Histogram analysis of en face scattering coefficient map predicts malignancy in human ovarian tissue. Issue 11 (5th August 2019)

• Record Type: Journal Article
• Authors: Zeng, Yifeng; Nandy, Sreyankar; Rao, Bin; Li, Shuying; Hagemann, Andrea R.; Kuroki, Lindsay K.; McCourt, Carolyn; Mutch, David G.; Powell, Matthew A.; Hagemann, Ian S.; Zhu, Quing
• Is Part Of: Journal of biophotonics. Volume 12:Issue 11(2019)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2019-08-05
• Subjects: cancer prediction -- optical coherence tomography -- ovarian cancer -- scattering coefficient map; Photonics -- Periodicals; Optical materials -- Periodicals; Optics -- Periodicals; Medical instruments and apparatus -- Periodicals; 621.3605
• DOI: 10.1002/jbio.201900115
• Languages: English
• ISSNs: 1864-063X

Abstract

Abstract: Ovarian cancer is a heterogeneous disease at the molecular and histologic level. Optical coherence tomography (OCT) is able to map ovarian tissue optical properties and heterogeneity, which has been proposed as a feature to aid in diagnosis of ovarian cancer. In this manuscript, depth‐resolved en face scattering maps of malignant ovaries, benign ovaries, and benign fallopian tubes obtained from 20 patients are provided to visualize the heterogeneity of ovarian tissues. Six features are extracted from histograms of scattering maps. All features are able to statistically distinguish benign from malignant ovaries. Two prediction models were constructed based on these features: a logistic regression model (LR) and a support vector machine (SVM). The optimal set of features is mean scattering coefficient and scattering map entropy. The LR achieved a sensitivity and specificity of 97.0% and 97.8%, and SVM demonstrated a sensitivity and specificity of 99.6% and 96.4%. Our initial results demonstrate the feasibility of using OCT as an "optical biopsy tool" for detecting the microscopic scattering changes associated with neoplasia in human ovarian tissue. Abstract : The scattering coefficient map of a benign ovarian specimen on the top left exhibits much higher and homogeneous scattering as compared to malignant ovary on the bottom left, which has significantly lower scatter and disorganized collagen distribution. The corresponding histograms are shown on the right. The reported feasibility study demonstrates the potential of OCT for quantitative assessment of microscopic optical scattering changes associated with the development and progression of ovarian cancers.