ABSTRACT
Resumo Fundamento: Fibrose cardíaca difusa é fator importante na avaliação prognóstica dos pacientes com disfunção ventricular. Mapeamento T1 nativo pela ressonância magnética cardíaca (RMC) apresenta elevada sensibilidade e é considerado preditor independente de mortalidade por todas as causas e desenvolvimento de insuficiência cardíaca (IC) nos pacientes com cardiomiopatia. Objetivos: Avaliar aplicabilidade da avaliação com mapa T1 nativo em pacientes com IC em um hospital de referência de cardiologia e sua associação com parâmetros estruturais e perfil funcional. Métodos: Estudo transversal com pacientes adultos com IC classes funcionais NYHA I e II, isquêmicos e não isquêmicos, acompanhados em hospital de referência, que realizaram RMC. Os valores de T1 nativo foram analisados em relação a parâmetros estruturais, comorbidades, etiologia e categorização da IC pela fração de ejeção do ventrículo esquerdo (FEVE). Análises foram realizadas com nível de significância de 5%. Resultados: Analisados 134 pacientes. Valores de T1 nativo elevados foram encontrados em pacientes com maior dilatação (1004,9 vs 1042,7ms, p=0,001), volume (1021,3 vs 1050,3ms, p<0,01) e disfunção ventricular (1010,1 vs 1053,4ms, p<0,001), mesmo quando analisados isoladamente os não isquêmicos. Pacientes classificados com IC com fração de ejeção reduzida apresentaram maiores valores T1 em relação aos com IC e fração de ejeção preservada (ICFEP) (992,7 vs 1054,1ms, p<0,001). Dos com ICFEP, 55,2% apresentavam T1 elevado. Conclusões: Mapeamento T1 por RMC é factível para avaliação da IC clínica. Houve associação direta entre maior valor nativo de T1 e menor fração de ejeção, maiores diâmetros e volumes do VE, independentemente da etiologia da IC.
Abstract Background: Diffuse cardiac fibrosis is an important factor in the prognostic assessment of patients with ventricular dysfunction. Cardiovascular magnetic resonance imaging (CMR) native T1 mapping is highly sensitive and considered an independent predictor of all-cause mortality and heart failure (HF) development in patients with cardiomyopathy. Objectives: To evaluate the feasibility of native T1 mapping assessment in patients with HF in a cardiology referral hospital and its association with structural parameters and functional profile. Methods: Cross-sectional study with adult patients with HF NYHA functional classes I and II, ischemic and non-ischemic, followed in a referral hospital, who underwent CMR. Native T1 values were analyzed for structural parameters, comorbidities, etiology, and categorization of HF by left ventricular ejection fraction (LVEF). Analyses were performed with a significance level of 5%. Results: Enrollment of 134 patients. Elevated native T1 values were found in patients with greater dilation (1004.9 vs 1042.7ms, p = 0.001), ventricular volumes (1021.3 vs 1050.3ms, p <0.01) and ventricular dysfunction (1010.1 vs 1053.4ms, p <0.001), also present when the non-ischemic group was analyzed separately. Patients classified as HF with reduced ejection fraction had higher T1 values than those with HF and preserved ejection fraction (HFPEF) (992.7 vs 1054.1ms, p <0.001). Of those with HFPEF, 55.2% had higher T1. Conclusions: CMR T1 mapping is feasible for clinical HF evaluation. There was a direct association between higher native T1 values and lower ejection fraction, and with larger LV diameters and volumes, regardless of the etiology of HF.
Subject(s)
Humans , Adult , Heart Failure/diagnostic imaging , Referral and Consultation , Stroke Volume , Cross-Sectional Studies , Predictive Value of Tests , Ventricular Function, Left , Magnetic Resonance Imaging, Cine , MyocardiumABSTRACT
Resumo Fundamento A quantificação não invasiva da reserva fracionada de fluxo miocárdico (FFR TC ) através de software baseado em inteligência artificial em versão mais atualizada e tomógrafo de última geração (384 cortes) apresenta elevada performance na detecção de isquemia coronariana. Objetivos Avaliar o desempenho diagnóstico da FFR TC na detecção de doença arterial coronariana (DAC) significativa em relação ao FFRi, em tomógrafos de gerações anteriores (128 e 256 cortes). Métodos Estudo retrospectivo com pacientes encaminhados à angiotomografia de artérias coronárias (TCC) e cateterismo (FFRi). Foram utilizados os tomógrafos Siemens Somatom Definition Flash (256 cortes) e AS+ (128 cortes). A FFR TC e a área luminal mínima (ALM) foram avaliadas em software (cFFR versão 3.0.0, Siemens Healthineers, Forchheim, Alemanha). DAC obstrutiva foi definida como TCC com redução luminal ≥50% e DAC funcionalmente obstrutiva como FFRi ≤0,8. Todos os valores de p reportados são bicaudais; e quando <0,05, foram considerados estatisticamente significativos. Resultados Noventa e três pacientes consecutivos (152 vasos) foram incluídos. Houve boa concordância entre FFR TC e FFRi, com mínima superestimação da FFR TC (viés: -0,02; limites de concordância: 0,14 a 0,09). Diferentes tomógrafos não modificaram a relação entre FFR TC e FFRi (p para interação = 0,73). A FFR TC demonstrou performance significativamente superior à classificação visual de estenose coronariana (AUC 0,93 vs. 0,61, p <0,001) e à ALM (AUC 0,93 vs. 0,75, p <0,001) reduzindo o número de casos falso-positivos. O melhor ponto de corte para a FFR TC utilizando um índice de Youden foi de 0,85 (sensiblidade, 87%; especificidade, 86%; VPP, 73%; NPV, 94%), com redução de falso-positivos. Conclusão FFR TC baseada em inteligência artificial, em tomógrafos de gerações anteriores (128 e 256 cortes), apresenta boa performance diagnóstica na detecção de DAC, podendo ser utilizada para reduzir procedimentos invasivos.
