ArticleAnalytical chemistry2010
Imaging of meningioma progression by matrix-assisted laser desorption ionization time-of-flight mass spectrometry.
Article in Analytical chemistry, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
16 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Proteomic data in meningiomas: post-proteomic analysis can reveal novel pathophysiological pathways.Journal of neuro-oncology · 2011Pooled it
- Emerging Computational Methods in Mass Spectrometry Imaging.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2022Review
- The diagnostic accuracy of intraoperative differentiation and delineation techniques in brain tumours.Discover oncology · 2022Review
- Pre-operative MRI Radiomics for the Prediction of Progression and Recurrence in Meningiomas.Frontiers in neurology · 2021Article
- 3-Acta pharmaceutica Sinica. B · 2020Article
- Surface-Enhanced Raman Spectroscopy Characterization of Breast Cell Phenotypes: Effect of Nanoparticle Geometry.ACS applied nano materials · 2019Article
- (S)-Oxiracetam is the Active Ingredient in Oxiracetam that Alleviates the Cognitive Impairment Induced by Chronic Cerebral Hypoperfusion in Rats.Scientific reports · 2017Article
- Mass Spectrometry Imaging of Kidney Tissue Sections of Rat Subjected to Unilateral Ureteral Obstruction.Scientific reports · 2017Article
- Analysis of tissue specimens by matrix-assisted laser desorption/ionization imaging mass spectrometry in biological and clinical research.Chemical reviews · 2013Review
- Changes in cancer cell metabolism revealed by direct sample analysis with MALDI mass spectrometry.PloS one · 2013Article
- Recursive feature elimination for brain tumor classification using desorption electrospray ionization mass spectrometry imaging.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2012Article
- Recent advances in single-cell MALDI mass spectrometry imaging and potential clinical impact.Expert review of proteomics · 2011Review
- MALDI imaging mass spectrometry for direct tissue analysis: technological advancements and recent applications.Histochemistry and cell biology · 2011Review
- MALDI Imaging Mass Spectrometry (MALDI-IMS)-application of spatial proteomics for ovarian cancer classification and diagnosis.International journal of molecular sciences · 2011Review
- Classification of astrocytomas and oligodendrogliomas from mass spectrometry data using sparse kernel machines.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2011Article
- MALDI imaging mass spectrometry--painting molecular pictures.Molecular oncology · 2010Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
Often considered benign, meningiomas represent 32% of intracranial tumors with three grades of malignancy defined by the World Health Organization (WHO) histology based classification. Malignant meningiomas are associated with less than 2 years median survival. The inability to predict recurrence and progression of meningiomas induces significant anxiety for patients and limits physicians in implementing prophylactic treatment approaches. This report presents an analytical approach to tissue characterization based on matrix-assisted laser desorption ionization time-of-flight (MALDI TOF) mass spectrometry imaging (MSI) which is introduced in an attempt to develop a reference database for predictive classification of brain tumors. This pilot study was designed to evaluate the potential of such an approach and to begin to address limitations of the current methodology. Five recurrent and progressive meningiomas for which surgical specimens were available from the original and progressed grades were selected and tested against nonprogressive high-grade meningiomas, high-grade gliomas, and nontumor brain specimens. The common profiling approach of data acquisition was compared to imaging and revealed significant benefits in spatially resolved acquisition for improved spectral definition. A preliminary classifier based on the support vector machine showed the ability to distinguish meningioma image spectra from the nontumor brain and from gliomas, a different type of brain tumor, and to enable class imaging of surgical tissue. Although the development of classifiers was shown to be sensitive to data preparation parameters such as recalibration and peak picking criteria, it also suggested the potential for maturing into a predictive algorithm if provided with a larger series of well-defined cases.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.