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1.
J Am Heart Assoc ; 13(1): e031403, 2024 Jan 02.
Artigo em Inglês | MEDLINE | ID: mdl-38156506

RESUMO

BACKGROUND: Strain analysis is a sensitive method for the assessment of ventricular structural or functional alterations. The authors aimed to determine whether right ventricular (RV) strain parameters can discriminate patients with revised Task Force Criteria-diagnosed arrhythmogenic RV cardiomyopathy (ARVC) incremental to the existing cardiovascular magnetic resonance (CMR) criteria, thus improving the diagnostic yield of CMR in ARVC. METHODS AND RESULTS: A total of 74 patients with revised Task Force Criteria-diagnosed ARVC (37 borderline and 37 definite) and 37 controls were retrospectively enrolled for analysis. Using CMR feature tracking, RV global longitudinal (GLS), circumferential, and radial strain of all participants were evaluated. Compared with controls, the study patients demonstrated significantly impaired global biventricular strain in all 3 directions (all P<0.001). Receiver operating characteristic curve analysis indicated that RV GLS was the strongest discriminator among all RV strain parameters for the identification of patients with ARVC (area under the curve, 0.92). Using the Youden index, the authors determined RV GLS ≥-19.95% as the diagnostic criterion of ARVC. In patients diagnosed with borderline ARVC according to revised Task Force Criteria but with no or only minor CMR criteria, there were >50% presenting with impaired RV GLS. When both conventional criteria and RV GLS were considered together, this new diagnostic method demonstrated an overall diagnostic accuracy of 90%. The likelihood ratio test showed a significant incremental diagnostic value of RV GLS (P=0.02) over the existing CMR major criteria. CONCLUSIONS: The current study showed an improved diagnostic accuracy when both RV GLS and the existing CMR criteria were considered together, especially for patients with borderline diagnosis, suggesting the incremental value of strain analysis to the initial assessment of ARVC.


Assuntos
Displasia Arritmogênica Ventricular Direita , Humanos , Displasia Arritmogênica Ventricular Direita/diagnóstico por imagem , Estudos Retrospectivos , Valor Preditivo dos Testes , Imageamento por Ressonância Magnética , Ventrículos do Coração , Imagem Cinética por Ressonância Magnética/métodos
2.
J Cardiovasc Magn Reson ; 25(1): 76, 2023 Dec 07.
Artigo em Inglês | MEDLINE | ID: mdl-38057892

RESUMO

BACKGROUND: Despite the use of cardiovascular magnetic resonance (CMR) feature tracking (FT) imaging to detect myocardial deformation, the optimal strain index in dilated cardiomyopathy (DCM) is unclear. This study aimed to determine whether atrial and biventricular strains can provide the greatest or joint incremental prognostic value in patients with DCM over a long follow-up period. METHODS: Four hundred-twelve DCM patients were included retrospectively. Comprehensive clinical evaluation and imaging investigations were obtained, including measurements of CMR-FT derived left atrial (LA) reservoir, conduit, booster strain (εs, εe, εa); left ventricular (LV) and right ventricular (RV) global longitudinal, radial, circumferential strain (GLS, GRS, GCS). All patients were followed up for major adverse cardiac events (MACE) including all-cause mortality, heart transplantation, and implantable cardioverter defibrillator discharge. The predictors of MACE were examined with univariable and multivariable Cox regression analysis. Subsequently, nested Cox regression models were built to evaluate the incremental prognostic value of strain parameters. The incremental predictive power of strain parameters was assessed by Omnibus tests, and the model performance and discrimination were evaluated by Harrell C-index and integrated discrimination improvement (IDI) analysis. Patient survival was illustrated by Kaplan-Meier curves and differences were evaluated by log-rank test. RESULTS: During a median follow-up of 5.0 years, MACE were identified in 149 (36%) patients. LAεe, LVGLS, and RVGLS were the most predictive strain parameters for MACE (AUC: 0.854, 0.733, 0.733, respectively). Cox regression models showed that the predictive value of LAεe was independent from and incremental to LVGLS, RVGLS, and baseline variables (HR 0.74, 95% CI 0.68-0.81, P < 0.001). In reclassification analysis, the addition of LAεe provided the best discrimination of the model (χ2 223.34, P < 0.001; C-index 0.833; IDI 0.090, P < 0.001) compared with LVGLS and RVGLS models. Moreover, LAεe with a cutoff of 5.3% further discriminated the survival probability in subgroups of patients with positive LGE or reduced LVEF (all log-rank P < 0.001). CONCLUSION: LAεe provided the best prognostic value over biventricular strains and added incremental value to conventional clinical predictors for patients with DCM.


