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Clinical outcome of patients with rheumatic tricuspid valve disease: matched cohort study
Rheumatic heart disease (RHD) is still a major health problem, especially in low- to mid-income countries, leading premature deaths owing to valvular...
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Left atrial and ventricular longitudinal strain by cardiac magnetic resonance feature tracking improves prognostic stratification of patients with ST-segment elevation myocardial infarction
We aimed to investigate the predictive value of left atrium (LA) and left ventricle (LV) longitudinal strain derived by CMR-FT early after ST-segment...
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Decreased DTI-ALPS index in delirium: a preliminary MRI study
PurposeDelirium is linked to brain abnormalities, yet the role of the glymphatic system is not well understood. This study aims to examine...
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To scan or not to scan? A retrospective cohort study analysing the efficacy of routine post-operative CT after brain biopsy
PurposePostoperative management following elective cranial surgery, particularly after biopsy procedures, varies significantly across neurosurgical...
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CapNet: An Automatic Attention-Based with Mixer Model for Cardiovascular Magnetic Resonance Image Segmentation
Deep neural networks have shown excellent performance in medical image segmentation, especially for cardiac images. Transformer-based models, though...
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Dual-energy CT in differentiating benign gallbladder wall thickening from wall thickening type of gallbladder cancer
ObjectiveTo evaluate the performance of dual-energy computed tomography (DECT) in differentiating non-acute benign from malignant gallbladder wall...
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Reduction of myocardial lipid content assessed by H1 magnetic resonance spectroscopy in dyslipidemic patients after statins
BackgroundDyslipidemia is one of the main modifiable risk factors for cardiovascular diseases, which accounts for one third of total deaths...
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Benchmarking PathCLIP for Pathology Image Analysis
Accurate image classification and retrieval are of importance for clinical diagnosis and treatment decision-making. The recent contrastive...
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Image quality comparison of 1.5T and 3T prostate MRIs of the same post-hip arthroplasty patients: multi-rater assessments including PI-QUAL version 2
ObjectivesTo compare the image quality of 1.5T and 3T prostate MRIs of the same post-hip arthroplasty patients, with a specific focus on the degree...
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MR radiomics to predict microvascular invasion status and biological process in combined hepatocellular carcinoma-cholangiocarcinoma
ObjectivesTo establish an MRI-based radiomics model for predicting the microvascular invasion (MVI) status of cHCC-CCA and to investigate biological...
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Enhancement on CT for preoperative diagnosis of metastatic lymph nodes in thyroid cancer: a comparison across experience levels
ObjectivesTo investigate the diagnostic performance and interobserver agreement of quantitative CT parameters indicating strong lymph node (LN)...
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Self-expanding intracranial drug-eluting stent system in patients with symptomatic intracranial atherosclerotic stenosis: initial experience and midterm angiographic follow-up
BackgroundSymptomatic intracranial atherosclerotic stenosis (ICAS) is a major cause of ischemic stroke worldwide. In patients undergoing endovascular...
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Defining tumor growth in vestibular schwannomas: a volumetric inter-observer variability study in contrast-enhanced T1-weighted MRI
PurposeFor patients with vestibular schwannomas (VS), a conservative observational approach is increasingly used. Therefore, the need for accurate...
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An interpretable artificial intelligence model based on CT for prognosis of intracerebral hemorrhage: a multicenter study
ObjectivesTo develop and validate a novel interpretable artificial intelligence (AI) model that integrates radiomic features, deep learning features,...
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Baseline and early 18F-FDG PET/CT evaluations as predictors of progression-free survival in metastatic breast cancer patients treated with targeted anti-CDK therapy
BackgroundExploring the value of baseline and early 18 F-FDG PET/CT evaluations in prediction PFS in ER+/HER2- metastatic breast cancer patients...
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Deep learning based bilateral filtering for edge-preserving denoising of respiratory-gated PET
BackgroundResidual image noise is substantial in positron emission tomography (PET) and one of the factors limiting lesion detection, quantification,...
