Multimodal imaging in cerebral gliomas and its neuropathological correlation

Jens Gempt, Eric Soehngen, Stefan Förster, Yu Mi Ryang, Jürgen Schlegel, Claus Zimmer, Bernhard Meyer, Florian Ringel, Astrid E. Grams, Annette Förschler

Research output: Contribution to journalArticlepeer-review

30 Scopus citations

Abstract

Introduction Concerning the preoperative clinical diagnostic work-up of glioma patients, tumor heterogeneity challenges the oncological therapy. The current study assesses the performance of a multimodal imaging approach to differentiate between areas in malignant gliomas and to investigate the extent to which such a combinatorial imaging approach might predict the underlying histology. Methods Prior to surgical resection, patients harboring intracranial gliomas underwent MRIs (MR-S, PWI) and 18F-FET-PETs. Intratumoral and peritumoral biopsy targets were defined, by MRI only, by FET-PET only, and by MRI and FET-PET combined, and biopsied prior to surgical resection and which then received separate histopathological examinations. Results In total, 38 tissue samples were acquired (seven glioblastomas, one anaplastic astrocytoma, one anaplastic oligoastrocytoma, one diffuse astrocytoma, and one oligoastrocytoma) and underwent histopathological analysis. The highest mean values of Mib1 and CD31 were found in the target point "T' defined by MRI and FET-PET combined. A significant correlation between NAA/Cr and PET tracer uptake (-0.845, p < 0.05) as well as Cho/Cr ratio and cell density (0.742, p < 0.05) and NAA/Cr ratio and MIB-1 (-0761, p < 0.05) was disclosed for this target point, though not for target points defined by MRI and FET-PET alone. Conclusion Multimodal-imaging-guided stereotactic biopsy correlated more with histological malignancy indices, such as cell density and MIB-1 labeling, than targets that were based solely on the highest amino acid uptake or contrast enhancement on MRI. The results of our study indicate that a combined PET-MR multimodal imaging approach bears potential benefits in detecting glioma heterogeneity.

Original languageEnglish
Pages (from-to)829-834
Number of pages6
JournalEuropean Journal of Radiology
Volume83
Issue number5
DOIs
StatePublished - May 2014

Keywords

  • Brain tumor
  • FET-PET
  • Glioma
  • MIB-1
  • MR-S
  • Proton magnetic resonance spectroscopic imaging

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