively). These improvements remained significant when confined to a single radiomic feature (native T1, ECV, LGE C statistic, 0.71, 0.70, and 0.64, respectively). Radiomic features extracted from native T1, ECV, and LGE provide incremental information that improves our capability to discriminate noncollagenous expansion from mild to moderate collagen and could be useful for detecting subtle chronic inflammation in patients with dilated cardiomyopathy.

Volume-weighted unipolar voltage identifies diffuse fibrosis in patients with non-ischemic cardiomyopathy

Abstract Background Late-gadolinium enhanced cardiac magnetic resonance imaging (LGE-CMR) is currently used to identify non-ischemic scar. However, the distribution of non-ischemic fibrosis related to ventricular arrhythmia (VA) may vary between patients and cannot be accurately delineated by LGE-CMR. Myocardial extracellular volume fraction (ECV) is a promising tool to estimate the amount of diffuse fibrosis in non-ischemic cardiomyopathies (NICM). Novel intra-cardiac mapping derived tools, such as volume-weighted unipolar voltage (vwUV), may allow intraprocedural quantification of diffuse fibrosis. Purpose To evaluate the performance of vwUV to determine the segmental amount of non-ischemic fibrosis defined by whole-heart T1 mapping. Methods Consecutive patients with a left dominant NICM referred for ablation of VA, who underwent 3D LGE-CMR, whole-heart pre- and post-contrast T1 mapping and high density electroanatomical voltage mapping (EAVM) were included. CMR images were segmented and merged with the 3D EAVM data. The 16-segment AHA model was applied and vwUV and ECVs were determined per segment. Results Twenty-one patients (age 54 years [49-60], 18 males [87%], LVEF 47% [37-57%], LGE 7.7% (2.8-18.2%) of LV myocardium) were included and 305 segments analysed. The median ECV per patient was 30.3% (28.8-35.2%). The median segmental vwUV was 1.8mV (1.2-2.3mV). The basal septal and basal inferolateral segments tended to have higher ECV. However there was important variation between patients (figure 1). Of note, the segmental vwUV correlated well with segmental ECV (r = -0.53, p &amp;lt; 0.001) (figure 2). Conclusions For the first time, a segmental comparison has been performed between ECV and vwUV. There are important segmental variations of ECV between patients with a NICM referred for VA ablation. The novel intra-cardiac mapping-derived tool of vwUV can localize non-ischemic fibrosis and may facilitate substrate based ablation approaches in this challenging patient population.Figure 1.Segmental ECV valuesFigure 2.Segmental ECV and vwUV

Deep cardiac phenotyping by cardiovascular magnetic resonance reveals subclinical focal and diffuse myocardial injury in patients with psoriasis (PSOR-COR study).

Psoriasis vulgaris (PV) is a chronic inflammatory disorder frequently associated with cardiovascular disease (CVD). This study aims to provide a prospective tissue characterization in patients with PV without major CVD using cardiovascular magnetic resonance (CMR). Patients with PV underwent laboratory assessment, a 12-lead and 24-h ECG, and a CMR exam at a 1.5-T scanner. Scan protocol included assessment of left (LV) and right (RV) ventricular function and strain analysis, native and post-contrast T1 mapping, T2 mapping and late gadolinium enhancement (LGE). In total, 60 PV patients (median(IQR) age in years: 50.0 (36.0-60.8); 34 men (56.7%)) were recruited and compared to 40 healthy volunteers (age in years: 49.5 (37.3-57.8); 21 men (53.0%)). No differences were found regarding LV and RV function (p = 0.78 and p = 0.75). Global radial and circumferential strains were lower in patients (p < 0.001 and p < 0.001, respectively). PV had higher global T1 times (1001 (982-1026) ms vs. 991 (968-1005) ms; p = 0.01) and lower global T2 times (48 (47-49) ms vs. 50 (48-51) ms; p < 0.001); however, all values were within local reference ranges. Focal non-ischemic fibrosis was observed in 17 (28.3%) PV patients. Deep cardiac phenotyping by CMR revealed subclinical myocardial injury in patients with PV without major CVD, despite preserved LV and RV function. Diffuse and focal fibrosis might be the first detectable signs of adverse tissue remodeling leading to reduced circumferential and radial myocardial deformation. In the background of local and systemic immunomodulatory therapy, no signs of myocardial inflammation were detected. The exact impact of immunomodulatory therapies on the myocardium needs to be addressed in future studies. ISRCTN71534700.

