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research-article

Development of a multimodal colposcopy for early screening of cervical intraepithelial neoplasia

[+] Author and Article Information
Wenqi Ren

Department of Precision Machinery and Precision Instrumentation, University of Science and Technology of China, Hefei, 230027, China
rwq1112@mail.ustc.edu.cn

Yingjie Qu

Department of Precision Machinery and Precision Instrumentation, University of Science and Technology of China, Hefei, 230027, China
1554046929@qq.com

Jiaojiao Pei

Department of Obstetrics and Gynecology, Second Affiliated Hospital of Chongqing Medical University, Chongqing 400010, China
852975628@qq.com

Linlin Xiao

Department of Obstetrics and Gynecology, Second Affiliated Hospital of Chongqing Medical University, Chongqing 400010, China
xiaolinlinrachel@sina.com

Shiwu Zhang

Department of Precision Machinery and Precision Instrumentation, University of Science and Technology of China, Hefei, 230027, China
swzhang@ustc.edu.cn

Shufang Chang

Department of Obstetrics and Gynecology, Second Affiliated Hospital of Chongqing Medical University, Chongqing 400010, China
shfch2005@163.com

Ronald Xu

Department of Precision Machinery and Precision Instrumentation, University of Science and Technology of China, Hefei, 230027, ChinaDepartment of Biomedical Engineering, the Ohio State University, Columbus, OH 43210, USA
xu.202@osu.edu

1Corresponding author.

ASME doi:10.1115/1.4036335 History: Received July 15, 2016; Revised February 12, 2017

Abstract

Objective: To develop and evaluate the clinical application of a multimodal colposcopy combining multispectral reflectance, autofluorescence and RGB imaging for early screening of cervical intraepithelial neoplasia (CIN). Methods: We developed a multimodal colposcopy system that combined multispectral reflectance, autofluorescence, and RGB imaging for early screening of CIN. We studied the optical properties of cervical tissue first, then the imaging system was designed and tested in clinical trial where comprehensive datasets were acquired and analyzed to differentiate between squamous normal and high grade types of cervical tissue. Results: The specially designed multimodal colposcopy is capable of acquiring multispectral reflectance images, autofluorescence images, and RGB images of cervical tissue consecutively. The classification algorithm was employed on both normal and abnormal cases for image segmentation. The sensitivity and specificity performance of this system related to gold standard of histopathology show statistical significance. Conclusions: Our pilot study demonstrated the clinical potential of this multimodal colposcopic system for early screening of CIN. The low-cost portable characteristics, the simple operating process, and the simple image segmentation algorithm of this system make it possibility to address the needs for CIN early screening in a rapid, cost-effective, and non-invasive fashion in the developing countries.

Copyright (c) 2017 by ASME
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