BACKGROUND Aneurysm wall enhancement is a potential imaging biomarker for risk stratification of intracranial aneurysms (IAs). Variations in the texture magnetic resonance (MRI) signal could shed light on underlying pathobiology aneurysm wall. Radiomics can help quantify textural complexity MRI images, which lead to better understanding and IAs. Herein, we investigated use radiomics derived fro...

IntroductionGlioblastoma (GBM) is the most common malignant primary brain tumour which has, despite extensive treatment, a median overall survival of 15 months. Radiomics high-throughput extraction large amounts image features from radiographic images, allows capturing phenotype in 3D and non-invasive way. In this study we assess prognostic value CT radiomics for patients with GBM.Materials met...

The pandemic caused by the new coronavirus in 2019, now called SARS-CoV-2 or COVID-19 disease, has become a major public health problem worldwide. main method of diagnosing infection is RT-PCR, but medical imaging brings important quantitative and qualitative information that complements data for diagnosis prediction clinical course even if chest X-rays CT scans are not routinely recommended sc...

Several studies have indicated that magnetic resonance imaging radiomics can predict survival in patients with breast cancer, but the potential biological underpinning remains indistinct. This study aims to develop an interpretable deep-learning-based network for classifying recurrence risk and revealing underpinning. In this multicenter study, 1,113 nonmetastatic invasive cancer were included,...

Background Post-hepatectomy liver failure (PHLF) is a fatal complication after resection in patients with hepatocellular carcinoma (HCC). It of clinical importance to estimate the risk PHLF preoperatively. Aims This study aimed develop and validate prediction model based on preoperative gadoxetic acid–enhanced magnetic resonance imaging HCC. Methods A total 276 were retrospectively included ran...

Objectives: To evaluate the added prognostic value of baseline CT-radiomics using nomogram for overall survival and probability distant metastasis in small-cell lung cancer patients. Materials methods: This retrospective study consisted 122 patients with stage IIA-IIIB cancer,which 97 training dataset 25 validation dataset. The function defined as rad_score was constructed by linear combination...

Purpose To assess whether CT-based radiomics of the ablation zone (AZ) can predict local tumour progression (LTP) after thermal for colorectal liver metastases (CRLM). Materials and methods Eighty-two patients with 127 CRLM were included. Radiomics features (with different filters) extracted from AZ a 10 mm periablational rim (PAR)on portal-venous-phase CT up to 8 weeks ablation. Multivariable ...