Prognostic value of native T1 and extracellular volume in patients with immunoglubin light-chain amyloidosis

BackgroundCardiac involvement in patients with immunoglubin light-chain amyloidosis (AL) is a major determinant of treatment choice and prognosis, and early identification of high-risk patients can initiate intensive treatment strategies to achieve better survival. This study aimed to investigate the prognostic value of native T1 and ECV in patients with AL-cardiac amyloidosis (CA).MethodsA total of 38 patients (mean age 59 ± 11 years) with AL diagnosed histopathologically from July 2017 to October 2021 were collected consecutively. All patients were performed 3.0-T cardiac magnetic resonance (CMR) including cine, T1 mapping, and late gadolinium enhancement (LGE). Pre- and post-contrast T1 mapping images were transferred to a dedicated research software package (CVI42 v5.11.3) to create parametric T1 and ECV values. In addition, clinical and laboratory data of all patients were collected, and patients or their family members were regularly followed up by telephone every 3 months. The starting point of follow-up was the time of definitive pathological diagnosis, and the main endpoint was all-cause death. Kaplan-Meier analysis and Cox proportional risk model were used to evaluate the association between native T1 and ECV and death in patients with CA.ResultsAfter a median follow-up of 27 (16, 37) months, 12 patients with CA died. Kaplan-Meier analysis showed that elevated native T1 and ECV were closely associated with poor prognosis in patients with CA. The survival rate of patients with ECV > 44% and native T1 > 1389ms were significantly lower than that of patients with ECV ≤ 44% and native T1 ≤ 1389ms (Log-rank P < 0.001), and was not associated with the presence of LGE. After adjusting for clinical risk factors and CMR measurements in a stepwise multivariate Cox regression model, ECV [risk ratio (HR):1.37, 95%CI: 1.09–1.73, P = 0.008] and native T1 (HR:1.01, 95%CI: 1.00-1.02, P = 0.037) remained independent predictors of all-cause mortality in patients with CA.ConclusionsBoth native T1 and ECV were independently prognostic for mortality in patients with CA, and can be used as important indicators for clinical prognosis assessment of AL.

Peripheral microvascular function is linked to cardiac involvement on cardiovascular magnetic resonance in systemic sclerosis-related pulmonary arterial hypertension.

Systemic sclerosis (SSc) is characterized by vasculopathy, inflammation, and fibrosis, and carries one of the worst prognoses if patients also develop pulmonary arterial hypertension (PAH). Although PAH is a known prognosticator, patients with SSc-PAH demonstrate disproportionately high mortality, presumably due to cardiac involvement. In this cross-sectional study, the relationship between cardiac involvement revealed by cardiovascular magnetic resonance (CMR) and systemic microvascular disease severity measured with nailfold capillaromicroscopy (NCM) in patients with SSc-PAH is evaluated and compared with patients with idiopathic PAH (IPAH). Patients with SSc-PAH and IPAH underwent CMR, echocardiography, and NCM with post-occlusive reactivity hyperaemia (PORH) testing on the same day. CMR imaging included T2 (oedema), native, and post-contrast T1 mapping to measure the extracellular volume fraction (ECV, fibrosis) and adenosine-stress-perfusion imaging measuring the relative myocardial upslope (microvascular coronary perfusion). Measures of peripheral microvascular function were related to CMR indices of oedema, fibrosis, and myocardial perfusion. SSc-PAH patients (n = 20) had higher T2 values and a trend towards a higher ECV, compared with IPAH patients (n = 5), and a lower nailfold capillary density (NCD) and reduced capillary recruitment after PORH. NCD correlated with ECV and T2 (r = -0.443 and -0.464, respectively, P < 0.05 for both) and with markers of diastolic dysfunction on echocardiography. PORH testing, but not NCD, correlated with the relative myocardial upslope (r = 0.421, P < 0.05). SSc-PAH patients showed higher markers of cardiac fibrosis and inflammation, compared with IPAH patients. These markers correlated well with peripheral microvascular dysfunction, suggesting that SSc-driven inflammation and vasculopathy concurrently affect peripheral microcirculation and the heart. This may contribute to the disproportionate high mortality in SSc-PAH.

