x-ray computed tomography

Enhanced CT-based radiomics predicts pathological complete response for advanced adenocarcinoma

This study shows that the combination of CT imaging and clinical factors pre-neoadjuvant chemotherapy (NAC) for advanced adenocarcinoma of the esophagogastric...

Insights into Imaging

1 month ago

Using parametric feature maps to enhance the stability of CT radiomics

It is known that the reproducibility of radiomic features is influenced by myriad factors, one of which is the size of the segmented volume. We hypothesized...

Laura Jensen

5 months ago

The role of radiomics in the detection of lymph node metastases

The authors of this retrospective analysis looked at the role that radiomics played when applied to contrast-enhanced computed tomography (CT) in detecting...

European Radiology Experimental

6 months ago

The potential of texture analysis for breast density classification

Breast cancer continues to be the most commonly diagnosed cancer among women with over 2 million new cases per year worldwide. One important independent risk...

European Radiology Experimental

10 months ago

Can radiomics signatures predict tumor reponse of patients treated with chemotherapy and targeted therapy?

The authors of this retrospective study had the goal of evaluating the effectiveness of radiomics signatures in order to predict the tumor response of...

European Radiology

1 year ago

Can machine learning predict the WHO/ISUP nuclear grade of clear cell renal cell carcinomas?

In this retrospective study, the authors investigated if radiomics features extracted from nephrographic-phase (NP) CT images combined with...

Insights into Imaging

1 year ago

Radiomic nomogram predicts pathology invasiveness

The purpose of this retrospective diagnostic study was to develop and validate a preoperative CT-based nomogram combined with radiomic and...

European Radiology

1 year ago

Proposing a deep learning-based method for improving the diagnostic certainty of pulmonary nodules in CT scan of chest

The aim of this study was to compare the performance of a deep learning (DL)-based method used for diagnosing pulmonary nodules compared with the diagnostic...

European Radiology

2 years ago

Differential diagnosis of benign and malignant vertebral fracture on CT using deep learning

The purpose of this study was to evaluate the performance of deep learning using ResNet50 in the differentiation of benign and malignant vertebral fracture on...

European Radiology

2 years ago

Practice makes perfect: Using AR to simulate CT guided procedures

As a junior radiology trainee, when I was not in the reporting room or on the wards doing portable ultrasounds, I found learning CT procedures a daunting task...

Dimitri Amiras

2 years ago