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Neurosurgical brain tumor detection based on intraoperative optical intrinsic signal imaging technique: A case report of glioblastoma
The delineation of brain tumor margins has been a challenging objective in neurosurgery for decades. Despite the development of various preoperative imaging techniques, the current methodology is still insufficient for clinical practice. We present an intraoperative optical intrinsic signal imaging...
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Published in: | Journal of biophotonics 2020-01, Vol.13 (1), p.e201900200-n/a |
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Main Authors: | , , , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | The delineation of brain tumor margins has been a challenging objective in neurosurgery for decades. Despite the development of various preoperative imaging techniques, the current methodology is still insufficient for clinical practice. We present an intraoperative optical intrinsic signal imaging system for brain tumor surgery and establish a data processing procedure model to localize tumors. From the experimental result of a glioblastoma patient, we observe a relative small oscillation of ΔHbD in tumor region and speculate that vessels in tumor region have poor ability to provide oxygen. We applied the same data processing procedure on the second time data and proclaimed a successful surgery. Figure: Merged ΔHbD image captured prior and posterior to tumor removal.
Intraoperative neurosurgical diagnosis of brain tumor determines the success rate of patients' prognoses. We first proposed a novel approach based on optical method to distinguish the site of tumor by functional manner. The promoted technique is noninvasive, nonradioactive, dye‐free and potential of real‐time monitoring, which is still not available nowadays by using other techniques. We believe that this method can facilitate clinical examination in the future and greatly elongate the patients' longevity. |
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ISSN: | 1864-063X 1864-0648 |
DOI: | 10.1002/jbio.201900200 |