Intraoperative brain tumor classification via laser-induced fluorescence spectroscopy and machine learning

This initial ex vivo clinical study demonstrated the ability of TumorID to rapidly differentiate and classify various pathologies and surrounding brain in a configuration that can be easily translated to scan in vivo. This classification power could allow TumorID to augment surgical decision-making by enabling rapid intraoperative tissue diagnostics and border delineation, potentially improving patient outcomes by allowing for a more informed and complete resection.

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Publication Details

Journal
Journal of neurosurgery
Published
2025-04-05
DOI
https://doi.org/10.3171/2024.12.jns242041
Primary Topic
Intracranial Aneurysms: Treatment and Complications
Type
article
Field-Weighted Citation Impact
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article

Intraoperative brain tumor classification via laser-induced fluorescence spectroscopy and machine learning

Syed M. Adil, William C. Eward, Thomas J. Cummings, Jacob Sperber et al.
Journal of neurosurgery
Intracranial Aneurysms: Treatment and Complications
article

Intraoperative brain tumor classification via laser-induced fluorescence spectroscopy and machine learning

Syed M. Adil, William C. Eward, Thomas J. Cummings, Jacob Sperber, Sully F. Chen, Peter E. Fecci, Jordan Komisarow, Margaret Johnson, Gregory Chamberlin, Anoop P. Patel, David W. Jang, Steven Cook, Ralph Abi Hachem, Benjamin D. Wissel, Edwin Owolo, Tanner J. Zachem, Patrick J. Codd, Courtney Rory Goodwin, Annee Nguyen, Derek G. Southwell, Allan H. Friedman, James E. Herndon, Kerri‐Anne Crowell
article en

Abstract

This initial ex vivo clinical study demonstrated the ability of TumorID to rapidly differentiate and classify various pathologies and surrounding brain in a configuration that can be easily translated to scan in vivo. This classification power could allow TumorID to augment surgical decision-making by enabling rapid intraoperative tissue diagnostics and border delineation, potentially improving patient outcomes by allowing for a more informed and complete resection.

Journal of neurosurgeryVol. 143(2)
Division of Materials Science and Engineering (AU), Duke University Hospital (US)
Peace, Justice and strong institutions
Openalex Percentile: Top 89%
Intracranial Aneurysms: Treatment and Complications
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