In brain tumor surgery, maximal tumor resection is typically desired. This is complicated by infiltrative tumor cells which cannot be visually distinguished from healthy brain tissue. Optical methods are an emerging field that can potentially revolutionize brain tumor surgery through intraoperative differentiation between healthy and tumor tissues. This study aimed to systematically explore and summarize the existing literature on the use of Raman Spectroscopy (RS), Hyperspectral Imaging (HSI), Optical Coherence Tomography (OCT), and Diffuse Reflectance Spectroscopy (DRS) for brain tumor detection. MEDLINE, Embase, and Web of Science were searched for studies evaluating the accuracy of these systems for brain tumor detection. Outcome measures included accuracy, sensitivity, and specificity. In total, 44 studies were included, covering a range of tumor types and technologies. Accuracy metrics in the studies ranged between 54 and 100% for RS, 69 and 99% for HSI, 82 and 99% for OCT, and 42 and 100% for DRS. This review provides insightful evidence on the use of optical methods in distinguishing tumor from healthy brain tissue.
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http://dx.doi.org/10.3390/jcm13092676 | DOI Listing |
Front Neurosci
December 2024
Institute of Reconstructive Neurobiology, Medical Faculty and University Hospital of Bonn, University of Bonn, Bonn, Germany.
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View Article and Find Full Text PDFIt is becoming more broadly accepted that human-based models are needed to better understand the complexities of the human nervous system and its diseases. The recently developed human brain organotypic culture model is one highly promising model that requires the involvement of neurosurgeons and neurosurgical patients. Studies have investigated the electrophysiological properties of neurons in such human tissues, but the maintenance of other cell types within explanted brain remains largely unknown.
View Article and Find Full Text PDFThe rapid growth, invasiveness, and resistance to treatment of glioblastoma multiforme (GBM) underscore the urgent need for improved diagnostics and therapies. Current surgical practice is limited by challenges with intraoperative imaging, while recurrence monitoring requires expensive magnetic resonance or nuclear imaging scans. Here we introduce 'acoustic tumor paint', an approach to labeling brain tumors for ultrasound imaging, a widely accessible imaging modality.
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