Publications by authors named "Servet Erdemli"
Rationale And Objectives: Artificial intelligence (AI) systems have been increasingly applied to breast ultrasonography. They are expected to decrease the workload of radiologists and to improve diagnostic accuracy. The aim of this study is to evaluate the performance of an AI system for the BI-RADS category assessment in breast masses detected on breast ultrasound.
View Article and Find Full Text PDFObjective: To investigate whether commercially available deep learning (DL) software improves the Prostate Imaging-Reporting and Data System (PI-RADS) scoring consistency on bi-parametric MRI among radiologists with various levels of experience; to assess whether the DL software improves the performance of the radiologists in identifying clinically significant prostate cancer (csPCa).
Methods: We retrospectively enrolled consecutive men who underwent bi-parametric prostate MRI at a 3 T scanner due to suspicion of PCa. Four radiologists with 2, 3, 5, and > 20 years of experience evaluated the bi-parametric prostate MRI scans with and without the DL software.
Objectives: To compare the effectiveness of individual multiparametric prostate MRI (mpMRI) sequences-T2W, diffusion-weighted imaging (DWI) and apparent diffusion coefficient (ADC), and dynamic contrast-enhanced (DCE)-in assessing prostate cancer (PCa) index lesion volume using whole-mount pathology as the ground-truth; to assess the impact of an endorectal coil (ERC) on the measurements.
Materials And Methods: We retrospectively enrolled 72 PCa patients who underwent 3T mpMRI with (n = 39) or without (n = 33) an ERC. A pathologist drew the index lesion borders on whole-mount pathology using planimetry (whole-mount).
Background: Renal parenchymal changes are seen in chronic hepatitis B virus (HBV) infection, and its disease diagnosis should be confirmed by renal biopsy, which is an invasive technique. Apparent-T1 mapping magnetic resonance imaging (MRI) is an established imaging technique that assesses subclinical tissue injury without using a contrast agent.
Aims: To investigate the early stage subclinical renal changes without apparent renal dysfunction in patients with chronic HBV infection by renal apparent-T1 mapping MRI.
Background: Liver disease can develop in repaired tetralogy of Fallot (TOF) from hepatic congestion caused by volume and pressure overload of the right ventricle. Noninvasive assessment of the liver is important for diagnosing and managing children with TOF.
Objective: To evaluate subclinical hepatic changes without liver function test abnormality in adolescents with repaired TOF using intravoxel incoherent motion (IVIM) MRI and cardiac MRI findings.
Article Synopsis
- The study examined cardiometabolic risk factors in Turkish children with liver fat buildup (hepatosteatosis) using ultrasound to identify the condition.
- Among 148 children (average age 12.1 years), various levels of liver fat were observed, with 24.3% meeting the criteria for metabolic syndrome (MS).
- A correlation was found between the severity of liver fat and the number of cardiometabolic risk factors, suggesting that both ultrasound findings and the degree of fat buildup can help identify children at risk for metabolic issues.
Article Synopsis
- The study aimed to assess the effectiveness of shear wave elastography (SWE) in detecting changes in the median and posterior tibial nerves of adolescents with type 1 diabetes mellitus who do not display diabetic peripheral neuropathy (DPN).
- The research involved comparing nerve characteristics between 25 adolescents with type 1 diabetes and 32 healthy volunteers, focusing on nerve size, thickness, and stiffness, while also analyzing correlations with disease duration.
- Findings indicated that the nerves in diabetes patients were notably smaller, thinner, and stiffer, suggesting SWE could help identify early nerve abnormalities, although the reliability of results was not fully assured.