CESAR HIGA NOMURA

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Instituto do Coração, Hospital das Clínicas, Faculdade de Medicina
LIM/44 - Laboratório de Ressonância Magnética em Neurorradiologia, Hospital das Clínicas, Faculdade de Medicina
LIM/65, Hospital das Clínicas, Faculdade de Medicina - Líder

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  • article 0 Citação(ões) na Scopus
    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
    The Release of Cardiac Necrosis Biomarkers in Patients Without Myocardial Infarction After On-Pump Surgical Revascularization. A Study of Cardiac Magnetic Resonance Imaging
    (2016) OIKAWA, Fernando T.; HUEB, Whady; COSTA, Leandro M.; MELO, Rodrigo M. Vieira de; REZENDE, Paulo C.; GARZILLO, Cibele L.; LIMA, Eduardo G.; NOMURA, Cesar H.; VILLA, Alexandre V.; HUEB, Alexandre C.; RAMIRES, Jose A.; KALIL FILHO, Roberto
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    Post-Operative Prognostic Prediction of Different Myocardial Fibrosis Measures in Severe Aortic Valvular Heart Disease
    (2020) PIRES, Lucas J.; ROSA, Vitor E.; MORAIS, Thamara C.; SANTIS, Antonio S. de; FERNANDES, Joao Ricardo C.; BOER, Berta P.; ROSSI, Eduardo; LAVITOLA, Paulo D.; ROCHITTE, Carlos E.; NOMURA, Cesar H.; POMERANTZEFF, Pablo M.; TARASOUTCHI, Flavio
  • article 16 Citação(ões) na Scopus
    Is there a consistent association between coronary heart disease and ischemic stroke caused by intracranial atherosclerosis?
    (2013) CONFORTO, Adriana B.; LEITE, Claudia da Costa; NOMURA, Cesar H.; BOR-SENG-SHU, Edson; SANTOS, Raul D.
    Coronary heart disease and ischemic stroke are frequent coexistent conditions that share risk factors and pose major burdens to global health. Even though a clear relation has been established between extracranial internal carotid artery atherosclerosis and symptomatic or asymptomatic coronary heart disease, there is a gap in knowledge about the association between intracranial atherosclerosis and coronary heart disease. Intracranial atherosclerosis is associated with high risks of stroke recurrence and vascular death. More research and clinical trials are needed to answer whether early diagnosis of asymptomatic coronary heart disease and aggressive treatment can decrease the risk of vascular death in patients with ischemic stroke caused by intracranial atherosclerosis.
  • article 1 Citação(ões) na Scopus
    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.
  • conferenceObject
    Training, Simulation and Validation of Therapeutic Hypothermia as an Adjuvant Treatment in St Segment Elevation Myocardial Infarction
    (2018) DALLAN, Luis Augusto; RIBEIRO, Marcelo; GIANNETTI, Natali; ROCHITTE, Carlos; NOMURA, Cesar H.; HAJJAR, Ludhmila A.; BERNOCHE, Claudia Y.; LAGE, Silvia G.; NICOLAU, Jose Carlos; OLIVEIRA, Mucio T.; POLASTRI, Thatiane F.; RIBEIRO, Expedito E.; KALIL FILHO, Roberto; LEMOS NETO, Pedro A.; TIMERMAN, Sergio
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    Cardiac Motion Estimation using Pyramid, Warping, and Cost Volume Neural Network
    (2021) GRAVES, Catharine V.; MORENO, Ramon A.; REBELO, Marina F. S.; BORDIGNOM, Adriano; NOMURA, Cesar H.; GUTIERREZ, Marco A.
    Cardiac motion quantification in magnetic resonance (MR) images provides vital information to diagnose and evaluate cardiovascular diseases. Motion quantification can be obtained from routinely acquired MR images. However, the methods available for motion estimation present many sources of inconsistencies, thus creating constraints to use it as a reliable diagnostic technique. Recently, convolutional neural networks (CNNs) have demonstrated to be a powerful tool for many different imaging tasks, including optical flow estimation, a technique widely used for motion estimation. In this work, we evaluate the suitability of a compact and powerful CNN architecture based on Pyramid, Warping, and Cost Volume (PWC) for motion estimation in synthetic cardiac resonance images. The synthetic images were generated using the extended cardiac-torso (XCAT) and MRXCAT software, which generates temporal series of highly detailed MR images and their corresponding ground-truth motion field, which would be impossible to obtain in real-life data. The CNN training was unsupervised, simulating real data. The ground-truth provided by the synthetic images was used to evaluate the PWC performance, determining its reliability. The CNN achieved an average end-point-error of 0.61 +/- 0.25 pixel and a mean absolute error of 0.38 +/- 0.15 pixel in the test set, surpassing state-of-the-art methods. The results obtained in this work indicate a high potential of the unsupervised PWC network for future applications in real cardiac images.
  • article 36 Citação(ões) na Scopus
    Myocardial T1 mapping and extracellular volume quantification in patients with left ventricular non-compaction cardiomyopathy
    (2018) ARAUJO-FILHO, Jose A. B.; ASSUNCAO JR., Antonildes N.; MELO, Marcelo D. Tavares de; BIERE, Loic; LIMA, Camila R.; DANTAS JR., Roberto N.; NOMURA, Cesar H.; SALEMI, Vera M. C.; JEROSCH-HEROLD, Michael; PARGA, Jose R.
