ANTONILDES NASCIMENTO ASSUNCAO JUNIOR
Projetos de Pesquisa
Unidades Organizacionais
Instituto do Coração, Hospital das Clínicas, Faculdade de Medicina - Médico
LIM/65, Hospital das Clínicas, Faculdade de Medicina
LIM/65, Hospital das Clínicas, Faculdade de Medicina
33 resultados
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- Detection of Early Diffuse Myocardial Fibrosis and Inflammation in Chagas Cardiomyopathy with T1 Mapping and Extracellular Volume(2023) MELO, Rodrigo J. L.; ASSUNCAO, Antonildes N.; MORAIS, Thamara C.; NOMURA, Cesar H.; SCANAVACCA, Mauricio I.; MARTINELLI-FILHO, Martino; RAMIRES, Felix J. A.; FERNANDES, Fabio; IANNI, Barbara M.; MADY, Charles; ROCHITTE, Carlos E.Purpose: To evaluate myocardial T1 mapping and extracellular volume (ECV) parameters in different stages of Chagas cardiomyopathy and determine whether they are predictive of disease severity and prognosis.Materials and Methods: Prospectively enrolled participants (July 2013 to September 2016) underwent cine and late gadolinium enhancement (LGE) cardiac MRI and T1 mapping with a precontrast (native) or postcontrast modified Look-Locker sequence. The native T1 and ECV values were measured among subgroups that were based on disease severity (indeterminate, Chagas cardiomyopathy with preserved ejection fraction [CCpEF], Chagas cardiomyopathy with midrange ejection fraction [CCmrEF], and Chagas cardiomyopathy with reduced ejection fraction [CCrEF]). Cox proportional hazards regression and the Akaike information criterion were used to determine predictors of major cardiovascular events (cardioverter defibrillator implant, heart transplant, or death).Results: In 107 participants (90 participants with Chagas disease [mean age & PLUSMN; SD, 55 years & PLUSMN; 11; 49 men] and 17 age-and sex matched control participants), the left ventricular (LV) ejection fraction and the extent of focal and diffuse or interstitial fibrosis were correlated with disease severity. Participants with CCmrEF and participants with CCrEF showed significantly higher global native T1 and ECV values than participants in the indeterminate, CCpEF, and control groups (T1: 1072 msec & PLUSMN; 34 and 1073 msec & PLUSMN; 63 vs 1010 msec & PLUSMN; 41, 1005 msec & PLUSMN; 69, and 999 msec & PLUSMN; 46; ECV: 35.5% & PLUSMN; 3.6 and 35.0% & PLUSMN; 5.4 vs 25.3% & PLUSMN; 3.5, 28.2% & PLUSMN; 4.9, and 25.2% & PLUSMN; 2.2; both P < .001). Remote (LGE-negative areas) native T1 and ECV values were also higher (T1: 1056 msec & PLUSMN; 32 and 1071 msec & PLUSMN; 55 vs 1008 msec & PLUSMN; 41, 989 msec & PLUSMN; 96, and 999 msec & PLUSMN; 46; ECV: 30.2% & PLUSMN; 4.7 and 30.8% & PLUSMN; 7.4 vs 25.1% & PLUSMN; 3.5, 25.1% & PLUSMN; 3.7, and 25.0% & PLUSMN; 2.2; both P < .001). Abnormal remote ECV values (>30%) occurred in 12% of participants in the indeterminate group, which increased with disease severity. Nineteen combined outcomes were observed (median follow-up time: 43 months), and a remote native T1 value greater than 1100 msec was independently predictive of combined outcomes (hazard ratio, 12 [95% CI: 4.1, 34.2]; P < .001).Conclusion: Myocardial native T1 and ECV values were correlated with Chagas disease severity and may serve as markers of myocardial involvement in Chagas cardiomyopathy that precede LGE and LV dysfunction.
conferenceObject Long-Term Prognosticvalue of Coronary Computed Tomography Scores to Predict Cardiovascular Events: The CORE64 and CORE320 Studies(2018) LIMA, Thais P.; ASSUNCAO JR., Antonildes N.; BITTENCOURT, Marcio S.; LIBERATO, Gabriela; LIMA, Joao A.; ROCHITTE, Carlos E.bookPart Ressonância magnética cardíaca(2018) NAKAMURA, Debora Yuri Moura; ASSUNçãO JR., Antonildes Nascimento; ROCHITTE, Carlos Eduardo- Relation of Quantity of Subepicardial Adipose Tissue to Infarct Size in Patients With ST-Elevation Myocardial Infarction(2017) BIERE, Loic; BEHAGHEL, Vianney; MATEUS, Victor; ASSUNCAO JR., Antonildes; GRANI, Christoph; OUERGHI, Kais; GRALL, Sylvain; WILLOTEAUX, Serge; PRUNIER, Fabrice; KWONG, Raymond; FURBER, AlainAccording to the so-called obesity paradox, obesity might present a protective role in patients with myocardial infarction. We aimed to assess the influence of the epicardial adipose tissue (EAT) volume on cardiac healing and remodeling in patients with acute ST-elevation myocardial infarction. We prospectively included 193 consecutive patients presenting a first STEMI without known coronary artery disease. Cardiac magnetic resonance imaging was performed at baseline and after a 3-month follow-up. EAT volume was computed, and the population was divided into quartiles: the highest quartile of EAT defining the high EAT group (h-EAT). h-EAT was associated with increased body mass index, higher rate of history of hypertension, and smaller infarct size at initial CMR assessment (18.3 +/- 11.9% vs 23 +/- 13.7% of total left ventricular [LV] mass, p = 0.041). Moreover, microvascular obstruction was less frequent in the h-EAT group (36.2% vs 59.3%, p = 0.006). There were no differences in LV ejection fraction (LVEF), LV volumes, systolic wall stress, coronary artery burden, and clinical events during the index hospitalization between the EAT groups at baseline and at follow-up. Linear regression analysis showed h-EAT to be associated with smaller infarct size at baseline (beta coefficient = -3.25 [95% CI -5.89 to -0.61], p = 0.016). h-EAT also modified positively the effect of infarct size on LV remodeling, as assessed by the change in LVEF (p = 0.046). In conclusion, h-EAT was paradoxically related to smaller infarct size and acted as an effect modifier in the relation between the extent of infarct size and LVEF changes. Patients with higher extent of EAT presented better cardiac healing.
