Evaluating diagnostic accuracy and determining optimal diagnostic thresholds of different approaches to [68Ga]-DOTATATE PET/MRI analysis in patients with meningioma

Abstract Multiple approaches with [68Ga]-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 different approaches to quantitative brain [68Ga]-DOTATAT...

Full description

Bibliographic Details
Main Authors: Sean H. Kim, Michelle Roytman, Gabriela Madera, Rajiv S. Magge, Benjamin Liechty, Rohan Ramakrishna, Susan C. Pannullo, Theodore H. Schwartz, Nicolas A. Karakatsanis, Joseph R. Osborne, Eaton Lin, Jonathan P. S. Knisely, Jana Ivanidze
Format: Article
Language:English
Published: Nature Portfolio 2022-06-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-022-13467-9
_version_ 1828328773544574976
author Sean H. Kim
Michelle Roytman
Gabriela Madera
Rajiv S. Magge
Benjamin Liechty
Rohan Ramakrishna
Susan C. Pannullo
Theodore H. Schwartz
Nicolas A. Karakatsanis
Joseph R. Osborne
Eaton Lin
Jonathan P. S. Knisely
Jana Ivanidze
author_facet Sean H. Kim
Michelle Roytman
Gabriela Madera
Rajiv S. Magge
Benjamin Liechty
Rohan Ramakrishna
Susan C. Pannullo
Theodore H. Schwartz
Nicolas A. Karakatsanis
Joseph R. Osborne
Eaton Lin
Jonathan P. S. Knisely
Jana Ivanidze
author_sort Sean H. Kim
collection DOAJ
description Abstract Multiple approaches with [68Ga]-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 different 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. Patients with suspected meningioma were imaged prospectively with [68Ga]-DOTATATE brain PET/MRI. Lesions were classified as meningiomas and post-treatment change (PTC), using follow-up pathology and MRI as reference standard. Lesions were reclassified using the following methods: absolute maximum SUV threshold (SUV), SUV ratio (SUVR) to superior sagittal sinus (SSS) (SUVRsss), SUVR to the pituitary gland (SUVRpit), and SUVR to the normal brain parenchyma (SUVRnorm). Diagnostic performance of the four 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. 166 meningiomas and 41 PTC lesions were identified across 62 patients. SUV, SUVRsss, SUVRpit, and SUVRnorm of meningioma were significantly higher than those of PTC (P < 0.0001). The optimal thresholds for SUV, SUVRsss, SUVRpit, and SUVRnorm were 4.7, 3.2, 0.3, and 62.6, 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, SUVRpit, and SUVRnorm revealed AUC of 0.932, 0.910, 0.915, and 0.800, respectively (P < 0.0001). Developing a diagnostic threshold is key to wider clinical translation of [68Ga]-DOTATATE PET/MRI in meningioma evaluation. We 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 3.2. 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. Trial registration: ClinicalTrials.gov Identifier: NCT04081701. Registered 9 September 2019. https://clinicaltrials.gov/ct2/show/NCT04081701 .
first_indexed 2024-04-13T20:14:43Z
format Article
id doaj.art-aa12fb2bcd114f789132a24d29e67340
institution Directory Open Access Journal
issn 2045-2322
language English
last_indexed 2024-04-13T20:14:43Z
publishDate 2022-06-01
publisher Nature Portfolio
record_format Article
series Scientific Reports
spelling doaj.art-aa12fb2bcd114f789132a24d29e673402022-12-22T02:31:45ZengNature PortfolioScientific Reports2045-23222022-06-0112111210.1038/s41598-022-13467-9Evaluating diagnostic accuracy and determining optimal diagnostic thresholds of different approaches to [68Ga]-DOTATATE PET/MRI analysis in patients with meningiomaSean H. Kim0Michelle Roytman1Gabriela Madera2Rajiv S. Magge3Benjamin Liechty4Rohan Ramakrishna5Susan C. Pannullo6Theodore H. Schwartz7Nicolas A. Karakatsanis8Joseph R. Osborne9Eaton Lin10Jonathan P. S. Knisely11Jana Ivanidze12Department of Radiology, Weill Cornell MedicineDepartment of Radiology, Weill Cornell MedicineDepartment of Radiology, Weill Cornell MedicineDepartment of Neurology, Weill Cornell MedicineDepartment of Pathology and Laboratory Medicine, Weill Cornell MedicineDepartment of Neurological Surgery, Weill Cornell MedicineDepartment of Neurological Surgery, Weill Cornell MedicineDepartment of Neurological Surgery, Weill Cornell MedicineDepartment of Radiology, Weill Cornell MedicineDepartment of Radiology, Weill Cornell MedicineDepartment of Radiology, Weill Cornell MedicineDepartment of Radiation Oncology, Stich Radiation Center, Weill Cornell MedicineDepartment of Radiology, Weill Cornell MedicineAbstract Multiple approaches with [68Ga]-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 different 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. Patients with suspected meningioma were imaged prospectively with [68Ga]-DOTATATE brain PET/MRI. Lesions were classified as meningiomas and post-treatment change (PTC), using follow-up pathology and MRI as reference standard. Lesions were reclassified using the following methods: absolute maximum SUV threshold (SUV), SUV ratio (SUVR) to superior sagittal sinus (SSS) (SUVRsss), SUVR to the pituitary gland (SUVRpit), and SUVR to the normal brain parenchyma (SUVRnorm). Diagnostic performance of the four 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. 