Machine Learning Insights: Predicting Hepatic Encephalopathy After TIPS Placement.

Purpose: To develop and assess machine learning (ML) models' ability to predict post-procedural hepatic encephalopathy (HE) following transjugular intrahepatic portosystemic shunt (TIPS) placement.

Materials And Methods: In this retrospective study, 327 patients who underwent TIPS for hepatic cirrhosis between 2005 and 2019 were analyzed. Thirty features (8 clinical, 10 laboratory, 12 procedural) were collected, and HE development regardless of severity was recorded one month follow-up.

Machine Learning Models in Prediction of Treatment Response After Chemoembolization with MRI Clinicoradiomics Features.

Purpose: To evaluate machine learning models, created with radiomics and clinicoradiomics features, ability to predict local response after TACE.

Materials And Methods: 188 treatment-naïve patients (150 responders, 38 non-responders) with HCC who underwent TACE were included in this retrospective study. Laboratory, clinical and procedural information were recorded.

Prediction of carcinogenic human papillomavirus types in cervical cancer from multiparametric magnetic resonance images with machine learning-based radiomics models.

Purpose: This study aimed to evaluate the potential of machine learning-based models for predicting carcinogenic human papillomavirus (HPV) oncogene types using radiomics features from magnetic resonance imaging (MRI).

Methods: Pre-treatment MRI images of patients with cervical cancer were collected retrospectively. An HPV DNA oncogene analysis was performed based on cervical biopsy specimens.

Visceral to subcutaneous fat ratio predicts short-term mortality in patients with Covid 19. A multicenter study.

Objective: To evaluate the association of body composition parameters with outcomes in Covid-19.

Methods: 173 patients hospitalized for Covid-19 infection in 6 European centers were included in this retrospective study. Measurements were performed at L3-level and comprised skeletal muscle index (SMI), muscle density (MD), and adipose tissue measurements [visceral adipose tissue (VAT), subcutaneous adipose tissue (SAT), intramuscular adipose tissue (IMAT), visceral-to-subcutaneous-adipose-tissue-area-ratio (VSR)].

Prediction of Response of Hepatocellular Carcinoma to Radioembolization: Machine Learning Using Preprocedural Clinical Factors and MR Imaging Radiomics.

Purpose: To create and evaluate the ability of machine learning-based models with clinicoradiomic features to predict radiologic response after transarterial radioembolization (TARE).

Materials And Methods: 82 treatment-naïve patients (65 responders and 17 nonresponders; median age: 65 years; interquartile range: 11) who underwent selective TARE were included. Treatment responses were evaluated using the European Association for the Study of the Liver criteria at 3-month follow-up.

Classification of retinoblastoma-1 gene mutation with machine learning-based models in bladder cancer.

Purpose: This study aims to evaluate the potential of machine learning algorithms built with radiomics features from computed tomography urography (CTU) images that classify RB1 gene mutation status in bladder cancer.

Method: The study enrolled CTU images of 18 patients with and 54 without RB1 mutation from a public database. Image and data preprocessing were performed after data augmentation.

Diagnostic Performance of COVID-19 Reporting and Data System Classification Across Residents and Radiologists: A Retrospective Study.

Objective: The aim of the study was to evaluate the interobserver agreement and diagnostic accuracy of COVID-19 Reporting and Data System (CO-RADS), in patients suspected COVID-19 pneumonia.

Methods: Two hundred nine nonenhanced chest computed tomography images of patients with clinically suspected COVID-19 pneumonia were included. The images were evaluated by 2 groups of observers, consisting of 2 residents-radiologists, using CO-RADS.

Analysis of potential predatory journals in radiology.

Purpose: The aim of this study is to determine the presence and evaluate the features of potential predatory journals in the radiology field.

Methods: The presence of the keywords related to radiology listed in the name of journals was investigated in Beall's list. We have searched and recorded the features and the information of the included journals listed under the following headings: address and location, publishing features, editorial board, indexing features, submission, and peer-review processes.

Primary and Metastatic Liver Malignancy: Utility Low and High B Value (1600-2000) in 3 Tesla MRI.