Abstract Background The non-invasive quantification of the fractional flow reserve (FFRCT) using a more recent version of an artificial intelligence-based software and latest generation CT scanner (384 slices) may show high performance to detect coronary ischemia. Objectives To evaluate the diagnostic performance of FFRCT for the detection of significant coronary artery disease (CAD) in contrast to invasive FFR (iFFR) using previous generation CT scanners (128 and 256- detector rows). Methods Retrospective study with patients referred to coronary artery CT angiography (CTA) and catheterization (iFFR) procedures. Siemens Somatom Definition Flash (256-detector rows) and AS+ (128-detector rows) CT scanners were used to acquire the images. The FFRCT and the minimal lumen area (MLA) were evaluated using a dedicated software (cFFR version 3.0.0, Siemens Healthineers, Forchheim, Germany). Obstructive CAD was defined as CTA lumen reduction ≥ 50%, and flow-limiting stenosis as iFFR ≤0.8. All reported P values are two-tailed, and when <0.05, they were considered statistically significant. Results Ninety-three consecutive patients (152 vessels) were included. There was good agreement between FFRCT and iFFR, with minimal FFRCT overestimation (bias: -0.02; limits of agreement:0.14-0.09). Different CT scanners did not modify the association between FFRCT and FFRi (p for interaction=0.73). The performance of FFRCT was significantly superior compared to the visual classification of coronary stenosis (AUC 0.93vs.0.61, p<0.001) and to MLA (AUC 0.93vs.0.75, p<0.001), reducing the number of false-positive cases. The optimal cut-off point for FFRCT using a Youden index was 0.85 (87% Sensitivity, 86% Specificity, 73% PPV, 94% NPV), with a reduction of false-positives. Conclusion Machine learning-based FFRCT using previous generation CT scanners (128 and 256-detector rows) shows good diagnostic performance for the detection of CAD, and can be used to reduce the number of invasive procedures.
Subject(s)
Humans , Coronary Artery Disease , Coronary Stenosis , Fractional Flow Reserve, Myocardial , Severity of Illness Index , Artificial Intelligence , Tomography, X-Ray Computed , Predictive Value of Tests , Retrospective Studies , Coronary Angiography , Constriction, Pathologic , Coronary Vessels , Machine Learning , Computed Tomography AngiographySubject(s)
Humans , Male , Female , Atherosclerosis , Mesenteric Artery, Inferior , Risk Factors , Collateral Circulation , Mesenteric Ischemia/diagnosis , PatientsABSTRACT
Carcinoid tumors are rare malignancies able to spread and produce bioactive humoral products, mainly serotonin, which is responsible for the Carcinoid Syndrome (CS); its features are: flushing, diarrhea, bronchospasm and valvular heart disease. The Carcinoid Heart Disease (CHD) importantly worsens prognosis and it is found in up to 50% of patients with CS. After being produced by liver implants, serotonin finds its way straight into the right heart cavities, leading to valve tissue aggression and ventricular dysfunction. Early CHD diagnosis is still a challenge due to the asymptomatic initial stage, until right heart failure develops along with ascites, swelling and hepatomegaly. Echocardiography is still the main tool for diagnosis, especially due to its ability to appropriately evaluate ventricular and valve function, cardiac morphology and hemodynamics. Tricuspid regurgitation, pulmonic stenosis and dilated cardiomyopathy are the main impairments found in CHD. Magnetic resonance imaging has also developed well in this field, and it is now believed to be essential, due to accurate right cavities evaluation and fibrosis detection. For better prognosis, early diagnosis must be pursued, which has impact on clinical management and valve repair surgical decision.