Whole-brain spectroscopic MRI biomarkers identify infiltrating margins in glioblastoma patients. Issue 8 (15th March 2016)
- Record Type:
- Journal Article
- Title:
- Whole-brain spectroscopic MRI biomarkers identify infiltrating margins in glioblastoma patients. Issue 8 (15th March 2016)
- Main Title:
- Whole-brain spectroscopic MRI biomarkers identify infiltrating margins in glioblastoma patients
- Authors:
- Cordova, James S.
Shu, Hui-Kuo G.
Liang, Zhongxing
Gurbani, Saumya S.
Cooper, Lee A. D.
Holder, Chad A.
Olson, Jeffrey J.
Kairdolf, Brad
Schreibmann, Eduard
Neill, Stewart G.
Hadjipanayis, Constantinos G.
Shim, Hyunsuk - Abstract:
- 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 < .001Abstract: 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. … (more)
- Is Part Of:
- Neuro-oncology. Volume 18:Issue 8(2016:Aug.)
- Journal:
- Neuro-oncology
- Issue:
- Volume 18:Issue 8(2016:Aug.)
- Issue Display:
- Volume 18, Issue 8 (2016)
- Year:
- 2016
- Volume:
- 18
- Issue:
- 8
- Issue Sort Value:
- 2016-0018-0008-0000
- Page Start:
- 1180
- Page End:
- 1189
- Publication Date:
- 2016-03-15
- Subjects:
- 5-aminolevulinic acid -- glioblastoma -- quantitative histological image analysis -- spectroscopic MRI -- surgical and radiation therapy planning
Brain Neoplasms -- Periodicals
Brain -- Tumors -- Periodicals
Brain -- Cancer -- Periodicals
Nervous system -- Cancer -- Periodicals
616.99481 - Journal URLs:
- http://neuro-oncology.dukejournals.org/ ↗
http://neuro-oncology.oxfordjournals.org/ ↗
http://www.oxfordjournals.org/content?genre=journal&issn=1522-8517 ↗
http://ukcatalogue.oup.com/ ↗ - DOI:
- 10.1093/neuonc/now036 ↗
- Languages:
- English
- ISSNs:
- 1522-8517
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 6081.288000
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