European Radiology

Study compares robotic CT-guided out-of-plane needle insertion with smartphone-guided application

The authors in this study aimed to evaluate the accuracy of robotic CT-guided out-of-plane needle insertion using phantom and animal experiments. A robotic...

European Radiology

2 years ago

Long-term follow-up of persistent pulmonary pure ground-glass nodules with deep learning–assisted nodule segmentation

The aim of this study was to investigate the natural history of pulmonary pure ground-glass nodules (pGGNs) with deep learning (DL)-assisted nodule...

European Radiology

2 years ago

Automated multiparametric localization of prostate cancer based on B-mode, shear-wave elastography, and contrast-enhanced ultrasound radiomics

In this study, the authors aimed to assess the potential of machine learning (ML) based on B-mode, shear-wave elastography (SWE), and dynamic...

European Radiology

2 years ago

Motion-corrected coronary calcium scores by a CNN: a robotic simulating study

The authors of this study aimed to classify motion-induced blurred images of calcified coronary plaques, in order to correct coronary calcium scored on...

European Radiology

2 years ago

MRI-based radiomics nomogram may predict the response to induction chemotherapy and survival in locally advanced nasopharyngeal carcinoma

This study integrated the clinical data and radiomics signature generated by a support vector machine to establish a radiomics nomogram for prediction of...

European Radiology

2 years ago

Noncontrast computer tomography–based radiomics model for predicting intracerebral hemorrhage expansion: preliminary findings and comparison with conventional radiological model

The authors developed a radiomics model for predicting hematoma expansion in patients with intracerebral haemorrhage (ICH) and compared its predictive...

European Radiology

2 years ago

Radiomics analysis using contrast-enhanced CT for preoperative prediction of occult peritoneal metastasis in advanced gastric cancer

The authors of this study constructed two multivariate logistic regression models and compared the diagnostic performance between the two of them via receiver...

European Radiology

2 years ago

Radiomics machine-learning signature for diagnosis of hepatocellular carcinoma in cirrhotic patients with indeterminate liver nodules

This article sets out to determine whether machine learning can be used to train and calibrate the signature for diagnosing hepatocellular carcinoma in...

European Radiology

2 years ago

Radiation dose in pregnancy

Due to the high radiosensitivity of the fetus and embryo, diagnostic imaging procedures for pregnant patients raise health concerns. Therefore, the authors of...

European Radiology

2 years ago

Deep learning to differentiate parkinsonian disorders separately using single midsagittal MR imaging

In an attempt to determine whether deep learning with the convolutional neural networks (CNN) can be used for identifying parkinsonian disorder on MRI, the...

European Radiology

2 years ago