Study on the application and imaging characteristics of optical coherence tomography in vulva lesions

• Published in: Scientific reports Vol. 12; no. 1; pp. 3659 - 10
• Main Authors: Xu, Lida, Ma, Qian, Lin, Shaochong, Ju, Juan, Feng, Shuo, Shi, Zhongna, Bai, Yang, Song, Junzhai, Du, Junpeng, Wang, Baojin
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 07.03.2022; Nature Portfolio
• Subjects: 692/308/2779/109/2425; 692/308/575; Colposcopy; Female; Humanities and Social Sciences; Humans; multidisciplinary; Pregnancy; Prospective Studies; Science; Science (multidisciplinary); Tomography, Optical Coherence - methods; Vulva - diagnostic imaging; Vulvar Diseases - diagnostic imaging; Vulvar Diseases - pathology
• DOI: 10.1038/s41598-022-07634-1
• ISSN: 2045-2322

In this study, a prospective study was conducted by using optical coherence tomography (OCT) in the in vivo detection of vulvar diseases. The clinical efficacy of the OCT we investigated in the detection of vulvar diseases, and the characteristics of the OCT images were defined. Overall, this study recruited 63 patients undergoing the colposcopy for vulvar lesions in three Chinese hospitals from December 20th, 2018 and September 24th, 2019. The colposcopy and the OCT examination were performed successively, and the OCT images were compared with the relevant tissue sections to characterize different lesions. The OCT diagnoses where categorized into 7 types, including normal and inflammatory vulva, condyloma acuminata, papilloma, lichen sclerosus, atrophic sclerosing lichen, fibrous epithelial polyp as well as cysts. The structural characteristics of the vulva tissue can be clearly observed in the OCT image, which are consistent with the characteristics of the tissue section. Compared with the pathological results, the sensitivity, specificity and accuracy of the OCT examination reached 83.82% (95% confidence interval, CI 72.5%–91.3%), 57.89% (95% CI 34.0%–78.9%) and 78.16%, respectively. The OCT is found with the advantages of being noninvasive, real-time and sensitive and with high resolution. It is of high significance to screening vulva diseases, and it is expected as one of the methods to clinically diagnose vulva diseases.