An effective MRI perfusion threshold based workflow to triage additional 18F-FET PET in posttreatment high grade glioma
MRI is the preferred method for follow-up imaging of post-treatment WHO grade 3 or 4 gliomas. While positron emission tomography with O-(2-[<sup>18</sup>F]fluoroethyl)-L-tyrosine) (<sup>18</sup>F-FET PET) offers higher diagnostic accuracy, its use is limited due to low availability. We propose a sequential, threshold-based workflow to triage patients for additional <sup>18</sup>F-FET PET scans based on MRI dynamic susceptibility contrast (DSC) perfusion-derived rCBV values, to optimize <sup>18</sup>F-FET PET resource allocation. Patients with high-grade gliomas who had undergone standard-of-care treatment and developed new or enlarging contrast-enhancing post-treatment lesions on MRI were included, with a <sup>18</sup>F-FET PET study performed within 4 months of the MRI. Patients were excluded if there were significant changes in lesion size or treatment between the MRI and <sup>18</sup>F-FET PET scan. An rCBV threshold was determined and the performance of a threshold-based imaging workflow was evaluated compared to the gold standard defined here as surgical verification or long-term imaging follow-up without further intervention. Forty-one patients with a total of 49 lesions were included (tumor progression n = 40, treatment-related changes n = 9). Above the rCBV threshold of 2.4, MRI was 100% accurate (21/21 patients) in diagnosing tumor progression. Below the threshold, MRI identified 9 true negatives but produced 19 false negatives. <sup>18</sup>F-FET PET reclassified 18/19 (95%) false negatives resulting in an overall accuracy of 48/49 (98%) for the workflow. Our MRI DSC perfusion rCBV-based threshold workflow for triaging patients for additional <sup>18</sup>F-FET PET imaging in post-treatment high grade glioma has the potential to optimize <sup>18</sup>F-FET PET resource allocation.
Authors
- Michael Weller (ORCID: https://orcid.org/0000-0002-1748-174X)
- Krishna K. Kadali (ORCID: https://orcid.org/0009-0006-7078-2599)
- Philip Heesen (ORCID: https://orcid.org/0000-0002-5090-4935)
- Nathalie Nierobisch (ORCID: https://orcid.org/0009-0005-0992-6867)
- Zsolt Kulcsár (ORCID: https://orcid.org/0000-0002-6805-5150)
- Martin William Huellner (ORCID: https://orcid.org/0000-0002-4849-3292)
- Paula Alcaide‐Leon (ORCID: https://orcid.org/0000-0001-6146-7972)
- Nicolin Hainc (ORCID: https://orcid.org/0000-0003-0916-7387)
- Fabienne Maibach
Institutions
- University Health Network (CA)
- University of Toronto (CA)
- University of Zurich (CH)
- University Hospital of Zurich (CH)
Publication Details
- Journal
- Scientific Reports
- Published
- 2025-03-05
- DOI
- https://doi.org/10.1038/s41598-025-90472-8
- Citations
- 3
- Primary Topic
- Glioma Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 4.88