Depth-resolved attenuation mapping of the human ovary and fallopian tube using optical coherence tomography.
Shuying LiHongbo LuoSitai KouIan S HagemannQuing ZhuPublished in: Journal of biophotonics (2023)
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.
Keyphrases
- optical coherence tomography
- diabetic retinopathy
- endothelial cells
- high resolution
- end stage renal disease
- optic nerve
- ejection fraction
- induced pluripotent stem cells
- newly diagnosed
- chronic kidney disease
- big data
- prognostic factors
- peritoneal dialysis
- high density
- electronic health record
- patient reported outcomes
- convolutional neural network
- artificial intelligence