Assuntos
Cardiomiopatia Dilatada , Humanos , Prognóstico , Cardiomiopatia Dilatada/diagnóstico por imagem , Cardiomiopatia Dilatada/terapia , Estudos Retrospectivos , Imagem Cinética por Ressonância Magnética/métodos , Valor Preditivo dos Testes , Função Ventricular Esquerda , Volume Sistólico
3.
Int J Cardiol ; 390: 131136, 2023 11 01.
Artigo em Inglês | MEDLINE | ID: mdl-37356732

RESUMO

OBJECTIVES: To develop and validate a novel nomogram score to predict outcomes in patients with nonischemic dilated cardiomyopathy (NIDCM) over a long follow-up period. METHODS: A total of 335 consecutive NIDCM patients who underwent cardiac magnetic resonance (CMR) imaging were retrospectively enrolled. Comprehensive clinical evaluation and imaging investigation were obtained, including measurements of late gadolinium enhancement (LGE) and feature tracking (FT) images. All patients were followed up for a composite endpoint of major adverse cardiac events (MACE) including all-cause mortality and heart transplantation. These patients were randomly divided into development and validation cohorts (7:3). RESULTS: MACE occurred in 87 (37.2%) out of 234 patients in the development cohort, and in 31 (30.7%) out of 101 patients in the validation cohort. Five variables including NYHA class III-IV, NT-proBNP, beta-blocker medication, LGE presence, and LV global longitudinal strain (GLS) were found to be significantly associated with MACE and were used for constructing the nomogram. The nomogram achieved good discrimination with C-indexes in development and validation cohorts respectively. The calibration curve for 1-, 3-, and 5-year survival probability also showed high coherence between the predicted and actual probability of MACE. Decision curve analysis identified the model was significantly better net benefit in predicting MACE. CONCLUSION: A novel nomogram score of a predictive model that incorporates clinical factors and imaging features was constructed, which could be conveniently used to facilitate risk evaluation in patients with NIDCM.


Assuntos
Cardiomiopatia Dilatada , Humanos , Cardiomiopatia Dilatada/diagnóstico por imagem , Meios de Contraste , Nomogramas , Estudos Retrospectivos , Função Ventricular Esquerda , Imagem Cinética por Ressonância Magnética/métodos , Volume Sistólico , Prognóstico , Gadolínio , Valor Preditivo dos Testes
5.
J Magn Reson Imaging ; 57(6): 1766-1775, 2023 06.
Artigo em Inglês | MEDLINE | ID: mdl-36200627

RESUMO

BACKGROUND: Although intravoxel incoherent motion (IVIM) MRI has emerged as an in vivo marker of tissue diffusion and perfusion, its prognostic value in patients with hypertrophic cardiomyopathy (HCM) remains unclear. PURPOSE: To investigate whether IVIM-MRI derived parameters are associated with outcomes in patients with HCM. STUDY TYPE: Prospective cohort. SUBJECTS: A total of 112 patients (51.72 ± 17.13 years) with suspected or known HCM. FIELD STRENGTH/SEQUENCE: Single-shot echo planar IVIM imaging, balanced steady-state free precession, and phase-sensitive inversion-recovery late gadolinium enhancement (LGE) sequences at 3 T. ASSESSMENT: All patients were followed up of 29.3 ± 12.3 months for combined major adverse cardiac events (MACE) including cardiac death, aborted sudden death, heart transplantation, and rehospitalization for heart failure. The CVI42 imaging platform was used to assess morphological and functional MRI indices and to quantify LGE. The Body Diffusion Toolbox was used to derive pseudo diffusion (D*), water molecular diffusion (D) and perfusion fraction (f). STATISTICAL TESTS: Univariable and stepwise multivariable Cox model analyses were used to investigate the association between variables and composite endpoints. Kaplan-Meier curves were constructed to assess event-free survival, and the event rates were compared by the log-rank test. RESULTS: A total of 19 patients reached endpoints. Patients with MACE showed a significantly impaired D* value, lower f value, and more extensive LGE than those without MACE (all, P < 0.05), while there was no significant difference in D value (P = 0.285). In the Cox regression models, D* value (hazard ratio [HR] 0.93; 95% CI: 0.88-0.98) and f value (HR 0.65; 95% CI: 0.45-0.92) were independent predictors for MACE. Moreover, in Kaplan-Meier survival analysis, the incidence of MACE was significantly higher in patients with decreased D* value and f value. CONCLUSIONS: Impaired D* and f values derived from IVIM-MRI are associated with adverse outcomes in patients with HCM. LEVEL OF EVIDENCE: 2 TECHNICAL EFFICACY STAGE: 2.


Assuntos
Cardiomiopatia Hipertrófica , Meios de Contraste , Humanos , Estudos Prospectivos , Gadolínio , Imageamento por Ressonância Magnética/métodos , Cardiomiopatia Hipertrófica/diagnóstico por imagem , Movimento (Física) , Imagem de Difusão por Ressonância Magnética
6.
J Cardiol Cases ; 22(6): 283-285, 2020 Dec.
Artigo em Inglês | MEDLINE | ID: mdl-33304422

RESUMO

The purpose of this case report is to describe the multimodal cardiac magnetic resonance (CMR) imaging features of an invasive thymoma extending into the superior vena cava and right atrium. This unusual case indicates that multimodal CMR can not only reveal the morphological features of thymoma but also enable the identification of histological types, which provides a reasonable surgical plan in the perioperative management. .

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