Mechanisms of left ventricular systolic dysfunction in light chain amyloidosis: a multiparametric cardiac MRI study.

Cardiac systolic dysfunction is a poor prognostic marker in light-chain (AL) cardiomyopathy, a primary interstitial disorder; however, its pathogenesis is poorly understood. This study aims to analyze the effects of extracellular volume (ECV) expansion, a surrogate marker of amyloid burden on myocardial blood flow (MBF), myocardial work efficiency (MWE), and left ventricular (LV) systolic dysfunction in AL amyloidosis. Subjects with biopsy-proven AL amyloidosis were prospectively enrolled (April 2016-June 2021; Clinicaltrials.gov ID NCT02641145) and underwent cardiac magnetic resonance imaging (MRI) to quantify rest MBF by perfusion imaging, LV ejection fraction (LVEF) by cine MRI, and ECV by pre- and post-contrast T1 mapping. The MWE was estimated as external cardiac work from the stroke volume and mean arterial pressure normalized to the LV myocardial mass. Rest MBF in 92 subjects (62 ± 8 years, 52 men) with AL amyloidosis averaged 0.87 ± 0.21 ml/min/g and correlated with MWE (r = 0.42; p < 0.001). Rest MBF was similarly low in subjects with sustained hematologic remission after successful AL amyloidosis therapy (n = 21), as in those with recently diagnosed AL amyloidosis. Both MBF and MWE decreased by ECV tertile (p < 0.01 for linear trends). The association of ECV with MWE comprised a direct effect (84% of the total effect; p < 0.001) on MWE from adverse interstitial remodeling assessed by ECV and an indirect effect (16% of the total effect; p < 0.001) mediated by MBF. There was a significant base-to-apex gradient of rest MBF in subjects with higher amyloid burden. In AL amyloidosis, both MBF and MWE decrease as cardiac amyloid burden and ECV expansion increase. Both structural and vascular changes from ECV expansion and myocardial amyloid burden appear to contribute to lower MWE.

Prognostic significance of T2 mapping in evaluating myocardium alterations in patients with ST segment elevation myocardial infarction

To investigate the value of T2 mapping in the assessment of myocardial changes and prognosis in patients with acute ST segment elevation myocardial infarction (STEMI). A retrospective study was conducted. A total of 30 patients with acute STEMI admitted to Tianjin First Central Hospital from January 2021 to March 2022 were enrolled as the experimental group. At the same time, 30 age- and sex-matched healthy volunteers and outpatients with non-specific chest pain with no abnormalities in cardiac magnetic resonance (CMR) examination were selected as the control group. CMR was performed within 2 weeks after the diagnosis of STEMI, as the initial reference. A plain CMR review was performed 6 months later (chronic myocardial infarction, CMI). Plain scanning includes film sequence (CINE), T2 weighted short tau inversion recovery (T2-STIR), native-T1 mapping, and T2 mapping. Enhanced scanning includes first-pass perfusion, late gadolinium enhancement (LGE), and post-contrast T1 mapping. Quantitative myocardial parameters were compared between the two groups, before and after STEMI myocardial infarction. The receiver operator characteristic curve (ROC curve) was used to evaluate the diagnostic efficacy of native-T1 before myocardial contrast enhancement and T2 values in differentiating STEMI and CMI after 6 months. There were no statistically significant differences in age, gender, heart rate and body mass index (BMI) between the two groups, which were comparable. The native-T1 value, T2 value and extracellular volume (ECV) were significantly higher than those in the control group [native-T1 value (ms): 1 434.5±165.3 vs. 1 237.0±102.5, T2 value (ms): 48.3±15.6 vs. 21.8±13.1, ECV: (39.6±13.8)% vs. (22.8±5.0)%, all P < 0.05]. In the experimental group, 12 patients were re-examined by plain CMR scan 6 months later. After 6 months, the high signal intensity on T2-STIR was still visible, but the range was smaller than that in the acute phase, and the native-T1 and T2 values were significantly lower than those in the acute phase [native-T1 value (ms): 1 271.0±26.9 vs. 1 434.5±165.3, T2 value (ms): 34.2±11.2 vs. 48.3±15.6, both P < 0.05]. ROC curve analysis showed that the area under the ROC curve (AUC) of native-T1 and T2 values in differentiating acute STEMI from CMI was 0.71 and 0.80, respectively. When native-T1 cut-off value was 1 316.0 ms, the specificity was 100% and the sensitivity was 53.3%; when T2 cut-off value was 46.7 ms, the specificity was 100% and the sensitivity was 73.8%. The T2 mapping is a non-invasive method for the diagnosis of myocardial changes in patients with acute STEMI myocardial infarction, and can be used to to evaluate the clinical prognosis of patients.

