1. Diagnosis of cervical squamous cell carcinoma and cervical adenocarcinoma based on Raman spectroscopy and support vector machine
- Author
-
Cheng-Xia Zheng, Song Qing, Xiaoyi Lü, Jing Wang, Xiaxia Yue, Jun Tang, Hongyi Li, Cailing Ma, and Guodong Lü
- Subjects
Pathology ,medicine.medical_specialty ,Diagnostic methods ,Support Vector Machine ,Cervical Squamous Cell Carcinoma ,030303 biophysics ,Biophysics ,Uterine Cervical Neoplasms ,Dermatology ,Adenocarcinoma ,Spectrum Analysis, Raman ,Sensitivity and Specificity ,Diagnosis, Differential ,030207 dermatology & venereal diseases ,03 medical and health sciences ,symbols.namesake ,0302 clinical medicine ,medicine ,Biochemical composition ,Humans ,Pharmacology (medical) ,Cervical cancer ,0303 health sciences ,Principal Component Analysis ,business.industry ,Cervical adenocarcinoma ,medicine.disease ,Cervical tissue ,Oncology ,symbols ,Carcinoma, Squamous Cell ,Female ,Raman spectroscopy ,business - Abstract
In this report, we collected the Raman spectrum of cervical adenocarcinoma and cervical squamous cell carcinoma tissues by a micro-Raman spectroscopy system. We analysed, compared and summarized the characteristics and differences of the normalized mean Raman spectra of the two tissues and pointed out the major differences in the biochemical composition between the two tissues. The PCA-SVM model that was used to distinguish the two types of cervical cancer tissues was established. The accuracy of the model in differentiating cervical adenocarcinoma from cervical squamous cell carcinoma was 93.125%. The results of this study indicate that Raman spectroscopy of cervical adenocarcinoma and cervical squamous cell carcinoma tissue in combination with SVM (support vector analysis) and PCA (principal component analysis) can be useful for the classification of cervical adenocarcinoma and cervical squamous cell carcinoma tissues and for the exploration of the differences in biochemical compositions between the two types of cervical tissue. This study lays a foundation to further study Raman spectroscopy as a clinical diagnostic method for cervical cancer.
- Published
- 2019