EJNMMI Research (Jul 2021)

[18F]FDG PET/MRI enables early chemotherapy response prediction in pancreatic ductal adenocarcinoma

  • Felix N. Harder,
  • Friederike Jungmann,
  • Georgios A. Kaissis,
  • Fabian K. Lohöfer,
  • Sebastian Ziegelmayer,
  • Daniel Havel,
  • Michael Quante,
  • Maximillian Reichert,
  • Roland M. Schmid,
  • Ihsan Ekin Demir,
  • Helmut Friess,
  • Moritz Wildgruber,
  • Jens Siveke,
  • Alexander Muckenhuber,
  • Katja Steiger,
  • Wilko Weichert,
  • Isabel Rauscher,
  • Matthias Eiber,
  • Marcus R. Makowski,
  • Rickmer F. Braren

DOI
https://doi.org/10.1186/s13550-021-00808-4
Journal volume & issue
Vol. 11, no. 1
pp. 1 – 11

Abstract

Read online

Abstract Purpose In this prospective exploratory study, we evaluated the feasibility of [18F]fluorodeoxyglucose ([18F]FDG) PET/MRI-based chemotherapy response prediction in pancreatic ductal adenocarcinoma at two weeks upon therapy onset. Material and methods In a mixed cohort, seventeen patients treated with chemotherapy in neoadjuvant or palliative intent were enrolled. All patients were imaged by [18F]FDG PET/MRI before and two weeks after onset of chemotherapy. Response per RECIST1.1 was then assessed at 3 months [18F]FDG PET/MRI-derived parameters (MTV50%, TLG50%, MTV2.5, TLG2.5, SUVmax, SUVpeak, ADCmax, ADCmean and ADCmin) were assessed, using multiple t-test, Man–Whitney-U test and Fisher’s exact test for binary features. Results At 72 ± 43 days, twelve patients were classified as responders and five patients as non-responders. An increase in ∆MTV50% and ∆ADC (≥ 20% and 15%, respectively) and a decrease in ∆TLG50% (≤ 20%) at 2 weeks after chemotherapy onset enabled prediction of responders and non-responders, respectively. Parameter combinations (∆TLG50% and ∆ADCmax or ∆MTV50% and ∆ADCmax) further improved discrimination. Conclusion Multiparametric [18F]FDG PET/MRI-derived parameters, in particular indicators of a change in tumor glycolysis and cellularity, may enable very early chemotherapy response prediction. Further prospective studies in larger patient cohorts are recommended to their clinical impact.

Keywords