A 3-slice cardiac quantitative native and post-contrast T1 and T2 MRI protocol requiring only four BHs using a 72-channel receive array coil

IntroductionCurrent practice to obtain left ventricular (LV) native and post-contrast T1 and T2 comprises single-slice readouts with multiple breath-holds (BHs). We propose a multi-slice parallel-imaging approach with a 72-channel receive-array to reduce BHs and demonstrate this in healthy subjects and hypertrophic cardiomyopathy (HCM) patients.MethodsA T1/T2 phantom was scanned at 3 T using a 16-channel and a novel 72-channel coil to assess the impact of different coils and acceleration factors on relaxation times. 16–18 healthy participants (8 female, age 28.4 ± 5.1 years) and 3 HCM patients (3 male, age 55.3 ± 4.2 years) underwent cardiac-MRI with the 72-channel coil, using a Modified Look-Locker scan with a shared inversion pulse across 3 slices and a Gradient-Spin-Echo scan. Acceleration was done by sensitivity encoding (SENSE) with accelerations 2, 4, and 6. LV T1 and T2 values were analyzed globally, per slice, and in 16 segments, with SENSE = 2 as the reference.ResultsThe phantom scans revealed no bias between coils and acceleration factors for T1 or T2, except for T2 with SENSE = 2, which resulted in a bias of 8.0 ± 6.7 ms (p &amp;lt; 0.001) between coils. SENSE = 4 and 6 enabled T1 mapping of three slices in a single BH, and T2 mapping of three slices within two BHs. In healthy subjects, T1 and T2 values varied. We found an average overestimation of T1 in 3 slices of 25 ± 87 ms for SENSE = 4 and 30 ± 103 ms using SENSE = 6, as compared to SENSE = 2. Acceleration resulted in decreased signal-to-noise; however, visually insignificant and without increased incidence of SENSE-artifacts. T2 was overestimated by 2.1 ± 5.0 ms for SENSE = 4 and 6.4 ± 9.7 ms using SENSE = 6, as compared to SENSE = 2. Native and post-contrast T1 measurements with SENSE = 4 and ECV quantification in HCM patients was successful.ConclusionThe 72-channel receiver-array coil with SENSE = 4 and 6, enabled LV-tissue characterization in three slices. Pre- and post-contrast T1 maps were obtained in a single BH, while T2 required two BHs.

