Your browser doesn't support javascript.
loading
Proton MR Spectroscopy and Diffusion MR Imaging Monitoring to Predict Tumor Response to Interstitial Photodynamic Therapy for Glioblastoma.
Toussaint, Magali; Pinel, Sophie; Auger, Florent; Durieux, Nicolas; Thomassin, Magalie; Thomas, Eloise; Moussaron, Albert; Meng, Dominique; Plénat, François; Amouroux, Marine; Bastogne, Thierry; Frochot, Céline; Tillement, Olivier; Lux, François; Barberi-Heyob, Muriel.
Afiliação
  • Toussaint M; CRAN UMR 7039, CNRS, Vandœuvre-lès-Nancy, France;; CRAN UMR 7039, Université de Lorraine, Vandœuvre-lès-Nancy, France.
  • Pinel S; CRAN UMR 7039, CNRS, Vandœuvre-lès-Nancy, France;; CRAN UMR 7039, Université de Lorraine, Vandœuvre-lès-Nancy, France.
  • Auger F; Plateforme d'imagerie du vivant - Plateau Préclinique, Université de Lille - Droit et Santé, Lille, France.
  • Durieux N; Plateforme d'imagerie du vivant - Plateau Préclinique, Université de Lille - Droit et Santé, Lille, France.
  • Thomassin M; CRAN UMR 7039, CNRS, Vandœuvre-lès-Nancy, France;; CRAN UMR 7039, Université de Lorraine, Vandœuvre-lès-Nancy, France.
  • Thomas E; ILM UMR 5306 CNRS, Claude Bernard-University, Lyon, France.
  • Moussaron A; ILM UMR 5306 CNRS, Claude Bernard-University, Lyon, France.
  • Meng D; CRAN UMR 7039, CNRS, Vandœuvre-lès-Nancy, France;; CRAN UMR 7039, Université de Lorraine, Vandœuvre-lès-Nancy, France.
  • Plénat F; CRAN UMR 7039, CNRS, Vandœuvre-lès-Nancy, France;; CRAN UMR 7039, Université de Lorraine, Vandœuvre-lès-Nancy, France.
  • Amouroux M; CRAN UMR 7039, CNRS, Vandœuvre-lès-Nancy, France;; CRAN UMR 7039, Université de Lorraine, Vandœuvre-lès-Nancy, France.
  • Bastogne T; CRAN UMR 7039, CNRS, Vandœuvre-lès-Nancy, France;; CRAN UMR 7039, Université de Lorraine, Vandœuvre-lès-Nancy, France.
  • Frochot C; LRGP UMR 7274 NRS, Nancy, France;; LRGP UMR 7274, Université de Lorraine, Nancy, France.
  • Tillement O; ILM UMR 5306 CNRS, Claude Bernard-University, Lyon, France.
  • Lux F; ILM UMR 5306 CNRS, Claude Bernard-University, Lyon, France.
  • Barberi-Heyob M; CRAN UMR 7039, CNRS, Vandœuvre-lès-Nancy, France;; CRAN UMR 7039, Université de Lorraine, Vandœuvre-lès-Nancy, France.
Theranostics ; 7(2): 436-451, 2017.
Article em En | MEDLINE | ID: mdl-28255341
Despite recent progress in conventional therapeutic approaches, the vast majority of glioblastoma recur locally, indicating that a more aggressive local therapy is required. Interstitial photodynamic therapy (iPDT) appears as a very promising and complementary approach to conventional therapies. However, an optimal fractionation scheme for iPDT remains the indispensable requirement. To achieve that major goal, we suggested following iPDT tumor response by a non-invasive imaging monitoring. Nude rats bearing intracranial glioblastoma U87MG xenografts were treated by iPDT, just after intravenous injection of AGuIX® nanoparticles, encapsulating PDT and imaging agents. Magnetic Resonance Imaging (MRI) and Magnetic Resonance Spectroscopy (MRS) allowed us an original longitudinal follow-up of post-treatment effects to discriminate early predictive markers. We successfully used conventional MRI, T2 star (T2*), Diffusion Weighted Imaging (DWI) and MRS to extract relevant profiles on tissue cytoarchitectural alterations, local vascular disruption and metabolic information on brain tumor biology, achieving earlier assessment of tumor response. From one day post-iPDT, DWI and MRS allowed us to identify promising markers such as the Apparent Diffusion Coefficient (ADC) values, lipids, choline and myoInositol levels that led us to distinguish iPDT responders from non-responders. All these responses give us warning signs well before the tumor escapes and that the growth would be appreciated.
Assuntos
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Animals Idioma: En Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Animals Idioma: En Ano de publicação: 2017 Tipo de documento: Article