Discrimination of infiltrative glioma boundary based on laser-induced breakdown spectroscopy
| Autor: | Xutai Cui, Wenting Xiangli, M. Nouman Khan, Kai Wei, Xueling Qi, Bushra Sana Idrees, Hongwei Zhang, Haifeng Yang, Qianqian Wang, Geer Teng |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
010302 applied physics
Boundary detection Materials science 010401 analytical chemistry Brain tumor Boundary (topology) Healthy tissue medicine.disease 01 natural sciences Primary tumor Atomic and Molecular Physics and Optics 0104 chemical sciences Analytical Chemistry Nuclear magnetic resonance Glioma 0103 physical sciences medicine Laser-induced breakdown spectroscopy Instrumentation Spectroscopy High recurrence rate |
| Zdroj: | Spectrochimica Acta Part B: Atomic Spectroscopy. 165:105787 |
| ISSN: | 0584-8547 |
| DOI: | 10.1016/j.sab.2020.105787 |
| Popis: | Glioma is a kind of brain tumor which infiltrates from the primary tumor to surrounding healthy tissue. Due to the difficulty in determining the tumor infiltrative boundary during surgery, it has both high recurrence rate and high mortality rate. In this paper, an intraoperative discrimination method of infiltrative glioma boundary was proposed based on laser-induced breakdown spectroscopy (LIBS). The elemental information was used for intraoperative glioma boundary detection for the first time. Theoretical verification was performed on paraffin-embedded samples. Meanwhile, the formation mechanism of spectral lines and elemental composition were analyzed. Afterwards, fresh glioma samples and border infiltrated tissues were detected during the operation. Combined with support vector machine (SVM) and feature selection method, the correct classification rate (CCR) of the glioma and boundary tissue achieved 95%. |
| Databáze: | OpenAIRE |
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