A5039557743- MRI in cancer diagnosis
- Radiomics and Machine Learning in Medical Imaging
- Advanced Neuroimaging Techniques and Applications
- Occupational and environmental lung diseases
- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
- Breast Lesions and Carcinomas
- Pleural and Pulmonary Diseases
- COVID-19 diagnosis using AI
- Colorectal Cancer Surgical Treatments
- Botulinum Toxin and Related Neurological Disorders
- Neonatal Health and Biochemistry
- Lysosomal Storage Disorders Research
- Atomic and Subatomic Physics Research
- Neonatal and fetal brain pathology
- Chronic Obstructive Pulmonary Disease (COPD) Research
- Breast Cancer Treatment Studies
- Cellular transport and secretion
- Lung Cancer Diagnosis and Treatment
- Breast Implant and Reconstruction
- Cerebral Palsy and Movement Disorders
- Trypanosoma species research and implications
Mansoura University
2018-2024
The primary objective of this paper is to develop a machine learning-based approach capable predicting the treatment response neoadjuvant chemotherapy (NAC) enhance breast cancer management. proposed system aims predict NAC outcomes across three categories: pathological complete (CR), partial (PR), and stable disease (SD), by analyzing multimodal magnetic resonance images with clinical molecular subtype markers. To ensure comprehensiveness our design, texture radiomics were extracted from...
The primary goal of this manuscript is to develop a computer assisted diagnostic (CAD) system assess pulmonary function and risk mortality in patients with coronavirus disease 2019 (COVID-19). CAD processes chest X-ray data provides accurate, objective imaging markers assist the determination higher death thus are more likely require mechanical ventilation and/or intensive clinical care.To obtain an accurate stochastic model that has ability detect severity lung infection, we second-order...
Abstract Purpose To assess the role of diffusion tensor imaging in assessing liver and splenic parenchymal infiltration Gaucher’s disease (G.D.) type I III before after therapy. Methods A prospective study was conducted upon 28 consecutive patients with G.D. age sex-matched controls. They underwent an MRI DTI spleen. Mean diffusivity (M.D.) fractional anisotropy (F.A.) values spleen were evaluated treatment compared control. Results There a statistically significant difference M.D. value...
The purpose of this study is to evaluate the role MR diffusion imaging (DWI) and apparent coefficient (ADC) measurement solid cystic mediastinal masses differentiate benign from malignant lesions. included 52 patients with underwent conventional MRI DWI (b value 0, 500 1000 s/mm2) examinations 1.5-T MRI. signal intensity lesions ADC values were obtained. Statistical analyses performed Mann-Whitney U test (z), Pearson’s chi-square receiver operating characteristic (ROC) analysis. 29 23...
Abstract Background Aphasia complicating stroke occurs due to language deficits that decrease communication abilities and functional independence. Our study aims assess fractional anisotropy (FA) mean diffusivity (MD) parameters of diffusion tensor imaging (DTI) the dorsal stream areas in patients with post-stroke aphasia. It was conducted on 27 aphasia age- sex-matched controls who underwent DTI brain. FA MD values Broca's area (BA), Wernick's (WA), superior longitudinal fasciculus (SLF),...
Abstract Background The purpose of this study was to evaluate diagnostic performance dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) and functional MRI (diffusion MR spectroscopy) using the latest breast reporting data system (MRI-BIRADS) descriptors non-BIRADS items for differentiation mucinous carcinomas from fibroadenomas. Methods We included 19 cases carcinoma 37 fibroadenoma. DCE-MRI, Diffusion-weighted (DWI) multi-voxel spectroscopy (MRS) were done, MRI-BIRADS (5th...
The aim of this study is to demonstrate the role proton magnetic resonance spectroscopy (1H-MRS) in detection brain microstructural changes patients with Crigler-Najjar syndrome type-I (CNs-I), and its correlation demographic, neurodevelopmental laboratory findings.