Abstract Rationale and Objectives Cystic fibrosis transmembrane conductance regulator
(CFTR) modulators have revolutionised the treatment of cystic fibrosis (CF). Chest computed …

Background Stratifying high-risk histopathologic features in endometrial carcinoma is
important for treatment planning. Radiomics analysis at preoperative MRI holds potential to …

Objectives To systematically review current research applications of radiomics in patients
with cholangiocarcinoma and to assess the quality of CT and MRI radiomics studies …

Purpose The purpose of this study was to evaluate the impact of a deep learning-based
super-resolution technique on T1-weighted gradient-echo acquisitions (volumetric …

Mature tertiary lymphoid structures (mTLSs) are organized lymphoid structures containing B
lymphocytes admixed to CD23+ follicular dendritic cells. Their presence has been linked to …

Importance Preoperative mapping of deep pelvic endometriosis (DPE) is crucial as surgery
can be complex and the quality of preoperative information is key. Objective To evaluate the …

Purpose The purpose of this study was to investigate the utility of combining clinical and
spectral computed tomography (CT) parameters for the preoperative evaluation of …

Purpose To determine the capabilities of MRI-based traditional radiomics and computer-
vision (CV) nomogram for predicting lymphovascular space invasion (LVSI) in patients with …

Purpose The purpose of this study was to assess the inter-slice radiomic feature
repeatability in ultrasound imaging and the impact of preprocessing using intensity …

Purpose The purpose of this study was to evaluate a deep-learning model (DLM) for
classifying coronary arteries on coronary computed tomography-angiography (CCTA) using …