A5051143148- MRI in cancer diagnosis
- Radiomics and Machine Learning in Medical Imaging
- Renal cell carcinoma treatment
- Advanced Neuroimaging Techniques and Applications
- Advanced X-ray and CT Imaging
- Glioma Diagnosis and Treatment
- Advanced MRI Techniques and Applications
- Fetal and Pediatric Neurological Disorders
- Musculoskeletal synovial abnormalities and treatments
- Vascular Procedures and Complications
- Congenital Anomalies and Fetal Surgery
- Hepatocellular Carcinoma Treatment and Prognosis
- Urological Disorders and Treatments
- Sarcoma Diagnosis and Treatment
- Central Venous Catheters and Hemodialysis
- Ovarian cancer diagnosis and treatment
- Venous Thromboembolism Diagnosis and Management
- Bone Tumor Diagnosis and Treatments
- AI in cancer detection
- Systemic Sclerosis and Related Diseases
- Appendicitis Diagnosis and Management
- Bone and Joint Diseases
- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
- Tracheal and airway disorders
- Vascular anomalies and interventions
Sağlık Bilimleri Üniversitesi
2019-2025
İstanbul Başakşehir Çam ve Sakura Şehir Hastanesi
2020-2025
Acıbadem Kadıköy Hospital
2025
Istanbul Metropolitan Municipality
2021-2025
University of Health Sciences Antigua
2025
Eskişehir City Hospital
2020-2024
Gelişim Üniversitesi
2021
Farabi Hastanesi
2019
Kocaeli Üniversitesi
2019
Yeditepe University
2008-2016
OBJECTIVE. The purpose of this study is to investigate the predictive performance machine learning (ML)-based unenhanced CT texture analysis in distinguishing low (grades I and II) high III IV) nuclear grade clear cell renal carcinomas (RCCs). MATERIALS AND METHODS. For retrospective study, 81 patients with RCC (56 25 grade) were included from a public database. Using 2D manual segmentation, 744 features extracted images. Dimension reduction was done three consecutive steps: reproducibility...
OBJECTIVE. The objective of our study was to investigate the potential influence intra- and interobserver manual segmentation variability on reliability single-slice-based 2D CT texture analysis renal masses. MATERIALS AND METHODS. For this retrospective study, 30 patients with clear cell carcinoma were included from a public database. analyses, three radiologists varying degrees experience segmented tumors unenhanced corticomedullary phase contrast-enhanced (CECT) in different sessions....
Magnetic resonance (MR) imaging has been established as the best modality for detection, localization, and staging of uterine cancers. Recently, usefulness diffusion-weighted (DWI) in diagnosis cancers reported several studies.To calculate apparent diffusion coefficient (ADC) values normal zones well benign malignant diseases, to determine a cut-off ADC value quantitative detection malignancies with DWI.Eighty-seven patients (mean age 53 years) 107 pathologies 50 healthy controls 38 were...
The purpose of this study was to calculate the apparent diffusion coefficient (ADC) values different renal and adrenal lesions evaluate ability diffusion-weighted imaging in characterizing masses determining malignancy.A total 52 patients consisting 67 28 with 33 addition 50 healthy controls normal kidneys were enrolled study. Diffusion-weighted performed b factors 0, 500, 1000 s/mm2, ADCs kidney calculated.The mean (SD) cortex medulla control group 2.08 (0.22) x 10(-3) 1.94 (0.18) mm2/s,...
BRCA1-associated protein 1 (BAP1) mutation is an unfavorable factor for overall survival in patients with clear cell renal carcinoma (ccRCC). Radiomics literature about BAP1 lacks papers that consider the reliability of texture features their workflow.Using a high inter-observer agreement, we aimed to develop and internally validate machine learning-based radiomic model predicting status ccRCCs.For this retrospective study, 65 ccRCCs were included from public database. Texture extracted...
Objectives: The aims of this study were to determine and evaluate the apparent diffusion coefficient (ADC) values rectal wall for identifying inflammatory bowel disease (IBD) rectosigmoid (rectum sigmoid colon) malignancies. Methods: Diffusion-weighted magnetic resonance imaging (DWI) findings 23 patients (mean age, 57 years) consisting 14 with adenocarcinomas 9 IBD (6 ulcerative colitis 3 Crohn disease) retrospectively reviewed. In addition, 30 healthy controls 45 enrolled in study. was...
To evaluate the feasibility of renal diffusion tensor imaging and determine normative fractional anisotropy apparent coefficient values at 3 Tesla magnetic resonance (MRI) using parallel free breathing technique.A total 52 young healthy volunteers with no history disease were included in study. MRI examinations performed equipment, six-channel phased array SENSE Torso coil. In all subjects, T2-weighted turbo spin echo single shot planar sequences obtained coronal plane breathing. Field view,...
Purpose Lymphovascular invasion (LVI) and perineural (PNI) are associated with poor prognosis in gastric cancers. In this work, we aimed to investigate the potential role of computed tomography (CT) texture analysis predicting LVI PNI patients tubular adenocarcinoma (GAC) using a machine learning (ML) approach. Methods Sixty-eight who underwent total gastrectomy curative (R0) resection D2-lymphadenectomy were included retrospective study. Texture features extracted from portal venous phase...