Abstract 18671: Cardiac Magnetic Resonance Radiomics Characterization of Myocardial Extracellular Matrix in Dilated Cardiomyopathy

Introduction: Current CMR sequences cannot discriminate between different myocardial extracellular space (ECS), including collagen, non-collagen, and inflammation. We sought to investigate if CMR radiomics analysis can distinguish between non-collagen and inflammation from collagen in dilated cardiomyopathy (DCM). Methods: 132 DCM patients were scheduled for an invasive septal biopsy and underwent CMR at 3T incorporating native and post-contrast T1 mapping and late gadolinium enhancement (LGE). The radiomic features were computed from the mid-septal myocardium, near the biopsy region, on native T1, extracellular volume (ECV) map, and LGE images. Principal component analysis was used to reduce the number of calculated radiomic features to five. These features were then used in a regression model to discriminate between non-collagen and collagen ECS. Biopsy samples were used to quantify ECS, myocardial fibrosis, and inflammation. Results: Four histopathological phenotypes were identified as normal (G1, n=20), non-collagenous ECS expansion (G2, n=49), collagenous ECS expansion (G3, n=42), and severe fibrosis (G4, n=21). G2 was associated with the highest risk of myocardial inflammation (65%). While native T1 and ECV provided high diagnostic performance in differentiating G4 (AUC= 0.90 and 0.90), their performance in differentiating between G2 and G3 decreased (AUC= 0.59 and 0.55, respectively). Integration of ECV radiomics provided better discrimination and reclassification between G2 and G3 (AUC= 0.79, net reclassification index 0.83; 95% CI 0.45-1.22, p&lt;0.001). A similar trend was observed with the addition of native T1 radiomics and LGE radiomics. Conclusions: The radiomic features extracted from native T1, ECV, and LGE provided incremental information that may improve our capability to discriminate non-collagenous ECS from collagen and could be useful for detecting subtle chronic inflammation in DCM patients.

Myocardial Fibrosis in Sickle Cell Anemia

Introduction Cardiovascular disease is a leading cause of morbidity and mortality in patients with sickle cell disease (SCD) as they age.Contrast-enhanced cardiac MRI has been utilized to evaluate myocardial fibrosis by calculating the extracellular matrix volume fraction (ECV) from pre and post-contrast T1 mapping. Recent research in both animal and human models reveal that SCD patients have elevated ECV suggestive of myocardial fibrosis and is associated with diastolic dysfunction. The effects of current first-line therapies, chronic transfusions (CTT) or hydroxyurea (HU), on myocardial fibrosis are unknown and at present, there is conflicting data regarding their benefits. At our institution, SCD patients are treated early with either hydroxyurea, chronic transfusions, or both. We aimed to determine whether current disease-modifying therapies differentially affect myocardial fibrosis. Methods This was a single-center, retrospective cohort study of chronically transfused SCD patients and SCD patients on HU and/or CTT at Children's Hospital of Los Angeles between 2017 and 2022 aiming to assess clinical biomarkers associated with elevated ECV in sickle cell disease. This study was reviewed and approved by the Children's Hospital Los Angeles Institutional Review Board. All patients underwent cardiac MRI for clinical assessment of myocardial iron, cardiac enlargement, and myocardial fibrosis. Continuous variables are expressed as mean±standard deviation for normally distributed data and median [interquartile range] for non-normally distributed data. Parametric and non-parametric testing were used where appropriate and c-square testing was used for categorical variables. Results A total of 63 SCD patients, mean age 17.3±5.9 years (range 5-36yo), who underwent contrast-enhanced cardiac MRI imaging between 2017 and 2022 were included in this study: 27 CTT; 43 HU; and 7 healthy participants, mean age 15.4±2.4 years. There was no difference in age between treatment groups, nor healthy and SCD participants. There were 6 SCD patients not on any therapy and 13 patients on both. The ECV was elevated in SCD versus healthy (31.3% [27.9, 35] vs 26% [23.7,27.2], P=0.0003). There was no significant difference between the ECV values of patients on CTT, HU, both or no therapy, P=0.56 (Fig.1A). There was no difference in average length of therapy between CTT or HU, mean 10.4±4.9 vs 10.2±5.2 years and no association between length of therapy and ECV. We found positive correlation of E/A ratio with ECV in patients with SCD regardless of therapy (Spearmans rho 0.34, P=0.008), suggesting an association with left ventricular (LV) restrictive physiology. ECV was associated with increased WBC count (rho +0.28, P=0.03), AST (rho +0.3, P=0.02), decreased GFR (P=0.02), and decreased hemoglobin (rho -0.41, P=0.0013) (Fig.1B), while there was a trend toward increased urine microalbumin (rho +0.41, P=0.09). Discussion Fibrosis is likely due to prolonged, continuous exposure to inadequate myocardial oxygen supply and cardiac microvascular disease. Amelioration of myocardial fibrosis likely requires consistent, effective CTT or HU therapy as suggested by the Cincinnati/CHLA study. The HU patients in that study had documented high MCV or HbF over many years before ECV was measured. St Jude's study was prospective but follow-up was only 2 years and not compared to an untreated or poorly treated cohort. The sum of these studies suggests that protection from fibrosis may only be seen with continual protection from anemia/microvascular disease. This hypothesis remains to be proven. While we did not see a differential effect of hydroxyurea vs. chronic transfusion therapy, it is important to put this data into the context of SCD therapies and their indications. CTT is generally reserved for the most severe vascular disease phenotypes, such as stroke. Hydroxyurea is often prescribed but not always adhered to. The ECV range in our cohort was lower than that found in the original Cincinnati cohort, mean 44%±8, but similar to that found in the St. Jude cohort, median 30% [IQR 28,34] (Fig.1A). Lastly, elevated ECV correlates with anemia, a modifiable risk factor; restrictive LV physiology; and decreased estimated GFR, which may hint at similar etiologies. In summary, ECV is a clinically relevant cardiovascular biomarker and current preventative therapies may ameliorate but not abrogate myocardial fibrosis.

