European Radiology

Deep learning-based detection system for multiclass lesions on chest radiographs: comparison with observer readings

In this study, the authors sought to investigate the feasibility of a deep learning-based detection (DLD) system for multiclass legions on chest radiograph....

European Radiology

1 year ago

Combining DWI radiomics features with transurethral resection promotes the differentiation between muscle-invasive bladder cancer and non-muscle-invasive bladder cancer

The purpose of this retrospective study was to investigate the value of radiomics features from diffusion-weighted imaging (DWI) in differentiating...

European Radiology

1 year ago

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

1 year 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

1 year 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

1 year 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

1 year 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

1 year 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

1 year 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

1 year 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

1 year ago