Searchable abstracts of presentations at key conferences in endocrinology
Endocrine Abstracts (2022) 89 C16 | DOI: 10.1530/endoabs.89.C16

NANETS2022 15th Annual Multidisciplinary NET Medical Symposium NANETS 2022 Clinical – Nuclear Medicine/Interventional Radiology/Imaging (16 abstracts)

Clinical Utility of Somatostatin Receptor Positron Emission Tomography Imaging Biomarkers for Characterization of Meningioma Among Incidental Central Nervous System Lesions

Shannon Fortin Ensign, MD, PhD1, Muskan Agarwal, MD2, Molly Klanderman, PhD3, Mohamed Badawy, MB, BCh4, Thorvardur R. Halfdanarson, MD5, Derek R. Johnson, MD6,7, Mohamad Bassam Sonbol, MD1 & Ayse T. Kendi, MD6


1Department of Hematology-Oncology, Mayo Clinic, Phoenix, AZ; 2Department of Internal Medicine, Mayo Clinic, Phoenix, AZ; 3Department of Quantitative Health Sciences, Mayo Clinic, Scottsdale, AZ; 4Department of Diagnostic Imaging, The University of Texas MD Anderson Cancer Center; 5Department of Medical Oncology, Mayo Clinic, Rochester, MN; 6Department of Radiology, Mayo Clinic, Rochester, MN; 7Department of Neurology, Mayo Clinic, Rochester, MN.


Background: Somatostatin receptor (SSTR) PET imaging is utilized with increasing frequency in the clinical management of neuroendocrine tumors. Incidental PET-avid CNS lesions are commonly noted and presumed to be meningiomas. However, SSTR PET lacks specificity for meningioma identification. This study aims to clarify the role of SSTR-based imaging for classification of incidental CNS lesions

Methods: Patients who had undergone both Ga-68-DOTATATE PET and brain MR imaging and had an incidental CNS lesion identified with a radiographic prediction of meningioma via one (discordant prediction) or both (concordant prediction) imaging modalities were retrospectively analyzed. Imaging indication, semi-quantitative measures, and corresponding clinical history were recorded.

Results: Among 48 patients with a CNS lesion identified on both imaging modalities, most scans were performed for a history of neuroendocrine tumor (64.6%). Cases with concordant lesion type prediction of meningioma between imaging modalities (N=24) displayed a significantly higher SUV max (median 7.9 vs. 4.0, P=0.008) and Krenning score (median 3.0 vs. 2.0, P=0.005) on Ga-68-DOTATATE PET compared to cases with a discordant prediction of meningioma (n=24). In cases with lower SUV max values Ga-68-DOTATATE was more likely to discordantly predict meningioma without agreement by the corresponding MRI. Prior cranial radiation or use of a somatostatin mimetic did not affect quantitative radiographic measures, and MRI-based tumor size was similar across groups.

Conclusions: Lesions with increased avidity may be more confidently predicted as meningioma in Ga-68-DOTATATE PET scans, and caution should be exercised in lesion type prediction among low SUV cases. The continued development of SSTR-based imaging biomarker signatures across incidental CNS lesion subtypes will further define the role of this imaging modality in the clinical diagnosis and management of presumed meningiomas.

Abstract ID 21355

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