How few cancer cells can be detected by positron emission tomography? A frequent question addressed by an in vitro study

Barbara M Fischer, Minna W B Olsen, Carsten D Ley, Thomas L Klausen, Jann Mortensen, Liselotte Højgaard, Paul E G Kristjansen

Abstract

PURPOSE: Positron emission tomography (PET) has gained widespread use in cancer diagnosis and treatment, but how many malignant cells are required for a tumour to be detected by PET?

METHODS: Three human cancer cell lines [glioblastoma and two subtypes of small cell lung cancer (SCLC)] in concentrations from 10(4) to 10(7) were seeded on six-well plates or plastic tubes and treated with [(18)F]fluorodeoxy-glucose (FDG) in vitro. FDG retention was measured in a PET/CT scanner and in a calibrated well counter. The clinical situation was simulated using a cylinder phantom with a background concentration of FDG.

RESULTS: The theoretical detection limit was found to be around 10(5) malignant cells. In a cylinder phantom the detection limit was increased by a factor of 10. The FDG retention by the glioblastoma cell line was significantly higher than the activity of the SCLC cell line. FDG retention measured by PET and a gamma counter was closely correlated to the number of cells and a linear relationship was found.

DISCUSSION: The detection limit of PET is in the magnitude of 10(5) to 10(6) malignant cells. The experimental set-up was robust and well suited as a platform for further investigations of factors influencing the detection limit of PET.

Original languageEnglish
JournalEuropean Journal of Nuclear Medicine and Molecular Imaging
Volume33
Issue number6
Pages (from-to)697-702
Number of pages6
ISSN1619-7070
DOIs
Publication statusPublished - Jun 2006
Externally publishedYes

Keywords

  • Carcinoma, Small Cell/diagnostic imaging
  • Cell Count/methods
  • Cell Line, Tumor
  • Fluorodeoxyglucose F18/pharmacokinetics
  • Glioblastoma/diagnostic imaging
  • Humans
  • Lung Neoplasms/diagnostic imaging
  • Positron-Emission Tomography/methods
  • Reproducibility of Results
  • Sensitivity and Specificity

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