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 |
Rok vydání: |
2021 |
Předmět: |
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Zdroj: |
Clinical neuroradiology. 32(3) |
ISSN: |
1869-1447 |
Popis: |
We 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.53 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%.Our 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 |
Externí odkaz: |
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