In situ brain tumor detection using a Raman spectroscopy system—results of a multicenter study

Safe and effective brain tumor surgery aims to remove tumor tissue, not non-tumoral brain. This is a challenge since tumor cells are often not visually distinguishable from peritumoral brain during surgery. To address this, we conducted a multicenter study testing whether the Sentry System could dis...

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Bibliographic Details
Published in:Scientific reports 2024-06, Vol.14 (1), p.13309-12
Main Authors: Ember, Katherine, Dallaire, Frédérick, Plante, Arthur, Sheehy, Guillaume, Guiot, Marie-Christine, Agarwal, Rajeev, Yadav, Rajeev, Douet, Alice, Selb, Juliette, Tremblay, Jean Philippe, Dupuis, Alex, Marple, Eric, Urmey, Kirk, Rizea, Caroline, Harb, Armand, McCarthy, Lily, Schupper, Alexander, Umphlett, Melissa, Tsankova, Nadejda, Leblond, Frédéric, Hadjipanayis, Constantinos, Petrecca, Kevin
Format: Article
Language:English
Subjects:
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Adult
Aged
Brain - diagnostic imaging
Brain - pathology
Brain cancer
Brain Neoplasms - diagnosis
Brain Neoplasms - pathology
Brain Neoplasms - surgery
Brain tumors
Female
Glioblastoma
Glioblastoma - diagnosis
Glioblastoma - pathology
Glioblastoma - surgery
Glioma
Humanities and Social Sciences
Humans
Machine Learning
Male
Meningioma
Meningioma - diagnosis
Meningioma - pathology
Metastases
Metastasis
Middle Aged
multidisciplinary
Raman spectroscopy
Science
Science (multidisciplinary)
Spectroscopy
Spectrum analysis
Spectrum Analysis, Raman - methods
Surgery
Tissues
Tumor cells
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Summary:Safe and effective brain tumor surgery aims to remove tumor tissue, not non-tumoral brain. This is a challenge since tumor cells are often not visually distinguishable from peritumoral brain during surgery. To address this, we conducted a multicenter study testing whether the Sentry System could distinguish the three most common types of brain tumors from brain tissue in a label-free manner. The Sentry System is a new real time, in situ brain tumor detection device that merges Raman spectroscopy with machine learning tissue classifiers. Nine hundred and seventy-six in situ spectroscopy measurements and colocalized tissue specimens were acquired from 67 patients undergoing surgery for glioblastoma, brain metastases, or meningioma to assess tumor classification. The device achieved diagnostic accuracies of 91% for glioblastoma, 97% for brain metastases, and 96% for meningiomas. These data show that the Sentry System discriminated tumor containing tissue from non-tumoral brain in real time and prior to resection.
ISSN:2045-2322
2045-2322
DOI:10.1038/s41598-024-62543-9