Quantitative multispectral ex vivo optical evaluation of human ovarian tissue using spatial frequency domain imaging

Sreyankar Nandy; Ian S. Hagemann; Matthew A. Powell; Cary Siegel; Quing Zhu

doi:10.1364/BOE.9.002451

Quantitative multispectral ex vivo optical evaluation of human ovarian tissue using spatial frequency domain imaging

Sreyankar Nandy, Ian S. Hagemann, Matthew A. Powell, Cary Siegel, Quing Zhu

Research output: Contribution to journal › Article › peer-review

13 Scopus citations

Abstract

About 85-90% of all ovarian cancers are carcinomas; these manifest clinically as mass-forming epithelial proliferations involving the ovary. In this study, a visible light spatial frequency domain imaging (SFDI) system was used for multispectral ex vivo imaging and quantitative evaluation of freshly excised benign and malignant human ovarian tissues. A total of 14 ovaries from 11 patients undergoing oophorectomy were investigated. Using a logistic regression model with seven significant spectral and spatial features extracted from SFDI images, a sensitivity of 94.06% and specificity of 93.53% were achieved for prediction of histologically confirmed invasive carcinoma.

Original language	English
Article number	#325365
Pages (from-to)	2451-2456
Number of pages	6
Journal	Biomedical Optics Express
Volume	9
Issue number	5
DOIs	https://doi.org/10.1364/BOE.9.002451
State	Published - May 1 2018

Keywords

Medical optics and biotechnology
ObGyn
Tissue characterization

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10.1364/BOE.9.002451

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title = "Quantitative multispectral ex vivo optical evaluation of human ovarian tissue using spatial frequency domain imaging",

abstract = "About 85-90% of all ovarian cancers are carcinomas; these manifest clinically as mass-forming epithelial proliferations involving the ovary. In this study, a visible light spatial frequency domain imaging (SFDI) system was used for multispectral ex vivo imaging and quantitative evaluation of freshly excised benign and malignant human ovarian tissues. A total of 14 ovaries from 11 patients undergoing oophorectomy were investigated. Using a logistic regression model with seven significant spectral and spatial features extracted from SFDI images, a sensitivity of 94.06% and specificity of 93.53% were achieved for prediction of histologically confirmed invasive carcinoma.",

keywords = "Medical optics and biotechnology, ObGyn, Tissue characterization",

author = "Sreyankar Nandy and Hagemann, {Ian S.} and Powell, {Matthew A.} and Cary Siegel and Quing Zhu",

note = "Funding Information: National Institute of Health (NIH) (R01CA151570). The authors would like to thank Dr. Andrea Hagemann and Dr. Katherine Fuh from the department of Obstetrics & Gynecology at Washington University School of Medicine for patient recruitment. The authors would also like to thank Ruth Holdener and Lynne Lippmann from Radiology and Gynecologic Oncology division at Washington University School of Medicine for helping with patient consent and study coordination. Publisher Copyright: {\textcopyright} 2018 Optical Society of America under the terms of the OSA Open Access Publishing Agreement.",

year = "2018",

month = may,

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doi = "10.1364/BOE.9.002451",

language = "English",

volume = "9",

pages = "2451--2456",

journal = "Biomedical Optics Express",

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AU - Nandy, Sreyankar

AU - Hagemann, Ian S.

AU - Powell, Matthew A.

AU - Siegel, Cary

AU - Zhu, Quing

N1 - Funding Information: National Institute of Health (NIH) (R01CA151570). The authors would like to thank Dr. Andrea Hagemann and Dr. Katherine Fuh from the department of Obstetrics & Gynecology at Washington University School of Medicine for patient recruitment. The authors would also like to thank Ruth Holdener and Lynne Lippmann from Radiology and Gynecologic Oncology division at Washington University School of Medicine for helping with patient consent and study coordination. Publisher Copyright: © 2018 Optical Society of America under the terms of the OSA Open Access Publishing Agreement.

PY - 2018/5/1

Y1 - 2018/5/1

N2 - About 85-90% of all ovarian cancers are carcinomas; these manifest clinically as mass-forming epithelial proliferations involving the ovary. In this study, a visible light spatial frequency domain imaging (SFDI) system was used for multispectral ex vivo imaging and quantitative evaluation of freshly excised benign and malignant human ovarian tissues. A total of 14 ovaries from 11 patients undergoing oophorectomy were investigated. Using a logistic regression model with seven significant spectral and spatial features extracted from SFDI images, a sensitivity of 94.06% and specificity of 93.53% were achieved for prediction of histologically confirmed invasive carcinoma.

AB - About 85-90% of all ovarian cancers are carcinomas; these manifest clinically as mass-forming epithelial proliferations involving the ovary. In this study, a visible light spatial frequency domain imaging (SFDI) system was used for multispectral ex vivo imaging and quantitative evaluation of freshly excised benign and malignant human ovarian tissues. A total of 14 ovaries from 11 patients undergoing oophorectomy were investigated. Using a logistic regression model with seven significant spectral and spatial features extracted from SFDI images, a sensitivity of 94.06% and specificity of 93.53% were achieved for prediction of histologically confirmed invasive carcinoma.

KW - Medical optics and biotechnology

KW - ObGyn

KW - Tissue characterization

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IS - 5

M1 - #325365

ER -

Quantitative multispectral ex vivo optical evaluation of human ovarian tissue using spatial frequency domain imaging

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