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Prediction of tumor regression grade in far-advanced gastric cancer after preoperative immuno-chemotherapy using dual-energy CT-derived extracellular volume fraction
ObjectivesThis study examines the effectiveness of dual-energy CT (DECT) delayed-phase extracellular volume (ECV) fraction in predicting tumor...
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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,...
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Pectus excavatum: the effect of tricuspid valve compression on cardiac function
BackgroundPectus excavatum (PE) is a common congenital chest wall deformity with various associated health concerns, including psychosocial impacts,...
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Synthetic CT generation for pelvic cases based on deep learning in multi-center datasets
Background and purposeTo investigate the feasibility of synthesizing computed tomography (CT) images from magnetic resonance (MR) images in...
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Diagnostic accuracy of the Clear Cell Likelihood Score and selected MRI parameters in the characterization of indeterminate renal masses – a single-institution study
PurposeWe aimed to assess the diagnostic accuracy of the clear cell likelihood score (ccLS) and value of other selected magnetic resonance imaging...
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Inter-observer and inter-modality concordance of non-contrast MR angiography and CT angiography for preoperative assessment of potential renal donors
BackgroundMagnetic resonance angiography (MRA) is rapidly being employed as an effective substitute for CTA, particularly in situations of poor...
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Synthetic magnetic resonance-based relaxometry and brain volume: cutoff values for predicting neurocognitive outcomes in very preterm infants
BackgroundEarly neurorehabilitation can enhance neurocognitive outcomes in very preterm infants (<32 weeks), and conventional magnetic resonance...
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Cartilage compositional MRI—a narrative review of technical development and clinical applications over the past three decades
Articular cartilage damage and degeneration are among hallmark manifestations of joint injuries and arthritis, classically osteoarthritis. Cartilage...
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Impact of post-thrombectomy isolated subarachnoid hemorrhage on neurological outcomes in patients with anterior ischemic stroke – a retrospective single-center observational study
PurposeWe aimed to investigate the impact of post-thrombectomy isolated subarachnoid hemorrhage (i-SAH) and other types of intracranial hemorrhage...
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Evolutionary Strategies Enable Systematic and Reliable Uncertainty Quantification: A Proof-of-Concept Pilot Study on Resting-State Functional MRI Language Lateralization
Reliable and trustworthy artificial intelligence (AI), particularly in high-stake medical diagnoses, necessitates effective uncertainty...
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Minimal Detectable Bone Fracture Gaps in CT Images and Digital Three-Dimensional (3D) Radii Models
Knowledge of the minimal detectable bone fracture gap is essential in three-dimensional (3D) models, particularly in pre-operative planning of...
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Mitochondrial neurogastrointestinal encephalopathy: a case report
BackgroundMitochondrial neurogastrointestinal encephalopathy (MNGIE) is an autosomal recessive disease associated with alterations in mitochondrial...
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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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The role of biomarkers and dosimetry parameters in overall and progression free survival prediction for patients treated with personalized 90Y glass microspheres SIRT: a preliminary machine learning study
BackgroundOverall Survival (OS) and Progression-Free Survival (PFS) analyses are crucial metrics for evaluating the efficacy and impact of treatment....
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Using ChatGPT to Improve Readability of Interventional Radiology Procedure Descriptions
PurposeThis project examines ChatGPT's potential to enhance the readability of patient educational materials about interventional radiology (IR)...
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Body MRI in pediatrics: where we are and what the future holds
Body magnetic resonance imaging (MRI) is increasingly used for disease diagnosis, characterization, and monitoring in children of all ages. MRI has...
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Bile duct diffusion-weighted image hyperintensity predicts intrahepatic biliary complications after ABO-incompatible liver transplantation
ObjectivesWe assessed the value of the diffusion-weighted image (DWI) for predicting intrahepatic biliary complications (IHBC) after ABO-incompatible...
