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[18F]FDG PET/MRI enables early chemotherapy response prediction in pancreatic ductal adenocarcinoma.
Harder, Felix N; Jungmann, Friederike; Kaissis, Georgios A; Lohöfer, Fabian K; Ziegelmayer, Sebastian; Havel, Daniel; Quante, Michael; Reichert, Maximillian; Schmid, Roland M; Demir, Ihsan Ekin; Friess, Helmut; Wildgruber, Moritz; Siveke, Jens; Muckenhuber, Alexander; Steiger, Katja; Weichert, Wilko; Rauscher, Isabel; Eiber, Matthias; Makowski, Marcus R; Braren, Rickmer F.
Affiliation
  • Harder FN; Institute of Diagnostic and Interventional Radiology, School of Medicine, Technical University of Munich, Munich, Germany.
  • Jungmann F; Institute of Diagnostic and Interventional Radiology, School of Medicine, Technical University of Munich, Munich, Germany.
  • Kaissis GA; Institute of Diagnostic and Interventional Radiology, School of Medicine, Technical University of Munich, Munich, Germany.
  • Lohöfer FK; Department of Computing, Faculty of Engineering, Imperial College of Science, Technology and Medicine, London, SW7 2AZ, UK.
  • Ziegelmayer S; Institute of Diagnostic and Interventional Radiology, School of Medicine, Technical University of Munich, Munich, Germany.
  • Havel D; Institute of Diagnostic and Interventional Radiology, School of Medicine, Technical University of Munich, Munich, Germany.
  • Quante M; Institute of Diagnostic and Interventional Radiology, School of Medicine, Technical University of Munich, Munich, Germany.
  • Reichert M; Internal Medicine II, Faculty of Medicine, Freiburg University Hospital, Freiburg, Germany.
  • Schmid RM; Klinik und Poliklinik für Innere Medizin II, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.
  • Demir IE; German Cancer Consortium (DKTK), Partner Site Munich, Munich, Germany.
  • Friess H; Klinik und Poliklinik für Innere Medizin II, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.
  • Wildgruber M; German Cancer Consortium (DKTK), Partner Site Munich, Munich, Germany.
  • Siveke J; Department of Surgery, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.
  • Muckenhuber A; Department of Surgery, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.
  • Steiger K; Klinik und Poliklinik für Radiologie, Klinikum der Universität München, Munich, Germany.
  • Weichert W; Institute for Developmental Cancer Therapeutics, West German Cancer Center, University Hospital Essen, Essen, Germany.
  • Rauscher I; Institute of Pathology, Technical University of Munich, Munich, Germany.
  • Eiber M; Institute of Pathology, Technical University of Munich, Munich, Germany.
  • Makowski MR; Institute of Pathology, Technical University of Munich, Munich, Germany.
  • Braren RF; Department of Nuclear Medicine, Technical University Munich, Klinikum rechts der Isar, Munich, Germany.
EJNMMI Res ; 11(1): 70, 2021 Jul 28.
Article in En | MEDLINE | ID: mdl-34322781
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.
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Full text: 1 Database: MEDLINE Type of study: Observational_studies / Prognostic_studies / Risk_factors_studies Language: En Year: 2021 Type: Article

Full text: 1 Database: MEDLINE Type of study: Observational_studies / Prognostic_studies / Risk_factors_studies Language: En Year: 2021 Type: Article