Hybrid [18F]-F-DOPA PET/MRI Interpretation Criteria and Scores for Glioma Follow-up After Radiotherapy

Autor: Marc Bertaux, Arnaud Berenbaum, Anna-Luisa Di Stefano, Laura Rozenblum, Marine Soret, Sebastien Bergeret, Khé Hoang-Xuan, Laure-Eugenie Tainturier, Brian Sgard, Marie-Odile Habert, Jean-Yves Delattre, Caroline Dehais, Ahmed Idbaih, Nadya Pyatigorskaya, Aurelie Kas
Přispěvatelé: Service de Médecine nucléaire [CHU Pitié-Salpétrière], CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Institut du Cerveau = Paris Brain Institute (ICM), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Service d'Onco-neurologie = Département de neurologie 2 [CHU Pitié Salpêtrière], Laboratoire d'Imagerie Biomédicale (LIB), Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Université des Antilles - UFR des sciences médicales Hyacinthe Bastaraud (UA UFR SM), Université des Antilles (UA), Université de Caen Normandie - UFR Santé (UNICAEN Santé), Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Normandie Université (NU), Service de Neuroradiologie [CHU Pitié-Salpêtrière], Gestionnaire, Hal Sorbonne Université
Rok vydání: 2022
Předmět:
Zdroj: Clinical Neuroradiology
Clinical Neuroradiology, 2022, ⟨10.1007/s00062-022-01139-0⟩
ISSN: 1869-1447
1869-1439
DOI: 10.1007/s00062-022-01139-0
Popis: International audience; Objective18F‑fluoro-L‑3,4‑dihydroxyphenylalanine positron emission tomography (F‑DOPA PET) is used in glioma follow-up after radiotherapy to discriminate treatment-related changes (TRC) from tumor progression (TP). We compared the performances of a combined PET and MRI analysis with F‑DOPA current standard of interpretation.MethodsWe included 76 consecutive patients showing at least one gadolinium-enhanced lesion on the T1‑w MRI sequence (T1G). Two nuclear medicine physicians blindly analyzed PET/MRI images. In addition to the conventional PET analysis, they looked for F‑DOPA uptake(s) outside T1G-enhanced areas (T1G/PET), in the white matter (WM/PET), for T1G-enhanced lesion(s) without sufficiently concordant F‑DOPA uptake (T1G+/PET), and F‑DOPA uptake(s) away from hemorrhagic changes as shown with a susceptibility weighted imaging sequence (SWI/PET). We measured lesions’ F‑DOPA uptake ratio using healthy brain background (TBR) and striatum (T/S) as references, and lesions’ perfusion with arterial spin labelling cerebral blood flow maps (rCBF). Scores were determined by logistic regression.Results53 and 23 patients were diagnosed with TP and TRC, respectively. The accuracies were 74% for T/S, 76% for TBR, and 84% for rCBF, with best cut-off values of 1.3, 3.7 and 1.25, respectively. For hybrid variables, best accuracies were obtained with conventional analysis (82%), T1G+/PET (82%) and SWI/PET (81%). T1G+/PET, SWI/PET and rCBF ≥ 1.25 were selected to construct a 3-point score. It outperformed conventional analysis and rCBF with an AUC of 0.94 and an accuracy of 87%.ConclusionsOur scoring approach combining F‑DOPA PET and MRI provided better accuracy than conventional PET analyses for distinguishing TP from TRC in our patients after radiation therapy.
Databáze: OpenAIRE