期刊文献+

利用LIBS技术区分皮内痣组织与真皮组织

Differentiation of intradermal nevus and dermis by laser-induced breakdown spectroscopy
下载PDF
导出
摘要 在激光除痣手术中,医生需依靠肉眼判断痣组织与正常组织边界,导致大量病例存在痣组织清除不完全而复发.本研究提出通过激光诱导击穿光谱(laser-induced breakdown spectroscopy,LIBS)辅助激光除痣手术.将LIBS技术用于激光除痣手术中,通过实时反馈所清除组织的光谱信息,达到完全清除痣组织,避免术后复发的目的.以4组病例的皮内痣组织与真皮组织为对象,采用Ca元素在393. 4 nm和396. 8 nm与Na元素在589. 0 nm和589. 6 nm的特征峰建立数学模型,应用该模型将皮内痣组织与真皮组织区分开,区分成功率达97. 5%. In laser nevus removal surgery,doctors rely on naked eyes to judge the boundary between the nevus and normal tissue,which leads to incomplete clearance of nevus tissue and recurrence in a large number of cases.We use laser-induced breakdown spectroscopy to provide real-time feedback on the spectral information of the tissue in the process of laser removal of nevus so as to eliminate the nevus completely and avoid recurrence after operation.We use four groups of the patients surgical removed intradermal nevus and dermal tissues as subjects and establish the mathematical model by using the characteristic peaks of both Ca at 393.4 nm and 396.8 nm and Na at 589.0 nm and 589.6 nm via atomic emission spectroscopy.According to our model,the success rate of distinguishing intradermal nevus from dermal tissue reaches 97.5%.
作者 祝铭 陈秉灵 罗腾 王梦涵 詹淑霞 刘丽炜 屈军乐 Tymish Y OHULCHANSKYY ZHU Ming;CHEN Bingling;LUO Teng;WANG Menghan;ZHAN Shuxia;LIU Liwei;QU Junle;Tymish Y OHULCHANSKYY(College of Optoelectronic Engineering,Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province,Shenzhen University,Shenzhen 518060,Guangdong Province,P.R.China;Dermatology department,Shenzhen Shekou People s Hospital,Shenzhen 518067,Guangdong Province,P.R.China)
出处 《深圳大学学报(理工版)》 EI CAS CSCD 北大核心 2018年第5期511-515,共5页 Journal of Shenzhen University(Science and Engineering)
基金 国家自然科学基金资助项目(61235012) 广东省自然科学基金创新团队资助项目(2014A030312008) 深圳基础研究资助项目(JCYJ20150930104948169,JCYJ20160328 144746940)。
关键词 原子光谱学 激光除痣 激光诱导击穿光谱 皮内痣 真皮组织 实时光谱组织分辨 atomic spectroscopy laser surgery for nevus removal laser-induced breakdown spectroscopy(LIBS) intradermal nevus tissues dermal tissues real-time spectroscopy tissues identification
  • 相关文献

参考文献2

二级参考文献30

  • 1杨健,杨静宇,叶晖.Fisher线性鉴别分析的理论研究及其应用[J].自动化学报,2003,29(4):481-493. 被引量:97
  • 2吕丽娜,张玥,周定文.采用近红外漫反射光谱法分析牛奶成分[J].天津大学学报(自然科学与工程技术版),2004,37(12):1093-1096. 被引量:25
  • 3施玉珍,陈志春,林贤福.拉曼光谱与红外光谱无损检测技术新进展[J].分析化学,2005,33(2):272-276. 被引量:35
  • 4袁大林,梁逸曾,许青松.QSAR/QSPR模型中的蒙特卡罗交叉效验评价[J].计算机与应用化学,2006,23(6):569-573. 被引量:3
  • 5HOUDong-yan HUIRui-huamLITie-chun etal.Journal of Anshan Normal University.鞍山师范学院学报,2004,6(4):37-37.
  • 6GURi-xu ZHANGJian-guo.Shanxi Journal of Preventive Medicine.山西预防医学,1997,6(3):198-198.
  • 7Titterington D M. Disriminant Aanalysis and Related Topics[M]. In: C. L. Thorns, J. N. Crook, D. B. Edelman. Credit scoring and credit control. Oxford Universty Press, 1992.
  • 8Wu D., He Y., Feng S. J. Short-wave near-infrared spectroscopy analysis of major compounds in milk powder and wavelength assignment [J]. Analytiea Chimica Acta, 2008, 610:232-242.
  • 9Borin A., Ferrao M. F., Mello C., et al. Least-squares support vector machines and near infrared spectroscopy for quantification of common adulterants in powdered milk [J]. Analytica Chimica Acta, 2006, 579: 25-32.
  • 10Esteban-Diez I, Gonzalez-Saiz J M, Pizarro C. An evaluation of orthogonal signal correction methods for the eharacterisation of arabiea and robusta coffee varieties by NIRS [J].Analytica Chimica Acta, 2004, 514(1 ):57-67.

共引文献18

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部