A5002270782- Liver Disease Diagnosis and Treatment
- Vascular anomalies and interventions
- Ovarian cancer diagnosis and treatment
- Pancreatitis Pathology and Treatment
- MRI in cancer diagnosis
- Renal and Vascular Pathologies
- Gastrointestinal disorders and treatments
- Abdominal vascular conditions and treatments
- Aortic aneurysm repair treatments
- Pancreatic and Hepatic Oncology Research
- Hepatocellular Carcinoma Treatment and Prognosis
- Lymphoma Diagnosis and Treatment
- Urinary and Genital Oncology Studies
- Radiomics and Machine Learning in Medical Imaging
- Appendicitis Diagnosis and Management
- Adrenal and Paraganglionic Tumors
- Prostate Cancer Diagnosis and Treatment
- Renal cell carcinoma treatment
- Cholangiocarcinoma and Gallbladder Cancer Studies
- Bladder and Urothelial Cancer Treatments
- Abdominal Trauma and Injuries
- Radiation Dose and Imaging
- Sarcoma Diagnosis and Treatment
- Adrenal Hormones and Disorders
- Urologic and reproductive health conditions
Hacettepe University
2016-2025
Urology Team
2018
Harvard University
2010-2015
Massachusetts General Hospital
2010-2015
University of California, Irvine
2015
Harvard University Press
2011
Hacettepe University Hospital
2009
Anal and perianal region is a commonly affected area in the course of several inflammatory, infectious, neoplastic diseases. Several imaging modalities may be used evaluation this magnetic resonance (MRI) emerges as modality choice due to its superb soft tissue resolution. MRI not only useful for initial detection anal/perianal pathologies but also follow-up these disorders. In article, we aimed illustrate findings diseases affecting including fistula well anal fissure, hypertrophic myopathy...
Tuberculosis (TB) may present with highly variable imaging findings. The findings vary from nonspecific hepatomegaly to abscesses or solid focal lesions, mimicking liver tumors. Biliary tract involvement also be detected, which manifest ductal dilatations underlying strictures.All cross-sectional modalities, including sonography, CT, and MRI, used in the evaluation of patients TB. Imaging perplexing radiologists, particularly ones who practice areas where TB is not endemic; thus,...
Hepatic steatosis (HS) development and its risk factors in testicular germ cell tumor (TGCT) survivors have not been investigated. The study was designed as a retrospective observational study. Patients with existing HS at diagnosis were excluded. Serial imaging utilized to detect HS. A total of 106 TGCT included. developed 57% (n = 61) during median follow-up 51.8 months (8.5-241.5); 77% 47) those had persistent who higher baseline body mass index (BMI) (median 26.5 vs. 23.6 kg/m2, p...
This study investigates the accuracy of multiparametric magnetic resonance imaging (mpMRI), diffusion-weighted (DWI), and elastography (MRE) in differentiating benign malignant liver lesions. retrospective included patients with focal lesions who underwent MRI MRE between 2018 2022. Based on histopathologic analyses or follow-up findings, 70 solid were retrospectively evaluated as (n = 20) 50). There was no statistically significant difference pre-contrast T1 relaxation times (P > 0.05)....
Prostatitis, the Great Mimicker of Prostate Cancer: Can We Differentiate Them Quantitatively With Multiparametric MRI?Aycan Uysal1, Ali D. Karaosmanoğlu2, Musturay Karcaaltıncaba2, Deniz Akata3, Bulent Akdogan4, Dilek E. Baydar5 and Mustafa N. Ozmen3Audio Available | Share
Kidney neoplasms are common diseases with varying prognoses depending on the subtype of tumor. The most solid lesion kidney is renal cell carcinoma, and treatment typically surgical removal. With increasing use cross-sectional imaging in last two decades, detection lesions has significantly increased, especially asymptomatic patients who scanned for other reasons. In this article, we present findings rare benign primary including leiomyoma, reninoma, carcinoid tumor, metanephric adenoma,...
Abstract Objectives Radiomics-based analyses encompass multiple steps, leading to ambiguity regarding the optimal approaches for enhancing model performance. This study compares effect of several feature selection methods, machine learning (ML) classifiers, and sources radiomic features, on models’ performance diagnosis clinically significant prostate cancer (csPCa) from bi-parametric MRI. Methods Two multi-centric datasets, with 465 204 patients each, were used extract 1246 features per...