AI Article Synopsis
- Neurosurgery requires high precision for targeting brain tissues, making accurate differentiation between healthy and pathological tissues crucial for successful outcomes.
- Raman spectroscopy (RS) is a valuable tool that enables real-time, non-invasive analysis of tissues, enhancing surgical accuracy and potentially improving patient outcomes in neurosurgical procedures.
- The review highlights that RS improves tumor margin identification and diagnosis speed, especially in glioma surgeries, ultimately aiding surgeons in maximizing tumor removal while minimizing harm to surrounding healthy tissue.
Article Abstract
Background: Neurosurgery demands exceptional precision due to the brain's complex and delicate structures, necessitating precise targeting of pathological targets. Achieving optimal outcomes depends on the surgeon's ability to accurately differentiate between healthy and pathological tissues during operations. Raman spectroscopy (RS) has emerged as a promising innovation, offering real-time, in vivo non-invasive biochemical tissue characterization. This literature review evaluates the current research on RS applications in intraoperative neurosurgery, emphasizing its potential to enhance surgical precision and patient outcomes.
Methods: Following PRISMA guidelines, a comprehensive systematic review was conducted using PubMed to extract relevant peer-reviewed articles. The inclusion criteria focused on original research discussing real-time RS applications with human tissue samples in or near the operating room, excluding retrospective studies, reviews, non-human research, and other non-relevant publications.
Results: Our findings demonstrate that RS significantly improves tumor margin delineation, with handheld devices achieving high sensitivity and specificity. Stimulated Raman Histology (SRH) provides rapid, high-resolution tissue images comparable to traditional histopathology but with reduced time to diagnosis. Additionally, RS shows promise in identifying tumor types and grades, aiding precise surgical decision-making. RS techniques have been particularly beneficial in enhancing the accuracy of glioma surgeries, where distinguishing between tumor and healthy tissue is critical. By providing real-time molecular data, RS aids neurosurgeons in maximizing the extent of resection (EOR) while minimizing damage to normal brain tissue, potentially improving patient outcomes and reducing recurrence rates.
Conclusions: This review underscores the transformative potential of RS in neurosurgery, advocating for continued innovation and research to fully realize its benefits. Despite its substantial potential, further research is needed to validate RS's clinical utility and cost-effectiveness.
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|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11505268 | PMC |
| http://dx.doi.org/10.3390/biomedicines12102363 | DOI Listing |
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