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Meeting ReportGeneral Clinical Specialties - Non-oncology Endocrinology/Neuroendocrine

SUV on somatostatin receptor (SSTR) PET/CT imaging as a biomarker for glucose metabolism related pancreatic function

Sophie Kunte, Thorsten Siegmund, Adrien Holzgreve, Gabriel Sheikh, Peter Bartenstein and Lena Unterrainer
Journal of Nuclear Medicine June 2023, 64 (supplement 1) P832;
Sophie Kunte
1Department of Nuclear Medicine, University Hospital, LMU Munich, Munich, Germany
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Thorsten Siegmund
2Division for Endocrinology, Diabetology and Metabolism, Isar Clinic Munich, Munich, Germany
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Adrien Holzgreve
3Department of Nuclear Medicine, University Hospital, LMU Munich
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Gabriel Sheikh
1Department of Nuclear Medicine, University Hospital, LMU Munich, Munich, Germany
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Peter Bartenstein
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Lena Unterrainer
4Department of Nuclear Medicine, LMU Munich and Department of Nuclear Medicine, UCLA, Los Angeles
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Abstract

P832

Introduction: Due to an overexpression of somatostatin receptors (SSTRs) on the surface of neuroendocrine tumors (NETs), PET/CT using SSTR-binding radioligands has become an established imaging method in the clinical routine in patients with NET. However, SSTRs are also physiologically expressed in pancreatic islets of Langerhans. Several studies indicated somatostatin as a highly relevant paracrine signal in the regulation of hormone secretion from α- and β-cells and thus in the glucose metabolism. In human islets, the subtype SSTR2 out of SSTR1-5 is the predominant receptor in both α- and β-cells. The affinity to the different subtypes varies depending on the radioligand used, e.g. 68Ga-DOTATATE, 68Ga-DOTATOC and 18F-SiTATE have a high affinity to SSTR2, whereas 68Ga-DOTANOC has a high affinity to SSTR2, 3 and 5.

With this study we aimed at investigating the potential role of SSTR PET/CT as a biomarker for glucose metabolism related pancreatic function.

Methods: Patients with no known pancreatic disease who were undergoing SSTR PET/CT for other reasons than imaging of the pancreas were included. The pancreas was delineated in the CT and the respective SUVmax and SUVmean of the entire pancreas was determined in the PET. The HbA1c, as a biomarker for glucose metabolism, at the time point of the PET/CT (± 2 weeks) was then correlated with the SUVmax and SUVmean. This analysis has been evaluated for the different radioligands 68Ga-DOTATOC, 68Ga-DOTANOC and 18F-SiTATE. Only patients presenting with an HbA1c in the physiological range (4.0-6.0%) at the time point of the SSTR PET/CT were included.

Results: Correlation analysis showed a significant correlation between HbA1c and SUVmax (r=-0.542; r2= 0.293; p<0.0001) and SUVmean (r=-0.393; r2=0.154; p=0.01) using 68Ga-DOTATOC (42 PET/CTs). In the 18F-SiTATE PET (24 PET/CTs) no significant correlation between the respective HbA1c and SUVmax (r=-0.259; r2=0.067; p=0.222) and SUVmean (r=-0.095; r2=0.009; p=0.658) was demonstrated. 68Ga-DOTANOC (5 PET/CTs) as radioligand did also not show a significant correlation between HbA1c and SUVmax (r=-0.264; r2=0.069; p=0.667) and SUVmean (r=0.105; r2=0.011; p=0.867).

Conclusions: In contrast to other radioligands, pancreatic 68Ga-DOTATOC uptake on PET/CT correlated moderately with the HbA1c in patients without pancreatic diseases. Therefore, it may potentially be suitable as a predictive marker for early risk stratification in patients with pancreas-related glucose metabolism disorders. As a next step, it must be investigated how the tracer uptake varies in different pancreas related diseases to determine its value as a novel biomarker for pancreatic function.

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Journal of Nuclear Medicine
Vol. 64, Issue supplement 1
June 1, 2023
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SUV on somatostatin receptor (SSTR) PET/CT imaging as a biomarker for glucose metabolism related pancreatic function
Sophie Kunte, Thorsten Siegmund, Adrien Holzgreve, Gabriel Sheikh, Peter Bartenstein, Lena Unterrainer
Journal of Nuclear Medicine Jun 2023, 64 (supplement 1) P832;

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SUV on somatostatin receptor (SSTR) PET/CT imaging as a biomarker for glucose metabolism related pancreatic function
Sophie Kunte, Thorsten Siegmund, Adrien Holzgreve, Gabriel Sheikh, Peter Bartenstein, Lena Unterrainer
Journal of Nuclear Medicine Jun 2023, 64 (supplement 1) P832;
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