Quantification of [18F]afatinib using PET/CT in NSCLC patients: a feasibility study

E A van de Stadt1,2, M Yaqub3,4, A A Lammertsma3,4

  • 1Department of Pulmonology, Amsterdam UMC location VUmc, Amsterdam, the Netherlands. e.vandestadt@amsterdamumc.nl.

EJNMMI Research
|August 18, 2020
PubMed
Abstract

Insights

Positron emission tomography (PET) with [18F]afatinib can identify non-small cell lung cancer (NSCLC) patients who will benefit from EGFR tyrosine kinase inhibitor (TKI) therapy. The irreversible two-tissue compartment model best quantifies tracer uptake.

Area of Science:

  • Nuclear medicine imaging
  • Pharmacokinetics
  • Oncology

Background:

  • Epidermal growth factor receptor (EGFR) tyrosine kinase inhibitors (TKIs) like afatinib benefit only a subset of non-small cell lung cancer (NSCLC) patients.
  • Positron emission tomography (PET) with [18F]afatinib shows potential for identifying responsive NSCLC patients.
  • Accurate quantification of [18F]afatinib tumor uptake is crucial for treatment selection.

Purpose of the Study:

  • To determine the optimal pharmacokinetic model for quantifying [18F]afatinib uptake in NSCLC tumors.
  • To evaluate different input functions and simplified measures for accurate tracer quantification.
  • To assess the correlation between various kinetic models and simplified uptake parameters.

Main Methods:

  • Dynamic [18F]afatinib PET scans were performed in 10 NSCLC patients.
  • Three pharmacokinetic plasma input models were evaluated using metabolite-corrected sampler-based and image-derived input functions.
  • The Akaike information criterion (AIC) was used to select the best model.
  • Correlation analysis was performed between arterial input functions and image-derived input functions (IDIF).
  • Perfusion dependency and simplified uptake measures, such as tumor-to-blood ratio (TBR), were assessed.

Main Results:

  • The irreversible two-tissue compartment model (2T3K_vb) with a metabolite-corrected sampler-based input function was the best fit based on AIC.
  • A very strong correlation (r2 = 0.93) was observed between plasma-based input functions and metabolite-corrected IDIF.
  • The tumor-to-blood ratio over the 60- to 90-min interval (TBR60-90) demonstrated excellent correlation with the preferred pharmacokinetic model.
  • Tumor uptake of [18F]afatinib was found to be independent of tumor perfusion.

Conclusions:

  • The 2T3K_vb model is the preferred pharmacokinetic model for quantifying [18F]afatinib uptake in NSCLC tumors.
  • [18F]afatinib PET imaging can accurately quantify tracer uptake in NSCLC.
  • TBR60-90 is a reliable simplified method for assessing [18F]afatinib tumor uptake, correlating well with the gold standard model.

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