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用于通过组织自发荧光和漫反射光谱进行快速准确肺癌检测的光学传感器。

Optical sensor for fast and accurate lung cancer detection with tissue autofluorescence and diffuse reflectance spectroscopy.

作者信息

Yang Xianbei, Chen Anzhi, U Kaicheng, Zhang Sophia Meixuan, Wang Peihao, Li Zheng, Luo Yi, Cui Yong

机构信息

Department of Thoracic Surgery, Beijing Friendship Hospital, Capital Medical University, Beijing, China.

School of Computer Science and Technology, North China University of Technology, Beijing, China.

出版信息

Thorac Cancer. 2025 Jan;16(1):e15476. doi: 10.1111/1759-7714.15476. Epub 2024 Nov 18.

DOI:10.1111/1759-7714.15476
PMID:39558507
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11729394/
Abstract

BACKGROUND

Cancer is a severe threat to human health, and surgery is a major method of cancer treatment. This study aimed to develop an optical sensor for fast cancer tissue.

METHODS

The tissue autofluorescence spectrum and diffuse reflectance spectrum were obtained by using a laboratory-developed optical sensor system. A total of 151 lung tissue samples were used in this ex vivo study.

RESULTS

Experimental results demonstrate that tissue autofluorescence spectroscopy with a 365-nm excitation has better performance than diffuse reflectance spectroscopy, and 63 of 64 test samples (98.4% accuracy) were correctly classified with tissue autofluorescence spectroscopy and our developed data analysis method.

CONCLUSIONS

Our promising ex vivo study results show that the developed optical sensor system has great promise for future clinical translation for intraoperative lung cancer detection and other applications.

摘要

背景

癌症是对人类健康的严重威胁，手术是癌症治疗的主要方法。本研究旨在开发一种用于快速检测癌症组织的光学传感器。

方法

使用实验室开发的光学传感器系统获取组织自体荧光光谱和漫反射光谱。本离体研究共使用了151个肺组织样本。

结果

实验结果表明，365nm激发的组织自体荧光光谱比漫反射光谱具有更好的性能，64个测试样本中的63个（准确率98.4%）通过组织自体荧光光谱和我们开发的数据分析方法被正确分类。

结论

我们有前景的离体研究结果表明，所开发的光学传感器系统在未来用于术中肺癌检测及其他应用的临床转化方面具有巨大潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/59fa/11729394/261615fef902/TCA-16-e15476-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/59fa/11729394/4b75e6c96db6/TCA-16-e15476-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/59fa/11729394/f817c3fabbff/TCA-16-e15476-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/59fa/11729394/d8061ab3c262/TCA-16-e15476-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/59fa/11729394/4e52163cf383/TCA-16-e15476-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/59fa/11729394/1e9c539c7da3/TCA-16-e15476-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/59fa/11729394/1f6310e3c3b1/TCA-16-e15476-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/59fa/11729394/7965a4658202/TCA-16-e15476-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/59fa/11729394/77119aff64e1/TCA-16-e15476-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/59fa/11729394/261615fef902/TCA-16-e15476-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/59fa/11729394/4b75e6c96db6/TCA-16-e15476-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/59fa/11729394/f817c3fabbff/TCA-16-e15476-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/59fa/11729394/d8061ab3c262/TCA-16-e15476-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/59fa/11729394/4e52163cf383/TCA-16-e15476-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/59fa/11729394/1e9c539c7da3/TCA-16-e15476-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/59fa/11729394/1f6310e3c3b1/TCA-16-e15476-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/59fa/11729394/7965a4658202/TCA-16-e15476-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/59fa/11729394/77119aff64e1/TCA-16-e15476-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/59fa/11729394/261615fef902/TCA-16-e15476-g008.jpg

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