ArticleBiomedical engineering online2015
Quantification of confocal fluorescence microscopy for the detection of cervical intraepithelial neoplasia.
Article in Biomedical engineering online, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed, 27 citations in OpenAlex.
- Automated analysis of digital medical images in cervical cancer screening: A systematic review.medRxiv : the preprint server for health sciences · 2024Article
- Usability of a smartphone-compatible, confocal micro-endoscope for cervical cancer screening in resource-limited settings.BMC women's health · 2024Article
- Automated analysis of scattering-based light sheet microscopy images of anal squamous intraepithelial lesions.Biomedical optics express · 2024Article
- Marvin Minsky: The Visionary Behind the Confocal Microscope and the Father of Artificial Intelligence.Cureus · 2024Review
- Compact scattering-based light sheet microscopy probe using a custom miniature objective lens.Journal of optical microsystems · 2024Article
- DermoGAN: multi-task cycle generative adversarial networks for unsupervised automatic cell identification onJournal of biomedical optics · 2024Article
- Cervical Cancer Screening Revolution: Advancements with Confocal Endomicroscopy.Asian Pacific journal of cancer prevention : APJCP · 2024Article
- Optical imaging for screening and early cancer diagnosis in low-resource settings.Nature reviews bioengineering · 2024Article
- Optical imaging for early detection of cervical cancer: state of the art and perspectives.Journal of biomedical optics · 2023Review
- Automatic granular and spinous epidermal cell identification and analysis onJournal of biomedical optics · 2023Article
- Low-cost, chromatic confocal endomicroscope for cellular imagingBiomedical optics express · 2021Article
- Assessment of internal refractive index profile of stochastically inhomogeneous nuclear models via analysis of two-dimensional optical scattering patterns.Journal of biomedical optics · 2021Article
- Automatic labeling of molecular biomarkers of immunohistochemistry images using fully convolutional networks.PloS one · 2018Article
- Inhibitory effect of oxidative damage on cardiomyocyte differentiation from Wharton's jelly-derived mesenchymal stem cells.Experimental and therapeutic medicine · 2017Article
- Optical techniques for cervical neoplasia detection.Beilstein journal of nanotechnology · 2017Review
- Fluorescence confocal endomicroscopy of the cervix: pilot study on the potential and limitations for clinical implementation.Journal of biomedical optics · 2016Article
- Limits of Applicability of the Voronoi Tessellation Determined by Centers of Cell Nuclei to Epithelium Morphology.Frontiers in physiology · 2016Article
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Authors and funding
11 authors at 4 institutions in 2 countries.
Funding
Abstract
backgroundCervical cancer remains a major health problem, especially in developing countries. Colposcopic examination is used to detect high-grade lesions in patients with a history of abnormal pap smears. New technologies are needed to improve the sensitivity and specificity of this technique. We propose to test the potential of fluorescence confocal microscopy to identify high-grade lesions.
methodsWe examined the quantification of ex vivo confocal fluorescence microscopy to differentiate among normal cervical tissue, low-grade Cervical Intraepithelial Neoplasia (CIN), and high-grade CIN. We sought to (1) quantify nuclear morphology and tissue architecture features by analyzing images of cervical biopsies; and (2) determine the accuracy of high-grade CIN detection via confocal microscopy relative to the accuracy of detection by colposcopic impression. Forty-six biopsies obtained from colposcopically normal and abnormal cervical sites were evaluated. Confocal images were acquired at different depths from the epithelial surface and histological images were analyzed using in-house software.
resultsThe features calculated from the confocal images compared well with those features obtained from the histological images and histopathological reviews of the specimens (obtained by a gynecologic pathologist). The correlations between two of these features (the nuclear-cytoplasmic ratio and the average of three nearest Delaunay-neighbors distance) and the grade of dysplasia were higher than that of colposcopic impression. The sensitivity of detecting high-grade dysplasia by analysing images collected at the surface of the epithelium, and at 15 and 30 μm below the epithelial surface were respectively 100, 100, and 92 %.
conclusionsQuantitative analysis of confocal fluorescence images showed its capacity for discriminating high-grade CIN lesions vs. low-grade CIN lesions and normal tissues, at different depth of imaging. This approach could be used to help clinicians identify high-grade CIN in clinical settings.
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