Lymphoma

Calibration-Free Estimation of Cerebrovascular Reactivity From Resting-State BOLD fMRI Using Reconstructed Respiratory Fluctuations.

PURPOSE: Cerebrovascular reactivity (CVR) provides an important index of vascular health and is conventionally quantified using a hypercapnic gas or breath-hold challenge in conjunction with blood-oxygen-level-dependent functional magnetic resonance imaging (BOLD-fMRI). Such approaches require a dedicated extra scan and, for hypercapnia, specialized equipment for gas administration and external ph...

Deep learning-enabled tissue engineering scaffold classification using cell morphology.

The physical properties and architecture of biomaterial scaffolds regulate cell morphology and function; however, evaluating these effects is often slow, low-throughput, and destructive, thereby limiting scalable biomaterial design and optimization. We investigated whether quantitative analysis of single-cell three-dimensional (3D) morphology could provide a non-destructive surrogate readout of sc...

Radiation dose optimization and dosimetry in pediatric nuclear medicine: Current concepts and future directions.

Pediatric nuclear medicine plays an essential role in the diagnosis and treatment of a wide range of oncologic and non-oncologic diseases while requir...

Beyond the flow: the evolving role of magnetic resonance imaging in arteriovenous shunt evaluation.

Although digital subtraction angiography remains the gold standard for the diagnosis and treatment planning of intracranial arteriovenous shunts (AVS)...

Beyond Diagnosis: Magnetic Resonance Imaging-Based Imaging Biomarkers for Tumor Biology, Prognosis, and Clinical Decision-Making in Hepatocellular Carcinoma.

Hepatocellular carcinoma (HCC) is a biologically heterogeneous malignancy staged according to tumor burden and clinical status. Molecular and histopat...

Predicting Outcomes of Traumatic Brain Injury Using Machine Learning Models Among Patients at Kilimanjaro Christian Medical Centre, Tanzania: A Registry-Based Cohort Study.

BACKGROUND: Traumatic brain injury (TBI) remains a major global health burden, disproportionately affecting low- and middle-income countries (LMICs) w...

A Multimodal Ultrasound Radiomics Model Integrating Contrast-Enhanced Phases: Retrospective Temporal Test Cohort Evaluation and Comparison with Sonographers for Cervical Lymph Node Characterization.

RATIONALE AND OBJECTIVES: To develop a multimodal ultrasound radiomics model based on conventional ultrasound and three-phase contrast-enhanced ultras...

Validation of a deep learning-based system for sleep staging, arousal detection, and respiratory event scoring in atrial fibrillation patients.

PURPOSE: Obstructive sleep apnea is a common yet underdiagnosed sleep disorder in patients with atrial fibrillation (AF). Although polysomnography (PS...

MRI-based oxygen extraction fraction mapping using qBOLD, QSM, and hybrid QSM-qBOLD methods: Methodological advances, validation, and clinical applications.

Oxygen extraction fraction (OEF) is a physiological parameter reflecting the fraction of delivered arterial oxygen extracted by cerebral tissue, provi...

Deep learning-assisted mapping of dendritic spines using sequential 2D two-photon calcium imaging.

Neurons transform complex spatiotemporal synaptic inputs into structured action potential sequences. Excitatory inputs initiate or interact with dendr...

Retrieval-Augmented Generation in Radiology: A Scoping Review of Architectures, Imaging Applications, and Directions for Equitable Deployment.

Large language models (LLMs) are increasingly explored in radiology, yet concerns persist regarding hallucination and lack of factual grounding. Retri...

Haematological pre-staging of colorectal cancer: Longitudinal trends identify high-risk metastatic phenotypes 24 months prior to diagnosis.

BACKGROUND: The latent systemic phase of colorectal cancer (CRC) offers a critical but often missed window for early intervention. This study evaluate...

Non-transgenic rodent models associated with Alzheimer's disease: applications, evaluation, and perspectives.

Alzheimer's disease (AD) is a progressive neurodegenerative disorder. Familial AD accounts for less than 1% of cases, while sporadic AD (SAD) accounts...

AI-Assisted Risk Stratification in Stage II Colorectal Cancer: Multi-Institutional Validation of Semantically-Enhanced Deep Learning.

BACKGROUND AND AIMS: Accurate risk stratification in stage II colorectal cancer is essential for treatment decision-making, as current guidelines reco...

Machine learning strategy to boost 1-deoxynojirimycin production through fermentation by Bacillus amyloliquefaciens.

The iminosugar 1-deoxynojirimycin (1-DNJ) is a pharmaceutically significant natural alkaloid with expanding therapeutic and nutraceutical applications...

Advancing cancer detection and treatment using longitudinal routine clinical data.

Cancer management remains fragmented across its continuum, from late-stage diagnosis and salvage therapies to non-personalized surveillance. Here, we ...

High FDG Uptake in the Non-cancerous Lung Predicts Immune-Related Adverse Events and Poor Prognosis in Patients with Lung Cancer Treated with Immune Checkpoint Inhibitors.

RATIONALE AND OBJECTIVES: Immune checkpoint inhibitors (ICIs) have improved survival in non-small cell lung cancer (NSCLC); however, predicting immune...

Time Is Aorta: Can Artificial Intelligence Improve Surgical Timelines in Acute Type A Aortic Dissection? A Comprehensive Review.

BACKGROUND AND AIMS: Acute Type A aortic dissection (ATAAD) is a surgical emergency in which delays in diagnosis, transfer, and operative activation i...

PET/CT-derived whole-body composition and survival in resectable NSCLC: double machine learning-based adjusted association analysis of intermuscular adiposity burden and sex-specific metabolic phenotypes.

PURPOSE: To evaluate whether whole-body PET/CT-derived body composition features are associated with survival in patients with resectable non-small ce...

Long-term prognostic impact of complete revascularisation defined by CT-derived fractional flow reserve.

BACKGROUND: Complete revascularisation has been associated with improved short-term outcomes in patients with coronary artery disease, but whether the...