The diagnostic and prognosis value of dynamic contrast-enhanced MRI distributed parameter model and 18F- fluoroethyltyrosine PET on differentiating recurrent glioma from treatment-induced change
摘要
Differentiating recurrence from treatment-induced changes (TIC) in post-therapy gliomas remains a significant diagnostic challenge. This prospective study evaluated the diagnostic efficacy and prognostic value of dynamic contrast-enhanced MRI (DCE-MRI) distributed parameter (DP) model versus 18F-fluoroethyltyrosine (FET) positron emission tomography (PET) in differentiating gliomas recurrence from TIC.
MethodsAdults with new or increasing contrast-enhancing lesions in MRI after treatment were prospectively included. Patients were additionally examined using 18F-FET PET and DCE-MRI. DCE parameters was processed using DP and compared with maximum standardized uptake value (SUVmax), mean standardized uptake value and mean tumor-to-brain ratio measured from 18F-FET PET images. Diagnostic test properties and prognosis value of DCE-MRI were determined.
ResultsNormalized cerebral blood volume (nCBV ≥ 2.32) and normalized cerebral blood flow (nCBF ≥ 1.11) demonstrated sensitivities of 0.78 and 0.75, specificities of 0.88 and 1.00, diagnostic accuracy of 0.80 for both, and areas under the receiver operating characteristic curves (AUCs) of 0.86 and 0.85, respectively. For FET-PET, SUVmax cutoff of 2.36 achieved sensitivity of 0.93, specificity of 0.57, accuracy of 0.85, and AUCs of 0.72. Weak correlations existed between DCE-MRI and FET-PET parameters (r: -0.05–0.20; p > 0.05). Over a median follow-up of 11 months (IQR 8.75–15), patients with nCBV ≥ 2.32 had significantly shorter median progression-free survival (9 months vs. not-reached; p = 0.02).
ConclusionDCE-MRI incorporating DP demonstrated strong diagnostic performance in distinguishing recurrent gliomas from TIC, with diagnostic accuracy comparable to 18F-FET PET. Furthermore, nCBV demonstrated prognostic value for clinical outcomes in glioma patients.