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Automatic laser scanning ablation system for high-precision treatment of brain tumors

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Abstract

Complete removal of malignant gliomas is important for the prognosis in neurosurgery treatment. Currently, the challenge is how to detect any remaining tumors and resect them during the operation. We have developed a laser ablation system with accurate tumor analysis and fluorescence guidance for high-precision brain tumor resection during neurosurgery. A 5-aminolevulinic acid-induced fluorescent protoporphyrins IX (PpIX)-based intra-operative fluorescence measurement and corresponding spectra analysis technique is used to identify the position of tumors. A galvano mirror scanning mechanism is integrated into the fluorescence measurement and the laser ablation devices for automatic tumor area scanning and corresponding laser ablation. A set of phantom experiments was performed to evaluate the proposed system. Results showed that the galvano scanning mechanism enabled both PpIX fluorescence detection and laser ablation in the same optical axis. In vitro experiments using porcine brain were performed to evaluate the effectiveness of the automatic laser scanning, fluorescence detection, and laser ablation system. The proposed fluorescence-guided laser ablation system can provide accurate analysis and high-precision treatment for tumor resection in neurosurgery. With further improvement, the system can be used in neurosurgical implementation to provide accurate, safe, and simple surgical diagnosis and therapy.

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Acknowledgments

This work was supported in part by Grant for Translational Systems Biology and Medicine Initiative from the Ministry of Education, Culture, Sports, Science and Technology of Japan, and Grant-in-Aid for Scientific Research (23680049, 24650289) of the Japan Society for the Promotion of Science (to Liao).

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Correspondence to Hongen Liao.

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Liao, H., Fujiwara, K., Ando, T. et al. Automatic laser scanning ablation system for high-precision treatment of brain tumors. Lasers Med Sci 28, 891–900 (2013). https://doi.org/10.1007/s10103-012-1164-6

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  • DOI: https://doi.org/10.1007/s10103-012-1164-6

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