The value of cardiac magnetic resonance post-contrast T1 mapping in improving the evaluation of myocardial infarction.

To explore the additional value of cardiac magnetic resonance (CMR) post-contrast T1 mapping in the detection of myocardial infarction, compared with late gadolinium enhancement (LGE). A CMR database of consecutive patients with myocardial infarction was retrospectively analyzed. All patients were scanned at 3 T magnetic resonance; they underwent conventional CMR (including LGE) and post-contrast T1 mapping imaging. Two radiologists interpreted the CMR images using a 16-segment model. The first interpretation included only LGE images. After 30 days, the same radiologists performed a second analysis of random LGE images, with the addition of post-contrast T1 mapping images. Images were analyzed to diagnose myocardial scars, and the transmural extent of each scar was visually evaluated. Diagnoses retained after LGE were compared with diagnoses retained after the addition of post-contrast T1 mapping. In total, 80 patients (1,280 myocardial segments) were included in the final analysis. After the addition of post-contrast T1 mapping, eight previously unidentified subendocardial scars were detected. Compared with LGE images, the percentage of infarcted segments was higher after the addition of post-contrast T1 mapping images (21.7% vs. 22.3%, P = 0.008), the percentage of uncertain segments was lower after the addition of post-contrast T1 mapping (0.8% vs. 0.1%, P = 0.004), and the percentage of uncertain transmural extent of scarring was lower after the addition of post-contrast T1 mapping (0.9% vs. 0.1%, P = 0.001). The addition of post-contrast T1 mapping after LGE helps to improve the detection of myocardial infarction, as well as the assessment of the transmural extent of scarring.

Synthetic multi-contrast late gadolinium enhancement imaging using post-contrast magnetic resonance fingerprinting.