Background/aims: To determine the utility of the quantitative apparent diffusion coefficient (ADC) values at various b values, in the differentiation of malignant hepatic masses on 3.0 Tesla (T) MRI.

Methodology: We evaluated 81 consecutive patients presenting with 529 malignant masses in the liver.

Sonographic findings of hepatobiliary fascioliasis accompanied by extrahepatic expansion and ectopic lesions.

Objectives: The aim of the study was to describe the sonographic findings of hepatobiliary fascioliasis with extrahepatic expansion and ectopic lesions.

Methods: The study included 45 patients with fascioliasis. All diagnoses were confirmed via serologic enzyme-linked immunosorbent assays.

Is there any significance of lung cancer histology to compare the diagnostic accuracies of (18)F-FDG-PET/CT and (99m)Tc-MDP BS for the detection of bone metastases in advanced NSCLC?

Aim Of The Study: Bone scintigraphy (BS) and fluorine-18 deoxyglucose positron emission tomography computed tomography ((18)F-FDG-PET/CT) are widely used for the detection of bone involvement. The optimal imaging modality for the detection of bone metastases in histological subgroups of non-small cell lung cancer (NSCLC) remains ambiguous. The aim of this study was to compare the efficacy of (18)F-FDG-PET/C and 99mTc-methylene diphosphonate ((99m)Tc-MDP) BS in the detection of bone metastases of patients in NSCLC.

Relation between electrophysiological findings and diffusion weighted magnetic resonance imaging in ulnar neuropathy at the elbow.

Aim: As only a limited number of studies have used diffusion-weighted imaging (DWI) and conventional magnetic resonance imaging (MRI) in patients with ulnar neuropathy at the elbow (UNE), the present study aimed to investigate the diagnostic value of the non-invasive DWI technique in patients with UNE.

Methods: A total of 26 elbows in 19 healthy controls (age range: 22-56 years) with no symptoms and 24 elbows in 21 symptomatic patients (age range: 21-46 years) with cubital tunnel syndrome underwent DWI. The electrophysiological and clinical criteria for the diagnosis of UNE were examined.

An incidental case of biliary fascioliasis with subtle clinical findings: US and MRCP findings.

Background: Fascioliasis is a disease caused by the trematode Fasciola hepatica. Cholangitis is a common clinical manifestation. Although fascioliasis may show various radiological and clinical features, cases without biliary dilatation are rare.

Investigation of the retrorenal colon frequency using computed tomography in patients with advanced scoliosis.

Purpose: The aim of this study is to investigate the frequency of retrorenal colon in patients with advanced scoliosis.

Materials And Methods: The existence of retrorenal colon was retrospectively investigated in 550 patients with vertebral scoliosis who had undergone abdominal CT scans at our institution between January 2008 and March 2012. The investigation was also carried out on a control group of 200 patients without scoliosis.

Display with 64-detector MDCT angiography of cerebral vascular variations.

Purpose: The aim of this study was to assess the cerebral variations and observe their frequency in the patients who have undergone angiographies with the state of the art 64-slice multidetector computed tomography (MDCT) angiography technique due to various reasons.

Methods: 500 patients (253 women, 247 men) who had CT scan in the period of April 2008 to March 2010 at Dicle University Medicine Faculty Hospital Radiology Unit were surveyed in this study. Patients who had CT scan with brain CT angio protocol were evaluated using multiplanar, maximum intensity projection (MIP) and volume rendering (VR) images in work station.

Endovascular treatment of surgically implanted arterial graft thrombosis by using manual aspiration thrombectomy.

The purpose of this study was to present our experience with guiding catheters in manual aspiration thrombectomy of occluded infra-aortic bypass grafts. This material was designed as a guiding catheter but was also used for thrombus aspiration. Six consecutive patients (all male; mean age, 61.

Venous intravasation as a complication and potential pitfall during hysterosalpingography: re-emerging study with a novel classification.

Objectives: Presently, hysterosalpingography (HSG) is used as a means to evaluate women with infertility and repetitive pregnancy loss. Venous intravasation is a complication and potential pitfall during HSG and analogous procedures including hysteroscopy. The aim of our study was to assess the venous intravasation and to obtain critical information for more secure and more accurate procedures.