A5024475805- Glioma Diagnosis and Treatment
- Radiomics and Machine Learning in Medical Imaging
- Advanced MRI Techniques and Applications
- Advanced Electron Microscopy Techniques and Applications
- Functional Brain Connectivity Studies
- MRI in cancer diagnosis
- Parasites and Host Interactions
- Parasitic Diseases Research and Treatment
- Parasitic infections in humans and animals
- Brain Metastases and Treatment
- Extracellular vesicles in disease
- Bacterial Infections and Vaccines
- Infectious Encephalopathies and Encephalitis
- Dementia and Cognitive Impairment Research
- Viral Infections and Immunology Research
- Brain Tumor Detection and Classification
- Medical Imaging Techniques and Applications
- Immunotherapy and Immune Responses
- Tuberous Sclerosis Complex Research
- Memory and Neural Mechanisms
- Advanced Neuroimaging Techniques and Applications
- Lanthanide and Transition Metal Complexes
- Ferroptosis and cancer prognosis
- Gestational Trophoblastic Disease Studies
- Maternal and fetal healthcare
University of Pennsylvania
2022-2025
California University of Pennsylvania
2023-2024
Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo
2019-2023
National Hospital for Neurology and Neurosurgery
2020-2023
University College London
2020-2023
Fleury S.A. (Brazil)
2017-2019
This study aimed to investigate the potential of quantitative radiomic data extracted from conventional MR images in discriminating IDH-mutant grade 4 astrocytomas IDH-wild-type glioblastomas (GBMs). A cohort 57 treatment-naïve patients with (n = 23) and GBMs 34) underwent anatomical imaging on a 3T system standard parameters. Post-contrast T1-weighted T2-FLAIR were co-registered. semi-automatic segmentation approach was used generate regions interest (ROIs) different tissue components...
Purpose: Early treatment response assessments are crucial, and the results known to better correlate with prognosis survival outcomes. The present study was conducted differentiate true progression (TP) from pseudoprogression (PsP) in long-term-surviving glioblastoma patients using our previously established multiparametric MRI-based predictive model, as well identify clinical factors impacting outcomes these patients. Methods: We report six that had an overall longer than 5 years. When...
The highly aggressive nature of glioblastoma carries a dismal prognosis despite multimodal therapy. Alternative treatment regimens, such as immunotherapies, are known to intensify the inflammatory response in field. Follow-up imaging these scenarios often mimics disease progression on conventional MRI, making accurate evaluation extremely challenging. To this end, revised criteria for assessment high-grade gliomas were successfully proposed by RANO Working Group distinguish pseudoprogression...
The isocitrate dehydrogenase (IDH) mutation has become one of the most important prognostic biomarkers in glioma management, indicating better treatment response and prognosis. IDH mutations confer neomorphic activity leading to conversion alpha-ketoglutarate (α-KG) 2-hydroxyglutarate (2HG). purpose this study was investigate clinical potential proton MR spectroscopy (1H-MRS) identifying IDH-mutant gliomas by detecting characteristic resonances 2HG its complex interplay with other clinically...
Abstract Background Accurate differentiation of pseudoprogression (PsP) from tumor progression (TP) in glioblastomas (GBMs) is essential for appropriate clinical management and prognostication these patients. In the present study, we sought to validate findings our previously developed multiparametric MRI model a new cohort GBM patients treated with standard therapy identifying PsP cases. Methods Fifty-six demonstrating enhancing lesions within 6 months after completion concurrent...
Purpose
 Isocitrate dehydrogenase (IDH) mutation has become one of the most important prognostic biomarkers in glioma management, indicating better treatment response and prognosis. IDH mutations confer neomorphic activity leading to conversion alpha-ketoglutarate (α-KG) 2-hydroxyglutarate (2HG). The purpose this study was investigate clinical potential proton MR spectroscopy (1H-MRS) identifying IDH-mutant gliomas by detecting characteristic resonances 2HG its complex interplay with...
<h3>BACKGROUND AND PURPOSE:</h3> Superagers are defined as older adults with episodic memory performance similar or superior to that in middle-aged adults. This study aimed investigate the key differences discriminative networks and their main nodes between superagers cognitively average elderly controls. In addition, we sought explore sensitivity detecting these functional activities across at 3T 7T MR imaging fields. <h3>MATERIALS METHODS:</h3> Fifty-five subjects 80 years of age were...
To emphasize the most appropriate magnetic resonance imaging (MRI) diffusion protocol for detection of lesions that cause transient global amnesia, in order to perform an accurate examination, as well determine ideal time point after onset symptoms examination.We evaluated five patients with a diagnosis amnesia treated between 2012 and 2015. We analyzed demographic characteristics, clinical data, symptom onset, techniques, radiological findings. Examination techniques included standard...
