An intraoperative diagnosis of parotid gland tumors using Raman spectroscopy and support vector machine

被引:8
|
作者
Yan, Bing [1 ]
Wen, Zhining [2 ]
Li, Yi [3 ]
Li, Longjiang [3 ]
Xue, Lili [4 ]
机构
[1] Xiamen Univ, Dept Otolaryngol Head & Neck Surg, Affiliated Hosp 1, Xiamen, Peoples R China
[2] Sichuan Univ, Coll Chem, Chengdu 610064, Peoples R China
[3] Sichuan Univ, State Key Lab Oral Dis, Chengdu 610064, Peoples R China
[4] Xiamen Univ, Dept Stomatol, Affiliated Hosp 1, Xiamen, Peoples R China
关键词
parotid gland tumors; raman spectroscopy; SVM; diagnosis; SQUAMOUS-CELL CARCINOMA; OPTICAL PATHOLOGY; FROZEN-SECTION; TISSUE; CLASSIFICATION; LESIONS; CANCER; SVM;
D O I
10.1088/1054-660X/24/11/115601
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
The preoperative and intraoperative diagnosis of parotid gland tumors is difficult, but is important for their surgical management. In order to explore an intraoperative diagnostic method, Raman spectroscopy is applied to detect the normal parotid gland and tumors, including pleomorphic adenoma, Warthin's tumor and mucoepidermoid carcinoma. In the 600-1800 cm(-1) region of the Raman shift, there are numerous spectral differences between the parotid gland and tumors. Compared with Raman spectra of the normal parotid gland, the Raman spectra of parotid tumors show an increase of the peaks assigned to nucleic acids and proteins, but a decrease of the peaks related to lipids. Spectral differences also exist between the spectra of parotid tumors. Based on these differences, a remarkable classification and diagnosis of the parotid gland and tumors are carried out by support vector machine (SVM), with high accuracy (96.7 similar to 100%), sensitivity (93.3 similar to 100%) and specificity (96.7 similar to 100%). Raman spectroscopy combined with SVM has a great potential to aid the intraoperative diagnosis of parotid tumors and could provide an accurate and rapid diagnostic approach.
引用
收藏
页数:7
相关论文
共 50 条
  • [1] Discrimination of parotid neoplasms from the normal parotid gland by use of Raman spectroscopy and support vector machine
    Yan, Bing
    Li, Yi
    Yang, Gang
    Wen, Zhi-ning
    Li, Meng-long
    Li, Long-jiang
    ORAL ONCOLOGY, 2011, 47 (05) : 430 - 435
  • [2] Label-free blood serum detection by using surface-enhanced Raman spectroscopy and support vector machine for the preoperative diagnosis of parotid gland tumors
    Yan, Bing
    Li, Bo
    Wen, Zhining
    Luo, Xianyang
    Xue, Lili
    Li, Longjiang
    BMC CANCER, 2015, 15
  • [3] Label-free blood serum detection by using surface-enhanced Raman spectroscopy and support vector machine for the preoperative diagnosis of parotid gland tumors
    Bing Yan
    Bo Li
    Zhining Wen
    Xianyang Luo
    Lili Xue
    Longjiang Li
    BMC Cancer, 15
  • [4] Rapid intraoperative diagnosis of pediatric brain tumors using Raman spectroscopy: A machine learning approach
    Jabarkheel, Rashad
    Ho, Chi-Sing
    Rodrigues, Adrian J.
    Jin, Michael C.
    Parker, Jonathon J.
    Mensah-Brown, Kobina
    Yecies, Derek
    Grant, Gerald A.
    NEURO-ONCOLOGY ADVANCES, 2022, 4 (01)
  • [5] Intraoperative diagnosis of thyroid diseases by fourier transform infrared spectroscopy based on support vector machine
    Wu, Min
    Zhang, Weitao
    Tian, Peirong
    Ling, Xiaofeng
    Xu, Zhi
    INTERNATIONAL JOURNAL OF CLINICAL AND EXPERIMENTAL MEDICINE, 2016, 9 (02): : 2351 - 2358
  • [6] Optical screening of nasopharyngeal cancer using Raman spectroscopy and support vector machine
    Khan, Saranjam
    Ullah, Rahat
    Shahzad, Shaheen
    Javaid, Samina
    Khan, Asifullah
    OPTIK, 2018, 157 : 565 - 570
  • [7] Periodontitis detection using Raman spectroscopy, support vector machine, and salivary biomarkers
    Villalba-Hernandez, Caroleny
    de los Angeles Moyaho-Bernal, Maria
    Narea-Jimenez, Freddy
    Nahum Chavarria-Lizarraga, Hector
    Cecilia Galeazzi-Minutti, Maria
    Carrasco-Gutierrez, Rosendo
    Castro-Ramos, Jorge
    JOURNAL OF RAMAN SPECTROSCOPY, 2022, 53 (05) : 911 - 923
  • [8] PAROTID GLAND TUMORS - DIAGNOSIS AND TREATMENT
    HANNA, DC
    GAISFORD, JC
    AMERICAN JOURNAL OF SURGERY, 1962, 104 (05): : 737 - 740
  • [9] Breast cancer diagnosis from fluorescence spectroscopy using support vector machine
    Choi, Jiyoung
    Gupta, Sharad
    Park, Inho
    Lee, Doheon
    Ye, Jong Chul
    OPTICAL TOMOGRAPHY AND SPECTROSCOPY OF TISSUE VII, 2007, 6434
  • [10] TUMORS OF PAROTID-GLAND - DIAGNOSIS AND THERAPY
    CANCURA, W
    WIENER KLINISCHE WOCHENSCHRIFT, 1979, 91 (22) : 775 - 775