    Aims From pathophysiological mechanisms to risk stratification and management, much debate and discussion persist regarding left ventricular non-compaction cardiomyopathy (LVNC). This study aimed to characterize myocardial T1 mapping and extracellular volume (ECV) fraction by cardiovascular magnetic resonance (CMR), and investigate how these biomarkers relate to left ventricular ejection fraction (LVEF) and ventricular arrhythmias (VA) in LVNC. Methods and results Patients with LVNC (n = 36) and healthy controls (n = 18) were enrolled to perform a CMR with T1 mapping. ECV was quantified in LV segments without late gadolinium enhancement (LGE) areas to investigate diffuse myocardial fibrosis. Patients with LVNC had slightly higher native T1 (1024 +/- 43ms vs. 995 +/- 22 ms, P = 0.01) and substantially expanded ECV (28.0 +/- 4.5% vs. 23.5 +/- 2.2%, P < 0.001) compared to controls. The ECV was independently associated with LVEF (beta = -1.3, P = 0.001). Among patients without LGE, VAs were associated with higher ECV (27.7% with VA vs. 25.8% without VA, P = 0.002). Conclusion In LVNC, tissue characterization by T1 mapping suggests an extracellular expansion by diffuse fibrosis in myocardium without LGE, which was associated with myocardial dysfunction and VA, but not with the amount of noncompacted myocardium.
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    Biomarkers Release After Percutaneous Coronary Intervention in Patients Without Definitive Miocardial Infarction Assessed by Cardiac Magnetic Ressonance With Late Gadolinium Enhancement. a Prospective Trial Using the Third Universal Definition of Myocardial Infarction
    (2014) MELO, Rodrigo M. Vieira de; OIKAWA, Fernando T.; COSTA, Leandro M.; REZENDE, Paulo C.; SCUDELER, Thiago L.; NOMURA, Cesar H.; VILLA, Alexandre V.; HUEB, Alexandre C.; HUEB, Whady; KALIL FILHO, Roberto
  • article 3 Citação(ões) na Scopus
    Postoperative myocardial fibrosis assessment in aortic valvular heart diseases-a cardiovascular magnetic resonance study
    (2023) PIRES, Lucas T.; ROSA, Vitor E. E.; MORAIS, Thamara C.; BELLO, Juliana H. S. M.; FERNANDES, Joao R. C.; SANTIS, Antonio de; LOPES, Mariana P.; GUTIERREZ, Paulo S.; ROCHITTE, Carlos E.; NOMURA, Cesar H.; POMERANTZEFF, Pablo M. A.; SAMPAIO, Roney O.; TARASOUTCHI, Flavio
    Aims Left ventricular remodelling occurs during the chronic course of aortic regurgitation (AR) and aortic stenosis (AS), leading to myocardial hypertrophy and fibrosis. Several studies have shown that extracellular volume fraction (ECV) and indexed extracellular volume (iECV) are important surrogate markers of diffuse myocardial fibrosis (MF). Postoperative data on these cardiovascular magnetic resonance (CMR) extracellular expansion parameters for either AS or AR are scarce. This study aimed to demonstrate the postoperative changes that occur in diffuse MF, and the influence of preoperative MF on the reversal of LV remodelling, in patients with AR or AS. Methods and results Patients with severe AR or AS and indications for surgery were prospectively enrolled. Patients underwent pre- and postoperative CMR, and ECV and iECV were quantified. Data from 99 patients were analysed (32 with AR and 67 with AS). After surgery, the left ventricle mass index decreased in both groups (AR: 110 vs. 91 g/m(2); AS: 86 vs. 68 g/m(2), both P < 0.001). The late gadolinium enhancement fraction (AR: preoperative 1.9% vs. postoperative 1.7%, P = 0.575; AS: preoperative 2.4% vs. postoperative 2.4%, P = 0.615) and late gadolinium enhancement mass (AR: preoperative 3.8 g vs. postoperative 2.5 g, P = 0.635; AS: preoperative 3.4 g vs. postoperative 3.5 g, P = 0.575) remained stable in both groups. Preoperative iECV and ECV were greater in the AR group (iECV: 30 mL/m(2) vs. 22 mL/m(2), P = 0.001; ECV: 28.4% vs. 27.2%, P = 0.048). Indexed extracellular volume decreased after surgery in both groups (AR: 30-26.5 mL/m(2), AS: 22-18.2 mL/m(2), both P < 0.001); it was still greater in the AR group (AR: 26.5 mL/m(2) vs. AS: 18.2 mL/m(2), P < 0.001). Postoperative ECV remained stable in the AR group (preoperative 28.4% vs. postoperative 29.9%; P = 0.617) and increased in the AS group (preoperative 27.2% vs. postoperative 28.6%; P = 0.033). Conclusion Patients with both AR or AS presented reduction in iECV after surgery, unfolding the reversible nature of diffuse MF. In contrast to patients with AS, those with AR developed postoperative iECV regression with stable ECV, suggesting a balanced reduction in both intracellular and extracellular myocardial components.