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FDG PET is the standard PET scan. A radioactive sugar shows which tissues are burning glucose fast, which most cancers do.
FDG PET uses 18F-fluorodeoxyglucose, a radioactive sugar analogue taken up through GLUT transporters and trapped after phosphorylation by hexokinase, exploiting the Warburg effect by which most cancers burn glucose fast. It is the standard PET scan for staging and response in lymphoma (scored on the Deauville scale), lung cancer, melanoma, head and neck cancer and oesophageal cancer, with universal availability and decades of validation. Its limits are biological: infection and inflammation are also hot, normal brain uptake creates a high background, and indolent tumours are poorly seen. It is weak in prostate cancer, low-grade neuroendocrine tumours, mucinous cancers and some breast cancers, which is why target-specific tracers such as PSMA and SSTR ligands exist. FDG PET shows which tissues are consuming glucose fastest, and most, though not all, cancers do.
FDG is taken up via GLUT transporters and trapped after phosphorylation by hexokinase.
Nothing in the corpus depends on this yet.
Dependencies are what this technology cannot be delivered without: manufacturing steps, instruments, software, upstream methods. See its full chain on the map.
The radioactive sugar used in almost every cancer PET scan, approved in the 1990s and made fresh each day by regional cyclotrons.
Query for this technology: (TITLE:"FDG PET" OR ABSTRACT:"FDG PET" OR TITLE:"18F-FDG PET/CT" OR ABSTRACT:"18F-FDG PET/CT") AND (cancer OR tumor OR tumour OR oncology OR carcinoma OR lymphoma OR leukemia OR leukaemia OR myeloma OR sarcoma OR melanoma OR glioma). Results are unfiltered search hits about FDG PET, not a curated reading list.
Shares Lymphomatoid papulosis, T-cell/histiocyte-rich large B-cell lymphoma, EBV-positive diffuse large B-cell lymphoma, High-grade B-cell lymphoma with MYC and BCL2 rearrangements (double-hit lymphoma).
Shares T-cell/histiocyte-rich large B-cell lymphoma, EBV-positive diffuse large B-cell lymphoma, High-grade B-cell lymphoma with MYC and BCL2 rearrangements (double-hit lymphoma), Enteropathy-associated T-cell lymphoma.
Shares Lymphomatoid papulosis, Ocular adnexal MALT lymphoma, Enteropathy-associated T-cell lymphoma, Plasmablastic lymphoma.
Shares IELSG37, T-cell/histiocyte-rich large B-cell lymphoma, EBV-positive diffuse large B-cell lymphoma, High-grade B-cell lymphoma with MYC and BCL2 rearrangements (double-hit lymphoma).
Shares Lymphomatoid papulosis, EBV-positive diffuse large B-cell lymphoma, Mediastinal grey zone lymphoma, Primary cutaneous anaplastic large cell lymphoma.
Shares Lymphomatoid papulosis, T-cell/histiocyte-rich large B-cell lymphoma, High-grade B-cell lymphoma with MYC and BCL2 rearrangements (double-hit lymphoma), Ocular adnexal MALT lymphoma.
Shares T-cell/histiocyte-rich large B-cell lymphoma, EBV-positive diffuse large B-cell lymphoma, Plasmablastic lymphoma, ALK-negative anaplastic large cell lymphoma.
Shares Enteropathy-associated T-cell lymphoma, ALK-negative anaplastic large cell lymphoma, ALK-positive anaplastic large cell lymphoma, Primary large B-cell lymphoma of the testis.
Open-source software, hardware and data projects catalogued by a third party, the Open Medical Registry, that bear on this technology. Listing is not endorsement; check each project's own licence and validation before clinical use.
This data-centric AI repository implements a robust deep learning method (LFBNet) for fully automated tumor segmentation in whole-body [18]F-FDG PET/CT images.
From the Open Medical Registry (openmedical.sh), an MIT-licensed catalogue of open-source medicine. Blurbs are one line from each registry record; every project keeps its own licence.