1. Method for the Intraoperative Detection of IDH Mutation in Gliomas with Differential Mobility Spectrometry
- Author
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Ilkka Haapala, Anton Kondratev, Antti Roine, Meri Mäkelä, Anton Kontunen, Markus Karjalainen, Aki Laakso, Päivi Koroknay-Pál, Kristiina Nordfors, Hannu Haapasalo, Niku Oksala, Antti Vehkaoja, Joonas Haapasalo, HUS Medical Imaging Center, HUS Neurocenter, Neurokirurgian yksikkö, University of Helsinki, Tampere University, Department of Neurosciences and Rehabilitation, BioMediTech, Department of Paediatrics, Department of Pathology, and Clinical Medicine
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differential mobility spectrometry ,RESECTION ,Brain Neoplasms ,Spectrum Analysis ,3122 Cancers ,3112 Neurosciences ,TEMOZOLOMIDE ,3126 Surgery, anesthesiology, intensive care, radiology ,Isocitrate Dehydrogenase ,3124 Neurology and psychiatry ,PREDICT LONGER SURVIVAL ,1P/19Q ,classification ,isocitrate dehydrogenase (IDH) ,glioma ,Mutation ,Humans ,3111 Biomedicine ,neurosurgery ,neuro-oncology - Abstract
Isocitrate dehydrogenase (IDH) mutation status is an important factor for surgical decision-making: patients with IDH-mutated tumors are more likely to have a good long-term prognosis, and thus favor aggressive resection with more survival benefit to gain. Patients with IDH wild-type tumors have generally poorer prognosis and, therefore, conservative resection to avoid neurological deficit is favored. Current histopathological analysis with frozen sections is unable to identify IDH mutation status intraoperatively, and more advanced methods are therefore needed. We examined a novel method suitable for intraoperative IDH mutation identification that is based on the differential mobility spectrometry (DMS) analysis of the tumor. We prospectively obtained tumor samples from 22 patients, including 11 IDH-mutated and 11 IDH wild-type tumors. The tumors were cut in 88 smaller specimens that were analyzed with DMS. With a linear discriminant analysis (LDA) algorithm, the DMS was able to classify tumor samples with 86% classification accuracy, 86% sensitivity, and 85% specificity. Our results show that DMS is able to differentiate IDH-mutated and IDH wild-type tumors with good accuracy in a setting suitable for intraoperative use, which makes it a promising novel solution for neurosurgical practice. publishedVersion
- Published
- 2022
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