Proton MR Spectroscopy and Diffusion MR Imaging Monitoring to Predict Tumor Response to Interstitial Photodynamic Therapy for Glioblastoma

被引:32
作者
Toussaint, Magali [1 ,2 ]
Pinel, Sophie [1 ,2 ]
Auger, Florent [3 ]
Durieux, Nicolas [3 ]
Thomassin, Magalie [1 ,2 ]
Thomas, Eloise [6 ]
Moussaron, Albert [6 ]
Meng, Dominique [1 ,2 ]
Plenat, Francois [1 ,2 ]
Amouroux, Marine [1 ,2 ]
Bastogne, Thierry [1 ,2 ]
Frochot, Celine [4 ,5 ]
Tillement, Olivier [6 ]
Lux, Francois [6 ]
Barberi-Heyob, Muriel [1 ,2 ]
机构
[1] CNRS, CRAN UMR 7039, Vandoeuvre Les Nancy, France
[2] Univ Lorraine, CRAN UMR 7039, Vandoeuvre Les Nancy, France
[3] Univ Lille Droit & Sante, Plateforme Imagerie Vivant Plateau Preclin, Lille, France
[4] LRGP UMR 7274 NRS, Nancy, France
[5] Univ Lorraine, LRGP UMR 7274, Nancy, France
[6] Univ Claude Bernard, ILM UMR CNRS 5306, Lyon, France
关键词
Interstitial photodynamic therapy; Glioblastoma; In Vivo non-invasive imaging; Multifunctional nanoparticles; Image guided therapy; Therapy assessment; MAGNETIC-RESONANCE SPECTROSCOPY; BRAIN-TUMORS; MALIGNANT GLIOMA; COEFFICIENT; RECURRENCE; MULTIFORME; MANAGEMENT; BIOMARKER; RESECTION; SURVIVAL;
D O I
10.7150/thno.17218
中图分类号
R-3 [医学研究方法]; R3 [基础医学];
学科分类号
1001 ;
摘要
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 (R) 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.
引用
收藏
页码:436 / 451
页数:16
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