Radiomics is the extraction of predefined mathematic features from medical images for
predicting variables of clinical interest. Recent research has demonstrated that radiomics …

With the continuous development of medical image informatics technology, more and more
high-throughput quantitative data could be extracted from digital medical images, which has …

Objective To develop prognostic models for survival (alive or deceased status) prediction of
COVID-19 patients using clinical data (demographics and history, laboratory tests, visual …

Background Clinical management ranges from surveillance or curettage to wide resection
for atypical to higher-grade cartilaginous tumours, respectively. Our aim was to investigate …

Simple Summary Primary skull base chondrosarcomas (SBCs) may carry significant tumor-
burden by causing severe cranial nerve neuropathies. Current treatment strategies mainly …

Purpose Thalamic gliomas are rare neoplasms that pose significant surgical challenges.
The literature is limited to single-institution retrospective case series. We systematically …

This study aims to investigate the influence of interobserver manual segmentation variability
on the reproducibility of 2D and 3D unenhanced computed tomography (CT)-and magnetic …

Introduction: Assessment of lymph node metastasis (LNM) is crucial for treatment decision
and prognosis prediction for endometrial cancer (EC). However, the sensitivity of the …

Simple Summary Skull-base chordomas (SBC) are rare tumours with unfavourable
outcomes, even when undergoing advanced treatments such as carbon-ion radiotherapy …

Objectives Our purpose was to differentiate between malignant from benign soft tissue
neoplasms using a combination of MRI-based radiomics metrics and machine learning …