Late gadolinium enhancement (LGE) MRI is the non-invasive reference standard for identifying myocardial scar and fibrosis but has limitations, including difficulty delineating subendocardial scar and operator dependence on image quality. The purpose of this work is to assess the feasibility of generating multi-contrast synthetic LGE images from post-contrast T1 and T2 maps acquired using magnetic resonance fingerprinting (MRF). Fifteen consecutive patients with a history of prior ischemic cardiomyopathy (12 men; mean age 63 13 years) were prospectively scanned at 1.5 T between Oct 2020 and May 2021 using conventional LGE and MRF after injection of gadolinium contrast. Three classes of synthetic LGE images were derived from MRF post-contrast T1 and T2 maps: bright-blood phase-sensitive inversion recovery (PSIR), black- and gray-blood T2 -prepared PSIR (T2 -PSIR), and a novel "tissue-optimized" image to enhance differentiation among scar, viable myocardium, and blood. Image quality was assessed on a 1-5 Likert scale by two cardiologists, and contrast was quantified as the mean absolute difference (MAD) in pixel intensities between two tissues, with different methods compared using Kruskal-Wallis with Bonferroni post hoc tests. Per-patient and per-segment scar detection rates were evaluated using conventional LGE images as reference. Image quality scores were highest for synthetic PSIR (4.0) and reference images (3.8), followed by synthetic tissue-optimized (3.3), gray-blood T2 -PSIR (3.0), and black-blood T2 -PSIR (2.6). Among synthetic images, PSIR yielded the highest myocardium/scar contrast (MAD = 0.42) but the lowest blood/scar contrast (MAD = 0.05), and vice versa for T2 -PSIR, while tissue-optimized images achieved a balance among all tissues (myocardium/scar MAD = 0.16, blood/scar MAD = 0.26, myocardium/blood MAD = 0.10). Based on reference mid-ventricular LGE scans, 13/15 patients had myocardial scar. The per-patient sensitivity/accuracy for synthetic images were the following: PSIR, 85/87%; black-blood T2 -PSIR, 62/53%; gray-blood T2 -PSIR, 100/93%; tissue optimized, 100/93%. Synthetic multi-contrast LGE images can be generated from post-contrast MRF data without additional scan time, with initial feasibility shown in ischemic cardiomyopathy patients.

Multicentre medicoeconomic evaluation of cardiac magnetic resonance imaging for predicting coronary artery disease in left ventricular dysfunction: The CAMAREC study design

BackgroundCardiac magnetic resonance imaging may provide a non-invasive alternative to coronary angiography for differentiating between ischaemic and non-ischaemic cardiomyopathy in cases of unexplained reduced left ventricular ejection fraction. AimThe CAMAREC study aims to evaluate the diagnostic accuracy of cardiac magnetic resonance imaging in predicting significant coronary artery disease in patients with reduced left ventricular ejection fraction, using coronary angiography as the gold standard for comparison. MethodsCAMAREC is a prospective cohort study of 406 patients in 10 centres with newly diagnosed, unexplained left ventricular ejection fraction ≤ 45%. Cardiac magnetic resonance imaging and coronary angiography will be conducted within a 2-week interval, starting with cardiac magnetic resonance imaging; independent committees will review the results blindly. Primary outcome is sensitivity of detecting ischaemic scar on cardiac magnetic resonance imaging for predicting significant coronary artery disease on coronary angiography according to Felker's criteria. Secondary outcomes include specificity and positive and negative predictive values (with 95% confidence intervals) of cardiac magnetic resonance imaging for predicting significant coronary artery disease in patients with reduced left ventricular ejection fraction, kappa concordance coefficient between cardiac magnetic resonance imaging and coronary angiography for diagnosing the affected myocardial territory, and the impact of cardiac magnetic resonance imaging on revascularization decisions. Two ancillary studies will evaluate the incremental cost-effectiveness of using cardiac magnetic resonance imaging first versus coronary angiography first, and the sensitivity of pre- and postcontrast T1-mapping for predicting significant coronary artery disease in patients with reduced left ventricular ejection fraction. ConclusionOur study protocol is designed to rigorously evaluate cardiac magnetic resonance imaging as a non-invasive alternative to coronary angiography in patients with unexplained reduced left ventricular ejection fraction. The results will have significant implications for patient management, and may support growing evidence for the clinical utility of cardiac magnetic resonance imaging.

Cardiac T1 mapping enables risk prediction of LV dysfunction after surgery for aortic regurgitation.