- Rare association of endomyocardial fibrosis and Chagas heart disease(2017) HOTTA, Viviane Tiemi; IANNI, Barbara Maria; ASSUNCAO JR., Antonildes Nascimento; PARGA, Jose Rodrigues; MADY, Charles
bookPart Angiotomografia computadorizada de coronárias(2015) ASSUNçãO JR., Antonildes Nascimento; PARGA FILHO, José Rodrigues; NOMURA, César Higa- Siamese pyramidal deep learning network for strain estimation in 3D cardiac cine-MR(2023) GRAVES, Catharine V.; REBELO, Marina F. S.; MORENO, Ramon A.; DANTAS-JR, Roberto N.; JR, Antonildes N. Assuncao; NOMURA, Cesar H.; GUTIERREZ, Marco A.Strain represents the quantification of regional tissue deformation within a given area. Myocardial strain has demonstrated considerable utility as an indicator for the assessment of cardiac function. Notably, it exhibits greater sensitivity in detecting subtle myocardial abnormalities compared to conventional cardiac function indices, like left ventricle ejection fraction (LVEF). Nonetheless, the estimation of strain poses considerable challenges due to the necessity for precise tracking of myocardial motion throughout the complete cardiac cycle. This study introduces a novel deep learning-based pipeline, designed to automatically and accurately estimate myocardial strain from three-dimensional (3D) cine-MR images. Consequently, our investigation presents a comprehensive pipeline for the precise quantification of local and global myocardial strain. This pipeline incorporates a supervised Convolutional Neural Network (CNN) for accurate segmentation of the cardiac muscle and an unsupervised CNN for robust left ventricle motion tracking, enabling the estimation of strain in both artificial phantoms and real cine-MR images. Our investigation involved a comprehensive comparison of our findings with those obtained from two commonly utilized commercial software in this field. This analysis encompassed the examination of both intra- and inter-user variability. The proposed pipeline exhibited demonstrable reliability and reduced divergence levels when compared to alternative systems. Additionally, our approach is entirely independent of previous user data, effectively eliminating any potential user bias that could influence the strain analyses.
bookPart Ressonância magnética cardíaca(2015) NAKAMURA, Debora Yuri Moura; ASSUNçãO JR., Antonildes Nascimento; ROCHITTE, Carlos Eduardo- Myocardial perfusion in patients with suspected coronary artery disease: comparison between 320-MDCT and rubidium-82 PET(2018) DANTAS JR., Roberto Nery; ASSUNCAO JR., Antonildes Nascimento; MARQUES FILHO, Ismar Aguiar; FAHEL, Mateus Guimaraes; NOMURA, Cesar Higa; AVILA, Luiz Francisco Rodrigues; GIORGI, Maria Clementina Pinto; SOARES JR., Jose; MENEGHETTI, Jose Claudio; PARGA, Jose RodriguesDespite advances in non-invasive myocardial perfusion imaging (MPI) evaluation, computed tomography (CT) multiphase MPI protocols have not yet been compared with the highly accurate rubidium-82 positron emission tomography ((RbPET)-Rb-82) MPI. Thus, this study aimed to evaluate agreement between (RbPET)-Rb-82 and 320-detector row CT (320-CT) MPI using a multiphase protocol in suspected CAD patients. Forty-four patients referred for MPI evaluation were prospectively enrolled and underwent dipyridamole stress (RbPET)-Rb-82 and multiphase 320-CT MPI (five consecutive volumetric acquisitions during stress). Statistical analyses were performed using the R software. There was high agreement for recognizing summed stress scores 4 (kappa 0.77, 95% CI 0.55-0.98, p < 0.001) and moderate for detecting SDS 2 (kappa 0.51, 95% CI 0.23-0.80, p < 0.001). In a per segment analysis, agreement was high for the presence of perfusion defects during stress and rest (kappa 0.75 and 0.82, respectively) and was moderate for impairment severity (kappa 0.58 and 0.65, respectively). The 320-CT protocol was safe, with low radiation burden (9.3 +/- 2.4 mSv). There was a significant agreement between dipyridamole stress 320-CT MPI and (RbPET)-Rb-82 MPI in the evaluation of suspected CAD patients of intermediate risk. The multiphase 320-CT MPI protocol was feasible, diagnostic and with relatively low radiation exposure. aEuro cent Rubidium-82 PET and 320-MDCT can perform MPI studies for CAD investigation. aEuro cent There is high agreement between rubidium-82 PET and 320-MDCT for MPI assessment. aEuro cent Multiphase CT perfusion protocols are feasible and with low radiation. aEuro cent Multiphase CT perfusion protocols can identify image artefacts.
- Automated Computed Tomography Lung Densitometry in Bronchiectasis Patients(2022) SAWAMURA, Marcio Valente Yamada; ATHANAZIO, Rodrigo Abensur; NUCCI, Maria Cecilia Nieves Teixeira Maiorano de; RACHED, Samia Zahi; CUKIER, Alberto; STELMACH, Rafael; ASSUNCAO- JR., Antonildes Nascimento; TAKAHASHI, Marcelo Straus; NOMURA, Cesar Higa