SURG-31. INTRAOPERATIVE MOLECULAR DIAGNOSIS AND SURGICAL GUIDANCE USING iKNIFE REAL-TIME MASS SPECTROMETRY

  • Vaqas B
  • White E
  • Hui-Yu H
  • et al.
N/ACitations
Citations of this article
9Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

BACKGROUND: Mass spectrometry offers a novel dimension-rich modality to characterize brain tumors and guide surgery in real-time. It seamlessly integrates with traditional biopolar forceps to offer a level of tissue analysis never available before to the surgeon. We evaluate the use of the iKnife in 40 patients undergoing craniotomy for brain tumors. METHODS: A single centre prospective observational study was designed involving a consecutive series of 40 patients undergoing craniotomy and resection of a range of brain tumors. A neuronavigation system was used to register iKnife readings. Precise intraoperative readings from different tumor zones were taken and compared to matched core biopsy samples verified by routine histopathology. Ex-vivo tissue samples from these cases were also analysed. RESULTS: Multivariate statistics including PCA/LDA analysis was used to analyse the mass spectra obtained and compare these to the histological data. The system correctly identified normal versus tumor tissue in ex-vivo samples, this was then used to inform the in-vivo sample analysis. The system was able to correctly characterise the different brain tumors in the study including meningiomas, metastases as well as intrinsic low grade and high grade gliomas. IDH mutation status was identifiable using the iKnife. CONCLUSIONS: The iKnife represents a system which can accurately and rapidly identify tissue being operated on and easily integrates with the current setup in all operating rooms. The information is collected during routine use of bipolar forceps raising the possibility of controlling tumor resection using the real-time molecular data being obtained. Further multicentre studies are required to investigate patient-patient and machinemachine variability.

Cite

CITATION STYLE

APA

Vaqas, B., White, E., Hui-Yu, H., Balog, J., Galea, D., Takats, Z., & O’Neill, K. (2016). SURG-31. INTRAOPERATIVE MOLECULAR DIAGNOSIS AND SURGICAL GUIDANCE USING iKNIFE REAL-TIME MASS SPECTROMETRY. Neuro-Oncology, 18(suppl_6), vi197–vi197. https://doi.org/10.1093/neuonc/now212.831

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free