PURPOSEMultiple approaches with [Ga68]-DOTATATE, a somatostatin analog PET radiotracer, have demonstrated clinical utility in evaluation of meningioma but have not been compared directly. Our purpose was to compare diagnostic performance of three approaches to quantitative brain [68Ga]-DOTATATE PET/MRI analysis in patients with suspected meningioma recurrence and to establish the optimal diagnostic threshold for each method.METHODSPatients with suspected meningioma were imaged prospectively with [68Ga]-DOTATATE brain PET/MRI. Lesions were classified as meningiomas and post-treatment change (PTC), based on pathology findings and follow up MRI appearance. Lesions were reclassified using the following methods: absolute SUV threshold (SUV), SUV ratio (SUVR) to superior sagittal sinus (SSS) (SUVRsss), and SUVR to the pituitary gland (SUVRpit). Diagnostic performance of the three methods was compared using contingency tables and McNemar’s test. Previously published pre-determined thresholds were assessed where applicable. The optimal thresholds for each method were identified using Youden’s J statistics.RESULTS166 meningiomas and 41 PTC lesions were identified across 62 patients. SUV, SUVRsss, and SUVRpit of meningioma were significantly higher than those of PTC (P<0.0001). The optimal thresholds for SUV, SUVRsss, and SUVRpit were 4.65, 3.23, and 0.260, respectively. At the optimal thresholds, SUV had the highest specificity (97.6%) and SUVRsss had the highest sensitivity (86.1%). An ROC analysis of SUV, SUVRsss, and SUVRpit revealed AUC of 0.932, 0.910, and 0.915, respectively (P<0.0001).CONCLUSIONWe found that the SUVRsss method may have the most robust combination of sensitivity and specificity in the diagnosis of meningioma in the post-treatment setting, with the optimal threshold of 3.23. Future studies validating our findings in different patient populations are needed to continue optimizing the diagnostic performance of [68Ga]-DOTATATE PET/MRI in meningioma patients. Clinical Trial Registration: ClinicalTrials.gov Identifier: NCT04081701. Registered 9 September 2019. https://clinicaltrials.gov/ct2/show/NCT04081701