Pattern recognition of MRSI data shows regions of glioma growth that agree with DTI markers of brain tumor infiltration

Abstract

Gliomas are the most common primary brain tumors and the majority are highly malignant, with one of the worst prognoses for patients. Gliomas are characterized by invasive growth into normal brain tissue that makes complete surgical resection and accurate radiotherapy planning extremely difficult. We have performed independent component analysis of magnetic resonance spectroscopy imaging data from human gliomas to segment brain tissue into tumor core, tumor infiltration, and normal brain, with confirmation by diffusion tensor imaging analysis. Our data are consistent with previous studies that compared anomalies in isotropic and anisotropic diffusion images to determine regions of potential glioma infiltration. We show that coefficients of independent components can be used to create colored images for easy visual identification of regions of infiltrative tumor growth.

Proton MR spectroscopic imaging of human glioblastomas at 1.5 Tesla

“…However, the middle part of glioblastomas had in general lower values of tNAA/tCr compared to its solid or peritumoral regions, they did not differ significantly from each other. This indicated an infiltrating character of the tumor cells, which is in compliance with the published characteristics of glioblastomas (Lai et al 2008;Law 2009;Wright et al 2009). Using this clinically feasible 1 H MRSI evaluated at 1.5 Tesla it was possible to demonstrate high heterogeneity of glioblastomas, with necrotic middle part, highly proliferating solid part, metabolically influenced surrounding tissue with infiltrating tumorous cells (Fig.…”

“…However, the differences in tCho/tCr levels in marginal tumor area compared to its central part were not noticeable. It was declared, that in a necrotic part of glioblastomas in addition to the significant neuronal loss (Kornienko and Pronin 2009;McKnight and Wladman 2010;Kumar et al 2012) also the process of tumor cell proliferation inhibited (Laprie et al 2008;Wright et al 2009), leading to the decreased concentration of tCho compared to the tumor mass (Callot et al 2008;Pinker et al 2012). Furthermore, it appears that the decrease of tNAA concentration correlates with the extent of tisue necrosis (Lai et al 2008;Kornienko and Pronin 2009).…”

Association of early changes in1H MRSI parameters with survival for patients with newly diagnosed glioblastoma receiving a multimodality treatment regimen

“…This is consistent with previous studies, which indicated that CNI values could identify nonenhancing tumor that was also different in shape and size than the T2 lesion. 24 Using the MRSI data to define the spatial extent of tumor would change the target for RT, [25][26][27] alter the definition of response to therapy, and assist in distinguishing residual and recurrent tumor from nonspecific treatment effects. [28][29][30] Several different ways of representing the metabolic data were considered in this study.…”

Magnetic resonance spectroscopy detection of high lipid levels in intraaxial tumors without central necrosis: a characteristic of malignant lymphoma

“…Elevated lipid peaks are a characteristic of solid and cystic high-grade gliomas but not of high lipid levels in malignant lymphoma on 1 h-mrs low-grade gliomas. 2,22,26,28,29,33 Among our homogeneously enhanced gliomas, low-and high-grade tumors did not differ with respect to lipid peaks, which suggests that the higher lipid peaks in high-grade gliomas may be attributable to their cystic or necrotic components. Future studies are necessary to assess the relationship between the size of lipid peaks and glioma grade.…”

“…Of the 122 gliomas, 49 were Grade IV (47 glioblastomas and 2 gliosarcomas), 33 were Grade III (12 anaplastic astrocytomas, 12 anaplastic oligoastrocytomas, 8 anaplastic oligodendrogliomas, 1 anaplastic pleomorphic xanthoastrocytoma), 30 were Grade II (5 diffuse astrocytomas, 13 oligoastrocytomas, 8 oligodendrogliomas, 3 pilomyxoid astrocytomas, and 1 pleomorphic xanthoastrocytoma), and 10 were Grade I (8 pilocytic astrocytomas, 1 ganglioglioma, and 1 papillary glioneuronal tumor).…”