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Dynamic 11C-Methionine PET-CT: Prognostic Factors for Disease Progression and Survival in Patients with Suspected Glioma Recurrence.
Mattoli, Maria Vittoria; Trevisi, Gianluca; Scolozzi, Valentina; Capotosti, Amedeo; Cocciolillo, Fabrizio; Marini, Irene; Mare, Valerio; Indovina, Luca; Caulo, Massimo; Saponiero, Antonella; Balducci, Mario; Taralli, Silvia; Calcagni, Maria Lucia.
Afiliación
  • Mattoli MV; Department of Neurosciences, Imaging and Clinical Sciences, University "G. d'Annunzio" of Chieti, 66100 Chieti, Italy.
  • Trevisi G; Neurosurgical Unit, Presidio Ospedaliero Santo Spirito, 65124 Pescara, Italy.
  • Scolozzi V; UOC di Medicina Nucleare, Dipartimento di Diagnostica per Immagini, Radioterapia Oncologica ed Ematologia, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168 Roma, Italy.
  • Capotosti A; Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168 Roma, Italy.
  • Cocciolillo F; UOC di Medicina Nucleare, Dipartimento di Diagnostica per Immagini, Radioterapia Oncologica ed Ematologia, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168 Roma, Italy.
  • Marini I; Nuclear Medicine and Radiometabolic Unit, Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori (IRST) IRCCS, 47014 Meldola, Italy.
  • Mare V; Università Cattolica del Sacro Cuore, 00168 Roma, Italy.
  • Indovina L; Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168 Roma, Italy.
  • Caulo M; Department of Neurosciences, Imaging and Clinical Sciences, University "G. d'Annunzio" of Chieti, 66100 Chieti, Italy.
  • Saponiero A; Department of Radiology, University "G. d'Annunzio" of Chieti, 66100 Chieti, Italy.
  • Balducci M; UOSD di Oncologia, Dipartimento di Oncologia, Presidio Cassia-S. Andrea-ASL RM1, 00100 Rome, Italy.
  • Taralli S; UOC Radioterapia Oncologica, Dipartimento di Diagnostica per Immagini, Radioterapia Oncologica ed Ematologia, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168 Roma, Italy.
  • Calcagni ML; UOC di Medicina Nucleare, Dipartimento di Diagnostica per Immagini, Radioterapia Oncologica ed Ematologia, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168 Roma, Italy.
Cancers (Basel) ; 13(19)2021 Sep 24.
Article en En | MEDLINE | ID: mdl-34638262
PURPOSE: The prognostic evaluation of glioma recurrence patients is important in the therapeutic management. We investigated the prognostic value of 11C-methionine PET-CT (MET-PET) dynamic and semiquantitative parameters in patients with suspected glioma recurrence. METHODS: Sixty-seven consecutive patients who underwent MET-PET for suspected glioma recurrence at MR were retrospectively included. Twenty-one patients underwent static MET-PET; 46/67 underwent dynamic MET-PET. In all patients, SUVmax, SUVmean and tumour-to-background ratio (T/B) were calculated. From dynamic acquisition, the shape and slope of time-activity curves, time-to-peak and its SUVmax (SUVmaxTTP) were extrapolated. The prognostic value of PET parameters on progression-free (PFS) and overall survival (OS) was evaluated using Kaplan-Meier survival estimates and Cox regression. RESULTS: The overall median follow-up was 19 months from MET-PET. Recurrence patients (38/67) had higher SUVmax (p = 0.001), SUVmean (p = 0.002) and T/B (p < 0.001); deceased patients (16/67) showed higher SUVmax (p = 0.03), SUVmean (p = 0.03) and T/B (p = 0.006). All static parameters were associated with PFS (all p < 0.001); T/B was associated with OS (p = 0.031). Regarding kinetic analyses, recurrence (27/46) and deceased (14/46) patients had higher SUVmaxTTP (p = 0.02, p = 0.01, respectively). SUVmaxTTP was the only dynamic parameter associated with PFS (p = 0.02) and OS (p = 0.006). At univariate analysis, SUVmax, SUVmean, T/B and SUVmaxTTP were predictive for PFS (all p < 0.05); SUVmaxTTP was predictive for OS (p = 0.02). At multivariate analysis, SUVmaxTTP remained significant for PFS (p = 0.03). CONCLUSION: Semiquantitative parameters and SUVmaxTTP were associated with clinical outcomes in patients with suspected glioma recurrence. Dynamic PET-CT acquisition, with static and kinetic parameters, can be a valuable non-invasive prognostic marker, identifying patients with worse prognosis who require personalised therapy.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Cancers (Basel) Año: 2021 Tipo del documento: Article País de afiliación: Italia Pais de publicación: Suiza

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Cancers (Basel) Año: 2021 Tipo del documento: Article País de afiliación: Italia Pais de publicación: Suiza