Abstract 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%.

中文翻译：

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基于激光诱导击穿光谱的浸润性胶质瘤边界判别

摘要 胶质瘤是一种从原发肿瘤向周围健康组织浸润的脑肿瘤。由于手术中难以确定肿瘤浸润边界，因此具有较高的复发率和较高的死亡率。本文提出了一种基于激光诱导击穿光谱（LIBS）的浸润性胶质瘤边界的术中判别方法。该元素信息首次用于术中胶质瘤边界检测。对石蜡包埋的样品进行了理论验证。同时分析了谱线的形成机理和元素组成。之后，在手术过程中检测到新鲜的胶质瘤样本和边界浸润组织。结合支持向量机（SVM）和特征选择方法，