2012
DOI: 10.1158/0008-5472.can-11-2465
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Abstract: Brain tissue biopsies are required to histologically diagnose brain tumors, but current approaches are limited by tissue characterization at the time of surgery. Emerging technologies such as mass spectrometry imaging can enable a rapid direct analysis of cancerous tissue based on molecular composition. Here we illustrate how gliomas can be rapidly classified by desorption electrospray mass spectrometry (DESI-MS) imaging, multivariate statistical analysis, and machine learning. DESI-MS imaging was performed on… Show more

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Cited by 265 publications
(262 citation statements)
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“…We first classified all specimens by brain tumor type discrimination as either meningioma or glioma. Gliomas were further subclassified to determine glioma subtype, grade, and tumor cell concentration (23). Results for these cases are presented in Table 1 and Table S2 and supported by a detailed discussion of mass spectral and statistical results.…”
Section: Diagnosis Of Tissue Specimens From Five Stereotactic Surgicamentioning
confidence: 75%
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“…We first classified all specimens by brain tumor type discrimination as either meningioma or glioma. Gliomas were further subclassified to determine glioma subtype, grade, and tumor cell concentration (23). Results for these cases are presented in Table 1 and Table S2 and supported by a detailed discussion of mass spectral and statistical results.…”
Section: Diagnosis Of Tissue Specimens From Five Stereotactic Surgicamentioning
confidence: 75%
“…The mass spectra showed distinctive lipid profiles between gliomas and meningiomas, as discussed next. Lipid species were tentatively identified based on collision-induced dissociation (CID) tandem MS experiments and comparison with CID data obtained previously on lipid species from human gliomas (22,23). Meningioma lipid profiles (Fig.…”
Section: Resultsmentioning
confidence: 96%
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