Review
Version 1
Preserved in Portico This version is not peer-reviewed
Advancements in Neurosurgical Intraoperative Histology With Particular Emphasis on Stimulated Raman Scattering (SRS) Microscopy
Version 1
: Received: 3 April 2024 / Approved: 4 April 2024 / Online: 4 April 2024 (08:14:59 CEST)
A peer-reviewed article of this Preprint also exists.
Mohamed, A.A.; Sargent, E.; Williams, C.; Karve, Z.; Nair, K.; Lucke-Wold, B. Advancements in Neurosurgical Intraoperative Histology. Tomography 2024, 10, 693-704. Mohamed, A.A.; Sargent, E.; Williams, C.; Karve, Z.; Nair, K.; Lucke-Wold, B. Advancements in Neurosurgical Intraoperative Histology. Tomography 2024, 10, 693-704.
Abstract
Despite their relatively low incidence globally, CNS tumors remain amongst the most lethal cancers, with only a few other malignancies surpassing them in 5-year mortality rates. Treatment decisions for brain tumors heavily rely on histopathological analysis, particularly intraoperatively, to guide surgical interventions and optimize patient outcomes. Frozen sectioning has emerged as a vital intraoperative technique, allowing for highly accurate, rapid analysis of tissue samples, although it poses challenges regarding interpretive errors and tissue distortion. Raman histology, based on Raman spectroscopy, has shown great promise in providing label-free, molecular information for accurate intraoperative diagnosis, aiding in tumor resection and identification of neurodegenerative disease. Techniques including Stimulated Raman Scattering (SRS), Coherent Anti-Stokes Raman Scattering (CARS), Surface-Enhanced Raman Scattering (SERS), and Tip-Enhanced Raman Scattering (TERS) have profoundly enhanced the speed and resolution of Raman imaging. Similarly, Confocal Laser Endomicroscopy (CLE) allows for real-time imaging and rapid intraoperative histologic evaluation of specimens. While CLE is primarily utilized in gastrointestinal procedures, its application in neurosurgery is promising, particularly in the context of gliomas and meningiomas. This review focuses on discussing the immense progress in intraoperative histology within neurosurgery and provides insight into the impact of these advancements on enhancing patient outcomes..
Keywords
deep neural networks; raman histology; digital histopathological assessment, frozen sectioning, cytologic preparations
Subject
Medicine and Pharmacology, Surgery
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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