Subinvolution of the placental site associated with focal retained products conception and placenta accreta mimicking uterine arteriovenous malformation on CT MRI: a lesson to be learned
Evidence has shown that abnormal iron levels and gliomas are heavily correlated. Due to this, presents a possibility serve as glioma biomarker. This study will utilize susceptibility-weighted imaging (SWI) identify the glioma, quantitative susceptibility mapping (QSM) explicitly classify deposits in on an ultra-high field (7T) scanner. A total of 6 untreated patients with high- low-grade underwent 7T QSM. Patients high-grade showed distinct, geometric did not. These results illustrate QSM...
Patients (n=57) with isocitrate dehydrogenase (IDH) mutant grade-4 astrocytomas and IDH wild-type glioblastomas underwent anatomical imaging (post-contrast T1 T2-FLAIR) on 3T magnet. Neoplasms were segmented into 5 ROIs 105 radiomics features extracted from each ROI. Features subsequently selected using various algorithms. divided two groups (50%-training 50%-testing). A GAN-based deep learning algorithm was used to generate 1000 synthesized data-sets four distinct deep-learning modules...
IDH mutation has become one of the most important prognostic biomarkers in glioma management, regardless histopathological features. The oncometabolite 2HG been proposed as a biomarker for IDH-specific genetic profiles gliomas. We report clinical utility SVS and 1H-MRSI using long TE (97 ms) assessing IDH-mutant gliomas by detecting characteristic resonances 2HG. Our results from 25 patients showed sensitivity specificity 77% 83%, respectively. In conclusion, 1H-MRS with optimized can...
Glioblastoma patients (n=93) exhibiting enhancing lesions within 6 months after completion of standard therapy underwent anatomical imaging, diffusion and perfusion MRI. The median values parameters (MD, FA, CL, CP, CS rCBV) were computed from the regions. O6-methylguanine-DNA-methyltransferase (MGMT) promoter methylation status was available 75 patients. Subsequently, these classified as TP (n=55) or PsP (n=20). data randomly split into training testing sets. best model for differentiating...
<title>Abstract</title> Superagers, older adults with memory performance similar to middle-aged individuals, were studied identify key neural networks responsible for their brain function connectivity. Using a previously published resting-state fMRI (rs-fMRI) dataset from 31 participants (14 superagers and 17 controls) examined at 3 7 Tesla (T) scanners, we cross-validated the findings an Elastic Net regression model using Random Forest algorithm. Important nodes identified based on Mean...
Abstract Background It is imperative to differentiate true progression (TP) from pseudoprogression (PsP) in glioblastomas (GBMs). We sought investigate the potential of physiologically sensitive quantitative parameters derived diffusion and perfusion magnetic resonance imaging (MRI), molecular signature combined with machine learning distinguishing TP PsP GBMs present study. Methods GBM patients (n = 93) exhibiting contrast-enhancing lesions within 6 months after completion standard...
Motivation: Superior longitudinal fasciculus (SLF) is critical in multiple normal functions. It imperative to co-localize white-matter tract of SLF with metabolite maps facilitate simultaneous analysis microstructural integrity and alterations. Goal(s): To evaluate relationships among ratios diffusion MRI derived parameters along the path healthy adults. Approach: The associations between whole brain spectroscopy Cho/Cr, Cho/NAA FA, MD, fICVF, fIso ODI were assessed length segments II-III....
Motivation: Optimal treatment for GBM requires precise targeting of all viable tumor cells, many which are not visible on conventional neuroimaging. Goal(s): We aimed to utilize WBSI identify infiltrating cells in patients selecting a target volume personalized mapping transducer arrays enhanced delivery TTFields. Approach: A mean value choline/NAA was computed from normal mask, and voxels that exceeded two-fold threshold were included 3D-composite mask the region. Results: provided higher...
<h3>BACKGROUND AND PURPOSE:</h3> Youthful memory performance in older adults may reflect an underlying resilience to the conventional pathways of aging. Subjects having this unusual characteristic have been recently termed "superagers." This study aimed explore significance imaging biomarkers acquired by <sup>1</sup>H-MRS characterize superagers and differentiate them from their normal-aging peers. <h3>MATERIALS METHODS:</h3> Fifty-five patients than 80 years age were screened using a...
To investigate the prognostic utility of DTI and DSC-PWI perfusion-derived parameters in brain metastases patients.Retrospective analyses DTI-derived (MD, FA, CL, CP, CS) DSC-perfusion PWI-derived rCBVmax from 101 patients diagnosed with prior to treatment were performed. Using semi-automated segmentation, metrics quantified enhancing areas dominant metastatic lesion. For each metric, classified as short- long-term survivors based on analysis best coefficient for parameter percentile...
Abstract Purpose Autologous tumor lysate-loaded dendritic cell vaccine (DCVax-L) is a promising treatment modality for glioblastomas. The purpose of this study was to investigate the potential utility multiparametric MRI-based prediction model in evaluating response glioblastoma patients treated with DCVax-L. Methods Seventeen standard-of-care therapy + DCVax-L were included. When progression suspected and repeat surgery being contemplated, we sought ascertain number cases correctly...