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Visualization technologies for 5-ALA-based fluorescence-guided surgeries

delete2018-12-15
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L
Linpeng Wei *
D
David W. Roberts
N
Nader Sanai
J
Jonathan Liu
DOI:10.1007/s11060-018-03077-9delete
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摘要

摘要

En 中文
Introduction5-ALA-based fluorescence-guided surgery has been shown to be a safe and effective method to improve intraoperative visualization and resection of malignant gliomas. However, it remains ineffective in guiding the resection of lower-grade, non-enhancing, and deep-seated tumors, mainly because these tumors do not produce detectable fluorescence with conventional visualization technologies, namely, wide-field (WF) surgical microscopy.MethodsWe describe some of the main factors that limit the sensitivity and accuracy of conventional WF surgical microscopy, and then provide a survey of commercial and research prototypes being developed to address these challenges, along with their principles, advantages and disadvantages, as well as the current status of clinical translation for each technology. We also provide a neurosurgical perspective on how these visualization technologies might best be implemented for guiding glioma surgeries in the future.ResultsDetection of PpIX expression in low-grade gliomas and at the infiltrative margins of all gliomas has been achieved with high-sensitivity probe-based visualization techniques. Deep-tissue PpIX imaging of up to 5mm has also been achieved using red-light illumination techniques. Spectroscopic approaches have enabled more accurate quantification of PpIX expression.ConclusionAdvancements in visualization technologies have extended the sensitivity and accuracy of conventional WF surgical microscopy. These technologies will continue to be refined to further improve the extent of resection in glioma patients using 5-ALA-induced fluorescence.
Keyword:
5-ALA
PpIX
Gliomas
Intraoperative guidance
Microscopy
Spectroscopy
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对已上传原文的论文进行重点信息的提取,主要内容包括:简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。

期刊

J
Journal of Neuro-Oncology
IF:
3.1
论文数:
8.2K
被引数:
1.5W

机构

U
University of Washington
学者数:
8.0W
论文数: 7.0W
被引数: 12.5W
D
Dartmouth College
学者数:
1.5W
论文数: 1.4W
被引数: 1.8W
引用论文

引用论文

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