Results 41 to 50 of about 61,140 (175)
AutoPET Challenge: Combining nn-Unet with Swin UNETR Augmented by Maximum Intensity Projection Classifier [PDF]
arXiv, 2022 Tumor volume and changes in tumor characteristics over time are important biomarkers for cancer therapy. In this context, FDG-PET/CT scans are routinely used for staging and re-staging of cancer, as the radiolabeled fluorodeoxyglucose is taken up in regions of high metabolism. Unfortunately, these regions with high metabolism are not specific to tumors
arxiv
Frontiers in MedicinePurposeThis meta-analysis aimed to evaluate the comparative diagnostic accuracy of [18F]FDG PET/CT versus [18F]FDG PET/MRI in identifying lymph node metastases in individuals with nasopharyngeal carcinoma.MethodsA comprehensive search was executed across
Junfang Lei +8 more
doaj +1 more source
Automatic Tumor Segmentation via False Positive Reduction Network for Whole-Body Multi-Modal PET/CT Images [PDF]
arXiv, 2022 Multi-modality Fluorodeoxyglucose (FDG) positron emission tomography / computed tomography (PET/CT) has been routinely used in the assessment of common cancers, such as lung cancer, lymphoma, and melanoma. This is mainly attributed to the fact that PET/CT combines the high sensitivity for tumor detection of PET and anatomical information from CT.
arxiv
Heterogeneous marrow uptake on FDG PET/CT is not always a sign of lymphomatous involvement
World Journal of Nuclear Medicine, 2016 Heterogeneous patchy marrow uptake on fluorodeoxyglucose positron emission tomography/computed tomography (FDG-PET/CT) in a histologically proven case of lymphoma is usually considered a virtually pathognomonic sign of lymphomatous involvement.
Arun Reddy Gorla +4 more
doaj +1 more source
Journal of Radiation and Cancer Research, 2022 Purpose: Vertebral compression fractures frequently present with back pain and are determined by magnetic resonance (MR) imaging. However, fluorodeoxyglucose positron emission tomography/computed tomography (FDG PET/CT) is performed to determine the ...
Zehra Pınar Koç +3 more
doaj +1 more source
Exploring Vanilla U-Net for Lesion Segmentation from Whole-body FDG-PET/CT Scans [PDF]
arXiv, 2022 Tumor lesion segmentation is one of the most important tasks in medical image analysis. In clinical practice, Fluorodeoxyglucose Positron-Emission Tomography~(FDG-PET) is a widely used technique to identify and quantify metabolically active tumors. However, since FDG-PET scans only provide metabolic information, healthy tissue or benign disease with ...
arxiv
Frontiers in Neurology, 2023 PurposeA general glucose metabolism pattern is observed in patients with anti-leucine-rich glioma-inactivated 1 (LGI1) antibody encephalitis; however, it is unclear whether further subregional metabolic differences exist.
Kai Wang +5 more
doaj +1 more source
Domain-adapted large language models for classifying nuclear medicine reports [PDF]
arXiv, 2023 With the growing use of transformer-based language models in medicine, it is unclear how well these models generalize to nuclear medicine which has domain-specific vocabulary and unique reporting styles. In this study, we evaluated the value of domain adaptation in nuclear medicine by adapting language models for the purpose of 5-point Deauville score ...
arxiv
Protection against Shiga Toxins
Toxins, 2017 Shiga toxins consist of an A-moiety and five B-moieties able to bind the neutral glycosphingolipid globotriaosylceramide (Gb3) on the cell surface.
Simona Kavaliauskiene +3 more
doaj +1 more source
A Localization-to-Segmentation Framework for Automatic Tumor Segmentation in Whole-Body PET/CT Images [PDF]
arXiv, 2023 Fluorodeoxyglucose (FDG) positron emission tomography (PET) combined with computed tomography (CT) is considered the primary solution for detecting some cancers, such as lung cancer and melanoma. Automatic segmentation of tumors in PET/CT images can help reduce doctors' workload, thereby improving diagnostic quality. However, precise tumor segmentation
arxiv