Abstract 1866: Ultrahigh resolution optical coherence microscopy for label-free imaging of human cervical lesions ex vivo

Abstract

Abstract Cervical cancer remains the fourth most common cause of cancer and the fourth leading cause of cancer death in women worldwide. In contrast to the decreasing prevalence in developed countries, incidence of cervical cancer remains high in developing countries, such as China, India and Chile. Effective screening of cervical cancer is crucial for early diagnosis of the disease. Ultrahigh resolution optical coherence microscopy (UHR OCM) is an emerging label free imaging technique that can be used to obtain three dimensional (3D) “optical biopsy” of biological samples with cellular resolution up to 2 mm beneath the tissue surface. The goal of this study is to assess the diagnostic value of UHR OCM for human cervical precancer and cancer screening and identify characteristic features in UHR OCM images that correlate with the gold standard histopathology. Six hundred and fifty eight (658) fresh cervical tissues from cervical biopsy, conization and panhysterectomy were obtained from 254 consenting volunteers. Multiple 3D UHR OCM images were obtained from each specimen before the sample was processed for standard histopathology evaluation. Of the 658 samples imaged, 474 had normal cervix or benign lesions, 110 had low grade squamous intraepithelial lesion (LSIL), 57 had high grade squamous intraepithelial lesions (HSIL) and 17 had invasive cancer. UHR OCM images were compared to histopathology slides obtained from the same specimens in order to identify diagnostic image features. Distinctive patterns for squamous epithelium, columnar epithelium, basement membrane, cervical inflammation and erosion, koilocytic cells, low grade and high grade squamous intraepithelial lesions and cervical cancer were clearly observed. Our results lay the foundation for future non-invasive optical evaluation of cervical tissue in vivo. This could lead to a less invasive and more effective screening strategy for cervical cancer based on OCM guided biopsies. Citation Format: Xianxu Zeng, Canyu Li, Xiaofang Wang, Jason Jerwick, Tao Xu, Yuan Ning, Linlin Zhang, Yutao Ma, Xiaoan Zhang, Chao Zhou. Ultrahigh resolution optical coherence microscopy for label-free imaging of human cervical lesions ex vivo [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 1866. doi:10.1158/1538-7445.AM2017-1866