ArticleJournal of mass spectrometry and advances in the clinical lab2022
Towards real-time intraoperative tissue interrogation for REIMS-guided glioma surgery.
Article in Journal of mass spectrometry and advances in the clinical lab, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.
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Who cites it
17 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Rapid evaporative ionization mass spectrometry in surgery: a systematic review.The British journal of surgery · 2025Pooled it
- Shining a light on brain tumors: a review of Raman spectroscopy in the operating room.Journal of biomedical optics · 2026Review
- Intraoperative Mass Spectrometry in Oncology: Technologies, Clinical Applications, and Challenges.Molecules (Basel, Switzerland) · 2026Review
- Ambient ionization mass spectrometry in brain cancer diagnosis.Journal of mass spectrometry and advances in the clinical lab · 2025Review
- Prediction of clinical outcomes of ST-elevated myocardial infarction patients using atmospheric solids analysis probe mass spectrometry and machine learning.The Analyst · 2025Article
- Evaluating rapid evaporative ionization mass spectrometry profiles of human breast cancer cells using a 3D in vitro assay.Analytical and bioanalytical chemistry · 2025Article
- Assessment and interpretation of the status of surgical margins following resective surgery for head and neck squamous cancer: a narrative review.World journal of surgical oncology · 2025Review
- Precision Neuro-Oncology in Glioblastoma: AI-Guided CRISPR Editing and Real-Time Multi-Omics for Genomic Brain Surgery.International journal of molecular sciences · 2025Review
- Integrating Rapid Evaporative Ionization Mass Spectrometry Classification with Matrix-Assisted Laser Desorption Ionization Mass Spectrometry Imaging and Liquid Chromatography-Tandem Mass Spectrometry to Unveil Glioblastoma Overall Survival Prediction.ACS chemical neuroscience · 2025Article
- Point-of-care mass spectrometry metabolomic analysis enabling intraoperative brain tumor diagnosis.Theranostics · 2025Article
- Tumor-Promoted Changes in Pediatric Brain Histology Can Be Distinguished from Normal Parenchyma by Desorption Electrospray Ionization Mass Spectrometry Imaging.Biomedicines · 2024Article
- Rapid evaporative ionization mass spectrometry: A survey through 15 years of applications.Journal of separation science · 2024Review
- Applications of ambient ionization mass spectrometry in 2022: An annual review.Analytical science advances · 2023Review
- The diagnostic accuracy of intraoperative differentiation and delineation techniques in brain tumours.Discover oncology · 2022Review
- High-throughput analysis of tissue microarrays using automated desorption electrospray ionization mass spectrometry.Scientific reports · 2022Article
- Advances in MS instrumentation: The present and future of the clinical lab.Journal of mass spectrometry and advances in the clinical lab · 2022Article
- Rapid, Sensitive, and Versatile: A 5-Year Perspective on Applications of Ambient Ionization Mass Spectrometry in Bioanalytical Science.Mass spectrometry reviewsReview
Corrections and comments
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: The main goal of brain tumour surgery is to maximize tumour resection while avoiding neurological deficits. Accurate characterization of tissue and delineation of resection margins are, therefore, essential to achieve optimal surgical results. Objectives: The primary objective of this study was to develop and validate a mass spectrometry- based technique for the molecular characterization of high- and low-grade glioma tissue during surgery. Methods: An electrosurgical knife is connected to a mass spectrometer (iKnife). Using this system, an aerosol created during electrosurgical resection is aspirated to a mass spectrometer to determine the molecular profile of the tissue within seconds. This rapid evaporative ionization mass spectrometry (REIMS) technique is used to create a chemical profile database and develop a real-time tissue recognition system based on machine learning. Results: Classification models were built by analysing biopsies from 36 patients who underwent brain tumour resection. Our multivariate statistical model could differentiate between astrocytoma grade II and III, glioblastoma, oligodendroglioma grade II and III, and normal brain tissue with an 88% overall accuracy. Astrocytoma and oligodendroglioma grade II were separated from normal brain with a 96% correct classification rate. REIMS could differentiate between different percentages of GBM with 99.2% sensitivity and different percentages of astrocytoma grade II with 97.5% sensitivity. Conclusion: Real-time information during electrosurgical dissection can improve intra-operative decision-making, leading to a more accurate tumour removal for different glioma subtypes.
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