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. 2023 Jun;16(6):e202300002.
doi: 10.1002/jbio.202300002. Epub 2023 Mar 21.

Depth-resolved attenuation mapping of the human ovary and fallopian tube using optical coherence tomography

Affiliations

Depth-resolved attenuation mapping of the human ovary and fallopian tube using optical coherence tomography

Shuying Li et al. J Biophotonics. 2023 Jun.

Abstract

Due to the lack of reliable early-diagnostic tools, most ovarian cancers are diagnosed at late stages. Although optical coherence tomography (OCT) has shown promise for identifying diseased ovaries and fallopian tubes at an earlier stage, previous studies either did not provide quantitative scattering mapping or simply used Beer's law to fit the scattering coefficients of each A-line. In this paper, we calculated the pixel-wise attenuation coefficients of ovaries and fallopian tubes in OCT images. Data from 73 freshly excised human ovaries and fallopian tubes from 36 patients have shown that statistical features are statistically different between cancerous ovaries, infundibula, and fimbriae and normal ones.

Keywords: OCT; cancer assessment; depth-resolved attenuation; fallopian tube; ovary.

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Conflict of interest statement

FUNDING INFORMATION

The authors declare no financial conflict of interest.

CONFLICT OF INTEREST STATEMENT

The authors declare no conflict of interest.

Figures

FIGURE 1
FIGURE 1
B-scan OCT images from normal, benign, and cancerous ovaries; their corresponding attenuation maps and H & E images.
FIGURE 2
FIGURE 2
B-scan OCT images from normal, benign, and cancerous fimbriae; their corresponding attenuation maps and H & E images.
FIGURE 3
FIGURE 3
B-scan OCT images from normal, benign and cancerous infundibula; their corresponding attenuation maps and H & E images.
FIGURE 4
FIGURE 4
Statistical features from attenuation maps of ovaries.
FIGURE 5
FIGURE 5
Statistical features calculated from attenuation maps of fimbriae.
FIGURE 6
FIGURE 6
Statistical features calculated from attenuation maps of infundibula.
FIGURE 7
FIGURE 7
Comparison of statistical features of benign ovaries from pre-menopausal and post-menopausal patients.

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