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Neuro Oncol. 2016 Aug;18(8):1180-9. doi: 10.1093/neuonc/now036. Epub 2016 Mar 15.

Whole-brain spectroscopic MRI biomarkers identify infiltrating margins in glioblastoma patients.

Author information

1
Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, Georgia (J.S.C., Z.L., S.S.G., C.A.H., H.S.); Department of Radiation Oncology, Emory University School of Medicine, Atlanta, Georgia(H.G.S., E.S.); Winship Cancer Institute of Emory University, Atlanta, Georgia(H.G.S., Z.L., J.J.O., C.G.H., H.S.); Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, Georgia(S.S.G., L.A.D.C., B.K., H.S.); Department of Biomedical informatics, Emory University School of Medicine, Atlanta, Georgia(L.A.D.C.); Department of Neurosurgery, Emory University School of Medicine, Atlanta, Georgia(J.J.O., C.G.H.); Department of Pathology, Emory University School of Medicine, Atlanta, Georgia(S.G.N.); Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, New York (C.G.H.).

Abstract

BACKGROUND:

The standard of care for glioblastoma (GBM) is maximal safe resection followed by radiation therapy with chemotherapy. Currently, contrast-enhanced MRI is used to define primary treatment volumes for surgery and radiation therapy. However, enhancement does not identify the tumor entirely, resulting in limited local control. Proton spectroscopic MRI (sMRI), a method reporting endogenous metabolism, may better define the tumor margin. Here, we develop a whole-brain sMRI pipeline and validate sMRI metrics with quantitative measures of tumor infiltration.

METHODS:

Whole-brain sMRI metabolite maps were coregistered with surgical planning MRI and imported into a neuronavigation system to guide tissue sampling in GBM patients receiving 5-aminolevulinic acid fluorescence-guided surgery. Samples were collected from regions with metabolic abnormalities in a biopsy-like fashion before bulk resection. Tissue fluorescence was measured ex vivo using a hand-held spectrometer. Tissue samples were immunostained for Sox2 and analyzed to quantify the density of staining cells using a novel digital pathology image analysis tool. Correlations among sMRI markers, Sox2 density, and ex vivo fluorescence were evaluated.

RESULTS:

Spectroscopic MRI biomarkers exhibit significant correlations with Sox2-positive cell density and ex vivo fluorescence. The choline to N-acetylaspartate ratio showed significant associations with each quantitative marker (Pearson's ρ = 0.82, P < .001 and ρ = 0.36, P < .0001, respectively). Clinically, sMRI metabolic abnormalities predated contrast enhancement at sites of tumor recurrence and exhibited an inverse relationship with progression-free survival.

CONCLUSIONS:

As it identifies tumor infiltration and regions at high risk for recurrence, sMRI could complement conventional MRI to improve local control in GBM patients.

KEYWORDS:

5-aminolevulinic acid; glioblastoma; quantitative histological image analysis; spectroscopic MRI; surgical and radiation therapy planning

PMID:
26984746
PMCID:
PMC4933486
DOI:
10.1093/neuonc/now036
[Indexed for MEDLINE]
Free PMC Article

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