利用LIBS技术区分皮内痣组织与真皮组织-《深圳大学学报理工版》

文章信息/Info

Title:: Distinguishing intradermal nevus tissues from dermal tissues using laser-induced breakdown spectroscopy

作者:: 祝铭1; 陈秉灵1; 罗腾1; 王梦涵1; 詹淑霞2; 刘丽炜1; TYMISH Y O1; 1）深圳大学光电工程学院光电子器件与系统（教育部/广东省）重点实验室, 深圳 518060；2）深圳市蛇口人民医院皮肤科，深圳 518067

Author(s):: ZHU Ming1; CHEN Bingling1; LUO Teng1; WANG Menghan1; ZHAN Shuxia2; LIU Liwei1; and TYMISH Y O1; 1) 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 2) Dermatology department, Shenzhen Shekou People’s Hospital, Shenzhen 518067, Guangdong Province, P.R.China

Keywords:: atomic spectroscopy; laser surgery for nevus removal; laser-induced breakdown spectroscopy (LIBS); intradermal nevus tissues; dermal tissues; real-time spectroscopy tissues identification

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，然后应用模型将皮内痣组织与真皮组织区分开，区分的成功率为97.5%．

Abstract:: During laser surgery for removing nevus, doctors rely on naked eyes to judge the boundary between the nevus and normal tissue, which results in a large number of cases where nevus might not be completely removed and recurrences occur after surgery. In this work, we use laser-induced breakdown spectroscopy to provide real-time feedback on the spectral information of the tissues in the process of laser removal of nevus so that nevus can be completely removed and postoperative recurrence can be avoided. We use four patients’ surgical removed intradermal nevus tissues and dermal tissues as subjects and establish the mathematical model using atomic emission spectroscopy given by Ca element emission peaks at 393.4 nm and 396.8 nm and Na element emission peaks at 589.0 nm and 589.6 nm. According to our model, the success rate of distinguishing intradermal nevus tissues from dermal tissues reaches 97.5 %.