166 meningiomas and 41 PTC lesions were identified across 62 patients. SUV, SUVRsss, SUVRpit, and SUVRnorm of meningioma were significantly higher than those of PTC (P < 0.0001). The optimal thresholds for SUV, SUVRsss, SUVRpit, and SUVRnorm were 4.7, 3.2, 0.3, and 62.6, 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, SUVRpit, and SUVRnorm revealed AUC of 0.932, 0.910, 0.915, and 0.800, respectively (P < 0.0001). Developing a diagnostic threshold is key to wider clinical translation of [68Ga]-DOTATATE PET/MRI in meningioma evaluation. We 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 3.2. 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. Trial registration: ClinicalTrials.gov Identifier: NCT04081701. Registered 9 September 2019. https://clinicaltrials.gov/ct2/show/NCT04081701 .https://doi.org/10.1038/s41598-022-13467-9
spellingShingle Sean H. Kim
Michelle Roytman
Gabriela Madera
Rajiv S. Magge
Benjamin Liechty
Rohan Ramakrishna
Susan C. Pannullo
Theodore H. Schwartz
Nicolas A. Karakatsanis
Joseph R. Osborne
Eaton Lin
Jonathan P. S. Knisely
Jana Ivanidze
Evaluating diagnostic accuracy and determining optimal diagnostic thresholds of different approaches to [68Ga]-DOTATATE PET/MRI analysis in patients with meningioma
Scientific Reports
title Evaluating diagnostic accuracy and determining optimal diagnostic thresholds of different approaches to [68Ga]-DOTATATE PET/MRI analysis in patients with meningioma
title_full Evaluating diagnostic accuracy and determining optimal diagnostic thresholds of different approaches to [68Ga]-DOTATATE PET/MRI analysis in patients with meningioma
title_fullStr Evaluating diagnostic accuracy and determining optimal diagnostic thresholds of different approaches to [68Ga]-DOTATATE PET/MRI analysis in patients with meningioma
title_full_unstemmed Evaluating diagnostic accuracy and determining optimal diagnostic thresholds of different approaches to [68Ga]-DOTATATE PET/MRI analysis in patients with meningioma
title_short Evaluating diagnostic accuracy and determining optimal diagnostic thresholds of different approaches to [68Ga]-DOTATATE PET/MRI analysis in patients with meningioma
title_sort evaluating diagnostic accuracy and determining optimal diagnostic thresholds of different approaches to 68ga dotatate pet mri analysis in patients with meningioma
url https://doi.org/10.1038/s41598-022-13467-9
work_keys_str_mv AT seanhkim evaluatingdiagnosticaccuracyanddeterminingoptimaldiagnosticthresholdsofdifferentapproachesto68gadotatatepetmrianalysisinpatientswithmeningioma
AT michelleroytman evaluatingdiagnosticaccuracyanddeterminingoptimaldiagnosticthresholdsofdifferentapproachesto68gadotatatepetmrianalysisinpatientswithmeningioma
AT gabrielamadera evaluatingdiagnosticaccuracyanddeterminingoptimaldiagnosticthresholdsofdifferentapproachesto68gadotatatepetmrianalysisinpatientswithmeningioma
AT rajivsmagge evaluatingdiagnosticaccuracyanddeterminingoptimaldiagnosticthresholdsofdifferentapproachesto68gadotatatepetmrianalysisinpatientswithmeningioma
AT benjaminliechty evaluatingdiagnosticaccuracyanddeterminingoptimaldiagnosticthresholdsofdifferentapproachesto68gadotatatepetmrianalysisinpatientswithmeningioma
AT rohanramakrishna evaluatingdiagnosticaccuracyanddeterminingoptimaldiagnosticthresholdsofdifferentapproachesto68gadotatatepetmrianalysisinpatientswithmeningioma
AT susancpannullo evaluatingdiagnosticaccuracyanddeterminingoptimaldiagnosticthresholdsofdifferentapproachesto68gadotatatepetmrianalysisinpatientswithmeningioma
AT theodorehschwartz evaluatingdiagnosticaccuracyanddeterminingoptimaldiagnosticthresholdsofdifferentapproachesto68gadotatatepetmrianalysisinpatientswithmeningioma
AT nicolasakarakatsanis evaluatingdiagnosticaccuracyanddeterminingoptimaldiagnosticthresholdsofdifferentapproachesto68gadotatatepetmrianalysisinpatientswithmeningioma
AT josephrosborne evaluatingdiagnosticaccuracyanddeterminingoptimaldiagnosticthresholdsofdifferentapproachesto68gadotatatepetmrianalysisinpatientswithmeningioma
AT eatonlin evaluatingdiagnosticaccuracyanddeterminingoptimaldiagnosticthresholdsofdifferentapproachesto68gadotatatepetmrianalysisinpatientswithmeningioma
AT jonathanpsknisely evaluatingdiagnosticaccuracyanddeterminingoptimaldiagnosticthresholdsofdifferentapproachesto68gadotatatepetmrianalysisinpatientswithmeningioma
AT janaivanidze evaluatingdiagnosticaccuracyanddeterminingoptimaldiagnosticthresholdsofdifferentapproachesto68gadotatatepetmrianalysisinpatientswithmeningioma