Latest AI and machine learning research in nuclear medicine for healthcare professionals.
OBJECTIVE: Mild cognitive impairment (MCI) is an intermediary stage between typical cognitive aging and dementia. Identifying reliable biomarkers for early detection of MCI is crucial for slowing disease progression. This study explored multimodal biomarkers associated with amyloid-positive MCI and assessed wearable EEG/ERP and MRI features using machine learning. METHODS: This study included 70 p...
BACKGROUND: The aim of this novel study was to explore the possibility of the development of a machine learning (ML) model that can predict early response to radioactive iodine (RAI) therapy in patients with hyperthyroidism on the basis of demographic, clinical, laboratory, and imaging features. METHODS: A total of 914 patients who received RAI for the treatment of hyperthyroidism between January ...
BACKGROUND: Automatic segmentation of gliomas on amino acid PET is essential for quantitative tumor assessment, a pillar in monitoring gliomas under t...
Positron emission tomography (PET) has been used in pediatric oncology since the modality gained traction 20 years ago but has been used more sparingl...
The common marmoset is a key model in translational neuroscience, yet the reliance on anesthesia for neuroimaging introduces significant confounds. To...
Small cell lung cancer (SCLC) is an aggressive pulmonary neuroendocrine carcinoma characterized by rapid progression and early metastasis. Despite rec...
OBJECTIVE: To evaluate the feasibility of cerebral computed tomography angiography (CTA) obtained with reduced iodine and low radiation at 70 kVp and ...
Ewing sarcoma is a highly aggressive small round cell sarcoma primarily affecting children and adolescents. Imaging plays a central role from diagnosi...
OBJECTIVE: Microsatellite instability (MSI) has emerged as a key predictive biomarker for chemotherapy and immunotherapy response, and as a prognostic...
BACKGROUND: Accurate pretreatment assessment of the extent of tumor invasion and status of cervical lymph node metastasis is essential for staging and...
90Y-labeled microsphere (90Y-microsphere) hepatic arterial radioembolization is a direct treatment for hepatic neoplasms. Before therapy, the fraction...
Long axial field-of-view (AFOV) PET-CT instruments have significantly higher sensitivity than conventional PET scanners allowing for reduced scan time...
CONTEXT: Incidental thyroid findings (ITFs) are increasingly detected on imaging performed for non-thyroid indications. Their prevalence, features, an...
Multimodal medical imaging aims to enhance analysis by combining complementary anatomical and functional information. However, access to functional mo...
This study aims to develop an integrated waste to sensor platform that couples photocatalytic PET depolymerization with on stream quantification of co...
Here the current and emerging roles of brain positron emission tomography (PET) in Alzheimer's disease (AD) in the era of anti-amyloid-β antibody ther...
Tuberculosis (TB) remains a leading infectious cause of morbidity and mortality worldwide, and major diagnostic and therapeutic challenges persist des...
Achieving high image quality for temporal frames in dynamic positron emission tomography (PET) is challenging due to the limited statistic especially ...
Graves' disease (GD) is an autoimmune entity that had an unchanged treatment paradigm for more than half a century with radioactive iodine, antithyroi...
BACKGROUND AND PURPOSE: Shortening PET/CT acquisition without degrading diagnostic or quantitative performance would improve patient comfort and scann...