Nuclear Medicine

Local recurrence in rectal cancer: from detection to structured reporting.

Despite advances in total mesorectal excision and neoadjuvant therapy, locally recurrent rectal cancer remains a clinically important source of pelvic morbidity and cancer-related mortality, affecting approximately 2-10% of the treated patients. Most recurrences develop within three years of surgery and often arise near the surgical bed, where fibrosis and distorted anatomy can delay detection. Ea...

Effect of genetic factors on [18F]FDG PET metabolic phenotypes in dementia with Lewy bodies.

BACKGROUND: Neuroimaging with [18F]FDG PET can support the diagnosis of Dementia with Lewy Bodies (DLB), but it remains unclear how genetic factors influence metabolic phenotypes. OBJECTIVES: To determine whether GBA1 and APOE ε4 status are associated with diverging [18F]FDG PET metabolic patterns in DLB. METHODS: We analyzed [18F]FDG PET scans from 43 patients with DLB stratified by GBA1 and APOE...

Advanced imaging in systemic sclerosis: distinguishing activity from damage across organ systems.

PURPOSE OF REVIEW: A central challenge in systemic sclerosis (SSc) is the inability to distinguish active, potentially reversible disease, from damage...

Robust Stitching Interface and Deep Learning Empowered Hydrogel Human-Machine Interface.

Mechanical mismatch and weak interfacial adhesion between hydrogels and encapsulation layers, particularly polyethylene terephthalate (PET), remain th...

Deep unrolled regularization for limited-angle dual-panel positron emission mammography.

A dual-panel Positron Emission Mammography (PEM) scanner is a breast-dedicated device with better spatial resolution and sensitivity than conventional...

Estimation of dose and linear energy transfer for multi-spot single-energy proton probing beams using in-beam PET and neural network.

In-beam positron emission tomography (PET) enables online measurements of proton-induced positron-emitting activity and has been widely investigated f...

Evaluation of Signal Enhancement Techniques for Motion Correction for High Temporal Resolution Functional PET.

Functional Positron Emission Tomography (fPET) data offers novel insights into brain energy demands and molecular connectivity. Recent advances in imp...

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...

Two-stage deep learning framework for the restoration of incomplete-ring PET images.

Positron Emission Tomography (PET) is an important molecular imaging tool widely used in medicine. Traditional PET systems rely on complete detector r...

Focal Vascular Photopenia as a Metabolic Signature of Pulmonary Embolism on AI-Enhanced 18F-FDG PET/CT.

Artificial intelligence (AI)-enhanced reconstruction of 18F-FDG PET/CT may reveal important metabolic patterns barely visible on standard reconstructi...

Early Follicular Lymphoma Grading via PET-CT Fusion and Bayesian Deep Learning.

Accurate grading of follicular lymphoma (FL) is crucial for personalized treatment, but biopsy-based histopathology is invasive and limited by observe...

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...

A projection-domain deep learning approach for respiratory motion correction of myocardial perfusion imaging using a multi-pinhole solid-state SPECT.

BACKGROUND: Myocardial perfusion imagining (MPI) is a nuclear medicine technique used in the assessment of coronary artery disease. Differences in the...

Scanner-agnostic artificial intelligence approach for fast bone scintigraphy.

PURPOSE: Current bone scintigraphy protocols often demand full-count, 10-15 min scans to preserve image quality, and existing deep-learning (DL) denoi...

Classification of tau status with machine learning models in amyloid-positive cohorts.

INTRODUCTION: Although tau positron emission tomography (PET) imaging is effective for staging tau pathology, it is limited clinically by cost and ava...

Differential performance of statistical versus machine learning methods in partial volume correction in oncologic F18-FDG PET/CT scanning.

Partial volume effects (PVE) in positron emission tomography (PET) imaging introduce quantification inaccuracies, particularly in small or heterogeneo...

Multimodal Contrast-Free Pulmonary Perfusion Imaging by Integrating CT and MRI for Enhanced Lung Function Assessment.

PURPOSE: Anatomy image-driven lung function imaging methods have been explored for thoracic radiotherapy, but most contrast-free approaches rely on un...

Fluorodeoxyglucose-PET in Melanoma and Soft-Tissue Sarcoma: Current Applications, Challenges, and Future Directions.

Fluorodeoxyglucose PET/computed tomography plays a central role in the management of melanoma and soft-tissue sarcoma by enabling comprehensive metabo...

Radiolabeling of clinically approved nanomedicine carriers: lessons from albumin- and liposome-based systems for biomaterial design and translational imaging.

Radiolabeling is a powerful approach for investigating the in vivo behavior of nanomedicine carriers beyond conventional pharmacokinetic analysis. Thi...

Impact of image reconstruction algorithms on histogram analysis of iodine concentration for assessing chemotherapy response in pancreatic ductal adenocarcinoma.

PURPOSE: To evaluate the impact of image reconstruction algorithms on histogram analysis of iodine concentration (IC) derived from dual-energy CT (DEC...