ArticleMolecular imaging and biology2026
Automated cGMP Radiosynthesis of [
Article in Molecular imaging and biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
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0 citing papers in PubMed.
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Authors and funding
9 authors.
Funding
Abstract
backgroundEpidermal Growth Factor Receptor (EGFR) overexpression in Head and Neck Squamous Cell Carcinoma (HNSCC) is well documented and strongly correlated with aggressive phenotypes. As such EGFR is an excellent choice for molecular imaging of HNSCC as the high overexpression levels allow for a specific marker of tumors. Currently the only established EGFR radiopharmaceuticals that have been translated into human subjects are labeled versions of antibodies and antibody fragments, which all have slow pharmacokinetics and have low specificity due to high background and blood pool. [
resultsTo facilitate clinical trials a fully automated radiosynthesis procedure for [
conclusionsA fast, reliable and efficient automated radiosynthesis was developed using a commercial cassette-based module. This will enable clinical trials work as well as simple method transfer to alternate manufacturing sites; as well as being applicable to small biologic targeting vector radiolabeling.
Indexed as
Identifiers
42423882What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.