Nuclear Medicine

Multimodal Artificial Intelligence for Early Detection and Precision Management of Inflammatory and Infiltrative Cardiomyopathies.

BACKGROUND: Inflammatory and infiltrative cardiomyopathies, including cardiac sarcoidosis, transthyretin amyloidosis, and autoimmune myocarditis, are frequently underrecognized until advanced myocardial dysfunction develops. Conventional diagnosis of inflammatory and infiltrative cardiomyopathies depends on multimodality imaging and clinical integration, yet interpretation remains complex and dela...

Automatic computation of breast cancer biomarkers from multiple [Formula: see text] F-FDG PET image segmentation.

Neoadjuvant chemotherapy is a standard clinical practice for tumor downsizing in breast cancer, with [Formula: see text]F-FDG Positron Emission Tomography (PET) being an essential tool for predicting complete pathological response and monitoring treatment. Our work aims to leverage PET imaging for automated segmentation of breast lesions and biomarker analysis before and after the first course of ...

Assessing the suitability of automated registration and segmentation for dosimetry calculations in SIRT treatment planning.

BACKGROUND: Selective internal radiation therapy (SIRT) increasingly relies on accurate magnetic resonance imaging (MRI) to computed tomography (CT) r...

A workflow utilizing general-purpose large language models for efficient structuring and data mining of bone scintigraphy narratives.

Whole-body bone scintigraphy is pivotal for skeletal evaluation in oncological monitoring, yet the unstructured nature of clinical reports impedes eff...

An interpretable PET/CT-based radiomic-clinical model for predicting bone marrow involvement in follicular lymphoma: comparison of pelvic and spine-pelvis VOI frameworks.

PURPOSE: To investigate the feasibility of non-invasively identifying bone marrow involvement (BMI) in follicular lymphoma (FL) using baseline 18F-FDG...

MedNext-Insight Model for Automated Metabolic Tumor Volume Delineation on Computed Tomography and Prognostic Value in Nasopharyngeal Carcinoma.

PURPOSES: To develop a deep learning model for automated metabolic tumor volume (MTV) delineation on routine computed tomography (CT) without positron...

Image-derived input functions for [18F]LW223 and [18F]SynVesT-1 PET in the rodent determined using an autoencoder (IDIF-AE).

Objective.Quantitative analysis of dynamic positron emission tomography (PET) scans requires knowledge of the arterial input function (AIF). Existing ...

Influence of scintillation light confinement on depth-of-interaction measurement performance in a single-Ended readout PET detector.

Continuous depth-of-interaction (cDOI) detectors enable single-ended readout in positron emission tomography (PET) by encoding the interaction depth i...

Adaptive patch sampling and location-aware reasoning for whole body PET-CT multi-organ segmentation.

Patch-wise learning is a common strategy for training neural networks on large-scale dense prediction problems, yet existing approaches assume uniform...

CT-less TOF PET: challenges and innovations for quantitative imaging.

A decade has passed since the groundbreaking work by Defrise et al. (2012), which demonstrated that TOF PET imaging is self-correcting for a variety o...

Generalizable CT-free PET attenuation and scatter correction via few-shot cross domain adaptation.

The rapid advancements in PET technology, coupled with the need for accurate and efficient imaging, necessitate the development of robust and generali...

Development of AI-based dopamine transporter (DAT) image generation technique using early phase [18F]-FP-CIT PET imaging.

OBJECTIVES: To develop and validate a deep learning-based model capable of generating dopamine transporter (DAT) images from early-phase [18F]-FP-CIT ...

Diagnostic Performance Evaluation of Clinical and AI Risk Models in Patients Referred for Cardiac Amyloidosis Testing.

BACKGROUND: To improve screening for cardiac amyloidosis (CA), several models using artificial intelligence (AI) and conventional statistics have been...

Multimodality Imaging in Myocarditis: Integrating Etiology, Diagnosis, and Risk Stratification.

PURPOSE OF REVIEW: Myocarditis presents with heterogenous clinical manifestations and remains diagnostically challenging due to nonspecific biomarkers...

SPECT hybrid approach combining conventional and deep features for early detection of Parkinson's disease.

The early diagnosis of Parkinson's disease (PD) using SPECT imaging continues to be challenging due to the subtle dopaminergic deficits present in the...

Evaluation of the time‑of‑flight-enhanced deep learning image reconstruction method in 18F‑FDG PET/CT for breast cancer imaging.

BACKGROUND: Breast cancer is the most frequently diagnosed cancer among women. Accurate diagnosis and effective management rely heavily on high-qualit...

Precision theranostics in oncology: integrating antibody-drug conjugates, radioimmunotherapy, and immuno‑PET for adaptive cancer care.

The century-old vision of a "magic bullet" in oncology is being realized through the paradigm of precision theranostics, which formally integrates tar...

Zero-TE MRI-based attenuation correction for bone components on chest [18F] FDG PET/MRI: accuracy, repeatability, and external validation of an unsupervised deep learning approach using unpaired PET/CT data.

OBJECTIVE: In positron emission tomography (PET)/magnetic resonance imaging (MRI), attenuation correction (AC) for PET of the head is achieved by MRI ...

Mapping the Research Landscape and Emerging Trends in Hashimoto's Encephalopathy: A CiteSpace-Based Visualization Analysis.

INTRODUCTION: Hashimoto's thyroiditis is the leading cause of hypothyroidism in iodine-sufficient regions and is often accompanied by various comorbid...

Comparison of automated robotic arm-assisted PET/computed tomography-guided metabolic bone marrow biopsy with conventional bone marrow trephine biopsy for evaluating bone marrow infiltration in newly diagnosed lymphoma.

OBJECTIVES: Bone marrow involvement (BMI) upstages lymphoma and influences prognosis and treatment. Conventional bone marrow trephine biopsy (BMTB) ma...