ArticleJournal of biophotonics2023
Depth-resolved attenuation mapping of the human ovary and fallopian tube using optical coherence tomography.
Article in Journal of biophotonics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Optical coherence tomography enables optical biopsy of endometrial tissue for early cancer detection.Npj imaging · 2026Article
- Three-dimensional ex-vivo visualization of normal and inflamed small intestine and colonic tissue using optical coherence tomography.Scientific reports · 2026Article
- Multimodal Optical Imaging of Ex Vivo Fallopian Tubes to Distinguish Early and Occult Tubo-Ovarian Cancers.Cancers · 2024Article
- Depth-Resolved Attenuation Mapping of the Vaginal Wall under Prolapse and after Laser Treatment Using Cross-Polarization Optical Coherence Tomography: A Pilot Study.Diagnostics (Basel, Switzerland) · 2023Article
- Enhanced 3D visualization of human fallopian tube morphology using a miniature optical coherence tomography catheter.Biomedical optics express · 2023Article
Corrections and comments
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Authors and funding
5 authors.
Funding
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.