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2022-RA-911-ESGO 18F-FDG-PET/CT in orthotopic mouse models of endometrial cancer: multiparametric characterization and evaluation of treatment response
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  1. Jenny Lyngstad1,2,
  2. Hege Fredriksen Berg3,4,
  3. Tina Fonnes3,4,
  4. Camilla Krakstad3,4,
  5. Ingfrid Salvesen Haldorsen1,2 and
  6. Heidi Espedal1,2,5
  1. 1Mohn Medical Imaging and Visualisation Centre, Department of Radiology, Haukeland University Hospital, Bergen, Norway
  2. 2Department of Clinical Medicine, University of Bergen, Bergen, Norway
  3. 3Centre for Cancer Biomarkers, Department of Clinical Science, University of Bergen, Bergen, Norway
  4. 4Department of Obstetrics and Gynecology, Haukeland University Hospital, Bergen, Norway
  5. 5Molecular Imaging Center, Department of Biomedicine, University of Bergen, Bergen, Norway

Abstract

Introduction/Background Using clinically relevant imaging modalities in relevant animal models is crucial for strengthening the translational value of preclinical discoveries in endometrial cancer (EC). Imaging by 18F-fluorodeoxyglucose positron emission tomography/computed tomography (18F-FDG-PET/CT) is commonly used in diagnostic work-up in EC. 18F-FDG PET/CT in orthotopic mouse models of EC have been shown to be feasible, but standardized guidelines for image acquisition and interpretation is missing. Utilizing a large imaging database of orthotopic EC models, we aimed to characterize primary tumour 18F-FDG PET parameters and assess treatment response in a subset of mice.

Methodology The database consists of 91 18F-FDG-PET-CT scans in 66 mice orthotopically implanted with patient-derived xenografts (n=30) or organoid-based patient-derived xenografts (n=36). A subset of mice was used for evaluation of treatment response (n=25). The mice were fasted for 12–16 hours prior to imaging, intravenously injected with 18F-FDG and scanned for one hour. The following tumour parameters were extracted; max, mean and peak standardized uptake value (SUVmax/SUVmean/SUVpeak), metabolic tumour volume, total lesion glycolysis, the 10 hottest voxels and metabolic rate of FDG. Interreader reliability between two readers were evaluated using intraclass correlation coefficient (ICC) test (n=25).

Results We utilized a 50% of SUVmax -segmentation threshold for tumour delineation, which correlated well with anatomical tumour volume extracted from MRI for a subset of mice (r2=0.74, n=25). There was a significant difference between treatment and control groups for the parameters SUVmax(p=0.020), SUVpeak (p=0.038) and the 10 hottest voxels (p=0.034) and the agreement between the readers were good (ICC; 0.89–0.97).

Conclusion 18F-FDG PET/CT in EC mouse models is feasible and multiple metabolic tumour features can be extracted. Using a clinically relevant imaging modality strengthens the potential for preclinical to clinical translation and reproducibility. Our work provides a basis for future studies on orthotopic mouse models of EC.

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