To assess whether cardiac T1 mapping for detecting myocardial fibrosis enables preoperative identification of patients at risk for early left ventricular dysfunction after surgery of aortic regurgitation. 1.5 Tesla cardiac magnetic resonance imaging was performed in 40 consecutive aortic regurgitation patients before aortic valve surgery. Native and post-contrast T1 mapping was performed using a modified Look-Locker inversion-recovery sequence. Serial echocardiography was performed at baseline and 8 ± 5 days after aortic valve surgery to quantify LV dysfunction. Receiver operating characteristic analysis was performed to determine the diagnostic accuracy of native T1 mapping and extracellular volume for predicting postoperative LV ejection fraction decrease >-10% after aortic valve surgery. Native T1 was significantly increased in patients with a postoperatively decreased LVEF (n = 15) vs. patients with a preserved postoperative LV ejection fraction (n = 25) (i.e., 1,071 ± 67 ms vs. 1,019 ± 33 ms, p = .001). Extracellular volume was not significantly different between patients with preserved vs. decreased postoperative LV ejection fraction. With a cutoff-of value of 1,053 ms, native T1 yielded an area under the curve (AUC) of .820 (95% CI: .683-.958) for differentiating between patients with preserved vs. reduced LV ejection fraction with 70% sensitivity and 84% specificity. Increased preoperative native T1 is associated with a significantly higher risk of systolic LV dysfunction early after aortic valve surgery in aortic regurgitation patients. Native T1 could be a promising tool to optimize the timing of aortic valve surgery in patients with aortic regurgitation to prevent early postoperative LV dysfunction.

Left ventricular cellular regression occurs without matrix changes at two months post aortic valve replacement in severe aortic stenosis

Abstract Funding Acknowledgements Type of funding sources: Foundation. Main funding source(s): British Heart Foundation Background Increased left ventricular mass (LVM) in severe aortic stenosis (AS) is a result of the combined expansion of myocardial cellular and extracellular compartments in response to chronic pressure overload. Upon relief of pressure overload by aortic valve replacement (AVR), LVM regresses significantly however patients remain at risk of post-AVR heart failure and mortality. T1 mapping, by cardiovascular magnetic resonance (CMR), can quantify the proportion of cellular and extracellular volume. Purpose We sought to determine the relative contributions of cellular and extracellular remodelling early after AVR to gain insight into potential post-AVR mechanisms of heart failure. Methods Patients with severe symptomatic AS underwent CMR (volumes, function, pre- and post-contrast T1 mapping using 0.1mmol/kg Dotarem) prior to and 8-weeks after surgical or transcatheter AVR. Global extracellular volume fraction (ECV%) was quantified from pre- and post-contrast T1 mapping and synthetic haematocrit. ECV% was used to calculate cellular compartment volume (CellVol) and extracellular volume (ECVol) from total LV volume (LVM/1.05[specific gravity of myocardium]). Segments with focal LGE were excluded from ECV% calculation. Statistical analysis was via paired t-test denoted by standard deviations (SD), or Wilcoxon signed-rank test with reported interquartile ranges (IQR). Results 27 patients (age 71.2 SD±9.8, male 70.3%) returned for repeat investigation at median 8.5 [IQR 7.1–11.6] weeks post-AVR (surgical: 16 / transcatheter: 11). Aortic valve peak velocity significantly improved (4.5 SD±0.5m/s to 2.4 SD±0.4m/s; p&amp;lt;0.001) alongside median NYHA class (2 [IQR 0] to 1 [IQR 0.5]; p&amp;lt;0.001). LVM regressed 10.3% (170.8 SD±36.6g to 153.2 SD±39g; P&amp;lt;0.001), which comprised of a 13.8% reduction in CellVol (134.8 SD±29.4mL to 116.2 SD±30.5mL; P&amp;lt;0.001). However, ECVol remained unchanged (44.4 SD±10.2mL to 44.7 SD±11.2mL; P=0.78) resulting in an ECV% increase of 3.1% (24.8 SD±2.4% to 27.9 SD±2.1%; P&amp;lt;0.001). Summary We show for the first time that the rapid early LVM reduction after AVR is driven entirely by regression of cardiomyocyte hypertrophy. The extracellular compartment volume is unchanged at two months post-AVR. This relative increase in the ratio of fibrosis and cell volume may result in early worsening myocardial stiffness and could be a contributing factor to post-AVR diastolic dysfunction and heart failure.