Show simple item record

Files in this item

Thumbnail

Item metadata

dc.contributor.authorMcLaughlin, Marie
dc.contributor.authorKelsey, Tom
dc.contributor.authorWallace, W Hamish B
dc.contributor.authorAnderson, Richard A
dc.contributor.authorTelfer, Evelyn E
dc.date.accessioned2015-06-07T21:40:02Z
dc.date.available2015-06-07T21:40:02Z
dc.date.issued2015-07
dc.identifier.citationMcLaughlin , M , Kelsey , T , Wallace , W H B , Anderson , R A & Telfer , E E 2015 , ' An externally validated age-related model of mean follicle density in the cortex of the human ovary ' , Journal of Assisted Reproduction and Genetics , vol. 32 , no. 7 , pp. 1089-1095 . https://doi.org/10.1007/s10815-015-0501-7en
dc.identifier.issn1058-0468
dc.identifier.otherPURE: 187778734
dc.identifier.otherPURE UUID: 1f5c91d1-1427-455a-a2ad-8b03fc6ee47b
dc.identifier.otherPubMed: 26043911
dc.identifier.otherScopus: 84938991062
dc.identifier.otherPubMed: 26043911
dc.identifier.otherPubMedCentral: PMC4531872
dc.identifier.otherORCID: /0000-0002-8091-1458/work/27201535
dc.identifier.otherWOS: 000359454000012
dc.identifier.urihttp://hdl.handle.net/10023/6772
dc.description.abstractThe population of non-growing follicles present in the ovary is defined as the ovarian reserve. This underpins the reproductive lifespan in women, with its depletion determining age at loss of fertility and the menopause. Data amassed from published results of indirect invasive and non-invasive procedures has resulted in the generation of predictive models which estimate the ovarian reserve from conception throughout adult life. The distribution of follicles in the ovary is not uniform, with the great majority of NGFs located in the cortex, which is the region normally biopsied and used for fertility preservation. Previous models have however analysed whole ovary NGF populations and ovarian volumes, but not cortical NGF density. In this study we compared mean non-growing follicle density values obtained from tissue samples from 13 ovarian cortical biopsies (16-37 years) against age- matched model-predicted values generated from population and ovarian volume models, taking into account the proportion of the ovary that is cortex. A mean non-growing follicle density was calculated for each patient by counting all follicles in a given volume of freshly biopsied ovarian cortical tissue. These values were compared to age-matched model generated densities and the correlation between data sets tested. Non-growing follicle density values obtained from fresh biopsied ovarian cortex samples closely matched model generated data with low mean difference, tight agreement limits and no proportional error between the observed and predicted results. These findings validate the use of the population and ovarian volume models to accurately predict mean follicle density in the ovarian cortex of adult women.
dc.format.extent7
dc.language.isoeng
dc.relation.ispartofJournal of Assisted Reproduction and Geneticsen
dc.rightsThis article is published with open access at Springerlink.com (c) The Author(s) 2015. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.en
dc.subjectAdolescenten
dc.subjectAdulten
dc.subjectAgingen
dc.subjectFemaleen
dc.subjectHumansen
dc.subjectModels, Biologicalen
dc.subjectOvarian Follicleen
dc.subjectOvaryen
dc.subjectReproducibility of Resultsen
dc.subjectYoung Adulten
dc.subjectJournal Articleen
dc.subjectResearch Support, Non-U.S. Gov'ten
dc.subjectQA75 Electronic computers. Computer scienceen
dc.subjectR Medicineen
dc.subjectNDASen
dc.subject.lccQA75en
dc.subject.lccRen
dc.titleAn externally validated age-related model of mean follicle density in the cortex of the human ovaryen
dc.typeJournal articleen
dc.description.versionPublisher PDFen
dc.contributor.institutionUniversity of St Andrews.School of Computer Scienceen
dc.contributor.institutionUniversity of St Andrews.Centre for Interdisciplinary Research in Computational Algebraen
dc.identifier.doihttps://doi.org/10.1007/s10815-015-0501-7
dc.description.statusPeer revieweden
dc.identifier.urlhttp://link.springer.com/article/10.1007/s10815-015-0501-7/fulltext.htmlen


This item appears in the following Collection(s)

Show simple item record