Radiology

Metabolic and Structural Insights of Cerebellar Dysfunction in Spinocerebellar Ataxia Type 12.

Spinocerebellar ataxia 12 (SCA12) is a progressive degenerative neurological disorder, primarily characterized by impaired coordination and balance. To investigate the correlation between proton (1H) magnetic resonance spectroscopy (MRS) and structural imaging indices in patients with SCA12. T1-weighted MRI, DTI, and single voxel MRS point resolved spectroscopy (PRESS) in the left hemispheric cere...

Deep learning-based classification of acute scrotum using single ultrasound images.

OBJECTIVE: To develop a deep learning model for differential diagnosis of acute scrotum using single ultrasound (US) images. PATIENTS AND METHODS: We analysed 1172 patients with acute scrotal pain evaluated by Doppler US at four hospitals. From each case, we selected a representative axial colour Doppler US image. We trained a binary classification model to distinguish torsion from non-torsion usi...

Integrating lesser omentum adipose CT in dual-phase tumor imaging: A multi-label deep learning framework for preoperative microvascular invasion prediction and survival analysis in hepatocellular carcinoma.

BACKGROUND AND OBJECTIVE: Accurate preoperative prediction of microvascular invasion (MVI) and survival risk is essential for personalized treatment i...

CT-free attenuation correction of 13N-ammonia cardiac PET images using conditional denoising diffusion implicit model with logarithmic linear normalization.

BACKGROUND AND OBJECTIVE: CT-based attenuation correction (CT-AC) is commonly used in cardiac PET but introduces additional radiation exposure, which ...

PFUS1: Premier pelvic floor ultrasound segmentation dataset. A resource for advancing research.

This article presents a curated dataset of transperineal pelvic floor ultrasound videos collected from 111 patients in a clinical setting using a Cano...

The appropriateness of primary care physician referrals for lumbar spine magnetic resonance imaging (MRI): retrospective cross-sectional study.

AIM: Low back pain (LBP) affects a significant proportion of the population. There has been an increase in referrals for magnetic resonance imaging (M...

Fully Automated Plane Prescription in Cardiac MRI: A Prospective Cohort Study.

BACKGROUND: Accurate plane positioning is important for high-quality cardiac MRI images but requires specialized training, limiting accessibility. PUR...

The evolving landscape of screening, management and treatment strategies of aortic stenosis in ATTR amyloidosis.

Transthyretin amyloid cardiomyopathy (ATTR-CM) and aortic stenosis (AS) frequently coexist in elderly patients, particularly men, creating a complex c...

Comparison of spectral performance of three dual-energy CT scanners equipped with a deep-learning image reconstruction algorithm and one photon counting CT scanner: A phantom study.

PURPOSE: The purpose of this study was to compare the spectral performance of three dual-energy CT (DECT) scanners and one photon-counting CT (PCCT) s...

Geometric deep learning for local growth prediction on abdominal aortic aneurysm surfaces.

Abdominal aortic aneurysms (AAAs) are progressive focal dilatations of the abdominal aorta. AAAs may rupture, with fatal consequences in >80% of cases...

QENNA: A quantum-enhanced neural network for early Alzheimer's detection using magnetic resonance imaging.

Early detection of Alzheimer's disease (AD) is essential for effective clinical intervention and disease management. However, conventional Deep Learni...

Mapping Knowledge Landscapes and Emerging Trends in Contrast-Enhanced Ultrasound for Breast Cancer: A Bibliometric and Visualization Analysis.

Breast cancer remains a leading threat to women's health worldwide and reducing mortality hinges on early detection. Contrast-enhanced ultrasound (CEU...

Analysis of microplastics and nanoplastics emerged from polyethylene bags and polyethylene terephthalate bottles by an artificial intelligence-enabled tool.

This study presents a comprehensive and comparative analysis of the emergence of micro- and nanoplastics (MNPs) from polyethylene (PE) plastic bags an...

Anomaly changes in the functional connectome of post-operative neurosurgical patients: A case series.

PURPOSE: The use of neuronavigation with superimposed mapping tools has enabled visualization of key fiber tracts and improved peri-operative planning...

An Explainable Deep Model for Risk Scoring and Accurate Radionecrosis Identification Following Brain Metastasis Stereotactic Radiosurgery.

PURPOSE: As survival improves for patients with brain metastases (BM), distinguishing local recurrence (LR) from radionecrosis (RN) is a growing neuro...

Comparison of multi-organ CT image segmentation tools for whole-body [18F]FDG-PET/CT clinical imaging.

UNLABELLED: Automated multi-organ segmentation looks to assist clinicians and researchers working with Positron Emission Tomography/Computed Tomograph...

Recent advances in the management of skin and soft tissue infections.

PURPOSE OF REVIEW: Skin and soft tissue infections (SSTIs) are one of the most frequent infections that need management either in outpatient setting o...

Anterior segment optical coherence tomography imaging in angle closure: advances in diagnosis and care.

PURPOSE OF REVIEW: To highlight emerging applications of anterior segment optical coherence tomography (AS-OCT) in the diagnosis, risk stratification,...

Dynamic infrared thermography in free flap surgery: A systematic review.

BACKGROUND: Dynamic infrared thermography (DIRT) is increasingly being utilized for perforator selection and perfusion assessment in reconstructive mi...

Feasibility of transperineal prostate biopsy guided by fusion of [18F]F-PSMA-1007 PET/MRI with real-time transrectal ultrasound. Prostate cancer classification using imaging biomarkers and radiomics in PIRADS 3 lesions.

OBJECTIVE: To assess the diagnostic feasibility of transperineal biopsy guided by fusion of PET/MRI with [18F]F-PSMA-1007 and real-time transrectal ul...