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Increased [18F]FDG uptake of radiation-induced giant cells: a single-cell study in lung cancer models.
Das, Neeladrisingha; Nguyen, Hieu T M; Lu, Wan-Jin; Natarajan, Arutselvan; Khan, Syamantak; Pratx, Guillem.
Afiliación
  • Das N; Department of Radiation Oncology, Stanford University, Stanford, CA USA.
  • Nguyen HTM; Department of Radiation Oncology, Stanford University, Stanford, CA USA.
  • Lu WJ; Institute for Stem Cell Biology and Regenerative Medicine, Stanford University, Stanford, CA USA.
  • Natarajan A; Department of Radiology, Stanford University, Stanford, CA USA.
  • Khan S; Department of Radiation Oncology, Stanford University, Stanford, CA USA.
  • Pratx G; Department of Radiation Oncology, Stanford University, Stanford, CA USA.
Npj Imaging ; 2(1): 14, 2024.
Article en En | MEDLINE | ID: mdl-38912527
ABSTRACT
Positron emission tomography (PET), a cornerstone in cancer diagnosis and treatment monitoring, relies on the enhanced uptake of fluorodeoxyglucose ([18F]FDG) by cancer cells to highlight tumors and other malignancies. While instrumental in the clinical setting, the accuracy of [18F]FDG-PET is susceptible to metabolic changes introduced by radiation therapy. Specifically, radiation induces the formation of giant cells, whose metabolic characteristics and [18F]FDG uptake patterns are not fully understood. Through a novel single-cell gamma counting methodology, we characterized the [18F]FDG uptake of giant A549 and H1299 lung cancer cells that were induced by radiation, and found it to be considerably higher than that of their non-giant counterparts. This observation was further validated in tumor-bearing mice, which similarly demonstrated increased [18F]FDG uptake in radiation-induced giant cells. These findings underscore the metabolic implications of radiation-induced giant cells, as their enhanced [18F]FDG uptake could potentially obfuscate the interpretation of [18F]FDG-PET scans in patients who have recently undergone radiation therapy.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Npj Imaging Año: 2024 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Npj Imaging Año: 2024 Tipo del documento: Article