Liver and pancreatic fat fractions as predictors of disease severity in acute pancreatitis: an MRI IDEAL-IQ study.

Purpose: Metabolic dysfunction-associated steatotic liver disease (MASLD) and non-alcoholic fatty pancreatic disease (NAFPD) are metabolic diseases with rising incidence. Fatty infiltration may lead to dysfunction of the liver and pancreatic tissues. This study aims to quantify liver and pancreatic fat fractions and examine their correlation with disease severity in acute pancreatitis patients.

Enhancing bone metastasis prediction in prostate cancer using quantitative mpMRI features, ISUP grade and PSA density: a machine learning approach.

Purpose: Bone metastasis is a critical complication in prostate cancer, significantly impacting patient prognosis and quality of life. This study aims to enhance bone metastasis prediction using machine learning (ML) techniques by integrating dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) perfusion features, International Society of Urological Pathology (ISUP) grade, and prostate-specific antigen (PSA) density.

Materials And Methods: A retrospective analysis was conducted on 122 patients with histopathologically confirmed prostate cancer who underwent multiparametric prostate magnetic resonance imaging (mpMRI).

The impact of deep learning on diagnostic performance in the differentiation of benign and malignant thyroid nodules.

Aims: This study aims to use deep learning (DL) to classify thyroid nodules as benign and malignant with ultrasonography (US). In addition, this study investigates the impact of DL on the diagnostic success of radiologists with different experiences. Material and methods: This study included 576 US images of thyroid nodules.

Morphologic evaluation of vascular foramina in dry calcaneus.

Purpose: The purpose of this study is to provide reference data regarding the morphology of vascular foramina (VF) of calcaneus among the Turkish population.

Methods: This study was performed using 49 dry calcanei (26 right, 23 left). The number as well as the location of VF in relation of each surface of calcaneus were evaluated.

Effect of preoperative three-dimensional modeling on uniportal video-assisted thoracoscopic bronchial sleeve resection and early postoperative outcomes.

Background: The aim of this study was to evaluate the effects of preoperative three-dimensional (3D) modeling on the performance of uniportal video-assisted thoracoscopic bronchial sleeve resection and early postoperative outcomes.

Methods: A total of 10 patients (5 males, 5 females; mean age: 53.8±16.