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Quantification of confocal fluorescence microscopy for the detection of cervical intraepithelial neoplasia

Overview of attention for article published in BioMedical Engineering OnLine, October 2015
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Title
Quantification of confocal fluorescence microscopy for the detection of cervical intraepithelial neoplasia
Published in
BioMedical Engineering OnLine, October 2015
DOI 10.1186/s12938-015-0093-6
Pubmed ID
Authors

Fahime Sheikhzadeh, Rabab K. Ward, Anita Carraro, Zhao Yang Chen, Dirk van Niekerk, Dianne Miller, Tom Ehlen, Calum E. MacAulay, Michele Follen, Pierre M. Lane, Martial Guillaud

Abstract

Cervical 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. We 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. The 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 %. Quantitative 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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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Poland 1 2%
Unknown 45 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 22%
Student > Ph. D. Student 6 13%
Student > Doctoral Student 5 11%
Student > Postgraduate 5 11%
Researcher 5 11%
Other 10 22%
Unknown 5 11%
Readers by discipline Count As %
Engineering 11 24%
Physics and Astronomy 6 13%
Agricultural and Biological Sciences 4 9%
Nursing and Health Professions 3 7%
Biochemistry, Genetics and Molecular Biology 3 7%
Other 10 22%
Unknown 9 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 24 October 2015.
All research outputs
#15,348,897
of 22,830,751 outputs
Outputs from BioMedical Engineering OnLine
#424
of 823 outputs
Outputs of similar age
#166,268
of 283,725 outputs
Outputs of similar age from BioMedical Engineering OnLine
#6
of 14 outputs
Altmetric has tracked 22,830,751 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 823 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 35th percentile – i.e., 35% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 283,725 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.