Label‐free serum detection based on Raman spectroscopy for the diagnosis and classification of glioma,Journal of Raman Spectroscopy

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Label‐free serum detection based on Raman spectroscopy for the diagnosis and classification of glioma
Journal of Raman Spectroscopy ( IF 2.4 ) Pub Date : 2020-07-06 , DOI: 10.1002/jrs.5931
Chenxi Zhang ₁ , Ying Han ₂ , Bo Sun ₃ , Wenli Zhang ₄ , Shujun Liu ₁ , Jiajia Liu ₅ , Hong Lv _{1,

6} , Guojun Zhang _{1,

6} , Xixiong Kang _{1,

3,

6}

Affiliation

Glioma is the most prevalent malignant cancer in the central nervous system and can cause significant mortality and morbidity. A rapid, convenient, accurate, and relatively noninvasive diagnostic method for glioma is important and urgently needed. In this study, we investigated the feasibility of using Raman spectroscopy to discriminate patients with glioma from healthy individuals. Serum samples were collected from healthy individuals (n = 86) and patients with glioma [high‐grade glioma (HGG) n = 75, low‐grade glioma (LGG) n = 60]. All spectra were collected with a 785‐nm wavelength laser in the range of 400–1800 cm⁻¹. A total of three spectra were recorded for each sample, and every spectrum was integrated for 12 s and averaged over five accumulations. Principal component analysis and linear discriminant analysis models were combined to classify the Raman spectra of different groups. The correct classification ratios were 95.35, 93.33, and 93.34% for the normal, HGG, and LGG groups, respectively, and the total accuracy was 94.12%. The sensitivity, specificity, and accuracy of differentiating the HGG group from the normal group were 96.00, 96.51, and 96.27%, respectively, with an area under the curve of 0.997; in addition, the sensitivity, specificity, and accuracy of differentiating the LGG group from the normal group were 96.67%, 98.84%, and 97.95%, respectively, with an area under the curve of 0.999. Our study results suggested that the rapid and noninvasive detection method based on principal component analysis and linear discriminant analysis combined with Raman spectroscopy is a highly promising tool for the early diagnosis of glioma.

中文翻译：

基于拉曼光谱的无标记血清检测对神经胶质瘤的诊断和分类

胶质瘤是中枢神经系统中最普遍的恶性肿瘤，可导致明显的死亡率和发病率。快速，方便，准确，相对无创的神经胶质瘤诊断方法非常重要，迫切需要。在这项研究中，我们调查了使用拉曼光谱法将神经胶质瘤患者与健康个体区分开的可行性。从健康个体（n = 86）和脑胶质瘤患者[高级别神经胶质瘤（HGG）n = 75，低级别神经胶质瘤（LGG）n = 60]中收集血清样品。所有光谱都是使用波长为785 nm的激光在400–1800 cm ^-1范围内收集的。每个样品总共记录了三个光谱，每个光谱积分12 s，取五次累加的平均值。结合主成分分析和线性判别分析模型对不同组的拉曼光谱进行分类。正常，HGG和LGG组的正确分类率分别为95.35％，93.33和93.34％，总准确度为94.12％。将HGG组与正常组区分的敏感性，特异性和准确性分别为96.00、96.51和96.27％，曲线下面积为0.997；此外，区分LGG组与正常组的敏感性，特异性和准确性分别为96.67％，98.84％和97.95％，曲线下面积为0.999。

更新日期：2020-07-06

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