Routine knee MRI protocols for 1.5 T and 3 T scanners, do not include T2*-w gradient echo (T2*W) images, which are useful in several clinical scenarios such as the assessment of cartilage, synovial blooming (deposition of hemosiderin), chondrocalcinosis and the evaluation of the physis in pediatric patients. Herein, we aimed to develop an open-source deep learning model that creates synthetic T2*W images of the knee using fat-suppressed intermediate-weighted images.

Tuberous sclerosis complex (TSC) is a multisystem genetic disorder. Focusing on central nervous system manifestations, this study developed an imaging-clinical model combining advanced diffusion MRI parameters with neurological clinical features to distinguish TSC1 vs. TSC2 genotypes.

Preoperative knowledge of the status of lymphovascular invasion (LVI) status in colorectal cancer (CRC) patients can provide valuable information for choosing appropriate treatment strategies. This study aimed to explore the value of heterogeneity features derived from the habitat analysis of F-fluorodeoxyglucose (FDG) positron emission tomography (PET) images in predicting LVI.

To investigate the magnetic resonance elastography (MRE)-derived pancreatic stiffness for predicting the occurrence of clinically relative postoperative pancreatic fistula (CR-POPF) in patients with partial pancreatectomy, and establish a predictive model for POPF before surgery.

Abdominal aortic aneurysm (AAA) is a potentially fatal condition that is often asymptomatic in its early stages, with treatment strategies that remain controversial due to limited predictive accuracy for rupture risk. Current clinical approaches primarily rely on aneurysm size and growth rates for risk assessment, which are insufficient for identifying high-risk individuals. This review focuses on preclinical models and the development of molecular imaging technologies, which offer high-spatial-resolution visualization of pathological processes at the molecular level. These advancements provide a promising opportunity to characterize AAA beyond anatomical dimensions and address existing gaps in early diagnosis and targeted therapy. We will discuss the progression of pathophysiological alterations in AAA, the principles underlying contrast agents and molecular probes, and recent advancements in vascular wall molecular imaging within preclinical models.

Cognitive decline is common in End-Stage Renal Disease (ESRD) patients, yet its neural mechanisms are poorly understood. This study investigates structural and functional brain network reconfiguration in ESRD patients transitioning to Mild Cognitive Impairment (MCI) and evaluates its potential for predicting MCI risk.

In 2025, the Centers for Medicare and Medicaid Services introduced a computed tomography (CT) dose measure for pay-for-performance programs. Hospitals employ diverse scanner fleets, but the impact of scanner technologies on dose benchmarking remains unclear. This study evaluates dose variation across scanner models and its benchmarking implications.

To construct and validate an interpretable machine learning (ML) radiomics model derived from multiparametric magnetic resonance imaging (MRI) images to differentiate between luminal and non-luminal breast cancer (BC) subtypes.

This study aimed to compare the diagnostic accuracy of the abbreviated MRI protocol (AP) with the full protocol (FP) in preoperative staging of locally advanced rectal cancer (LARC).

MRI proton density fat fraction (MRI-PDFF), controlled attenuation parameters (CAP), and attenuation coefficients (AC) are capable of steatosis characterization and may be useful as noninvasive alternatives for diagnosing hepatic steatosis.

Coronary chronic total occlusion (CTO) and subtotal occlusion (STO) pose diagnostic challenges, differing in treatment strategies. Artificial intelligence and radiomics are promising tools for accurate discrimination. This study aimed to develop deep learning (DL) and radiomics models using coronary computed tomography angiography (CCTA) to differentiate CTO from STO lesions and compare their performance with that of the conventional method.

The therapeutic efficacy of irreversible electroporation (IRE) for treating subcapsular hepatocellular carcinoma (HCC) remains under-explored. The current study aimed to compare IRE and radiofrequency ablation (RFA) outcomes in an HCC patient group.

Thermal ablation (TA) has demonstrated promising treatment efficacy and safety in T1N0M0 papillary thyroid carcinoma (PTC). However, the efficacy and safety of TA for T2N0M0 PTC still lack sufficient evidence.