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dc.contributor.author | Molina Botella, María Inmaculada | es_ES |
dc.contributor.author | Lázaro Ibáñez, Elisa | es_ES |
dc.contributor.author | Pertusa, José | es_ES |
dc.contributor.author | Debón Aucejo, Ana María | es_ES |
dc.contributor.author | Martinez Sanchis, Juan Vicente | es_ES |
dc.contributor.author | Pellicer Bofill, Antonio Joaquin | es_ES |
dc.date.accessioned | 2017-05-12T12:18:30Z | |
dc.date.available | 2017-05-12T12:18:30Z | |
dc.date.issued | 2014 | es_ES |
dc.identifier.issn | 1472-6483 | es_ES |
dc.identifier.uri | http://hdl.handle.net/10251/81087 | |
dc.description.abstract | [EN] The risk of multiple pregnancy to maternal fetal health can be minimized by reducing the number of embryos transferred. New tools for selecting embryos with the highest implantation potential should be developed. The aim of this study was to evaluate the ability of morphological and morphometric variables to predict implantation by analysing images of embryos. This was a retrospective study of 135 embryo photographs from 112 IVF ICSI cycles carried out between January and March 2011. The embryos were photographed immediately before transfer using Cronus 3 software. Their images were analysed using the public program ImageJ. Significant effects (P < 0.05), and higher discriminant power to predict implantation were observed for the morphometric embryo variables compared with morphological ones. The features for successfully implanted embryos were as follows: four cells on day 2 of development; all blastomeres with circular shape (roundness factor greater than 0.9), an average zona pellucida thickness of 13 µm and an average of 17695.1 µm2 for the embryo area. Embryo size, which is described by its area and the average roundness factor for each cell, provides two objective variables to consider when predicting implantation. This approach should be further investigated for its potential ability to improve embryo scoring. | es_ES |
dc.language | Inglés | es_ES |
dc.publisher | Elsevier | es_ES |
dc.relation.ispartof | Reproductive BioMedicine Online | es_ES |
dc.rights | Reserva de todos los derechos | es_ES |
dc.subject | Image analysis, embryo grading systems | es_ES |
dc.subject | Logit regression | es_ES |
dc.subject | Morphology | es_ES |
dc.subject | Morphometry | es_ES |
dc.subject | ROC curve | es_ES |
dc.subject.classification | ESTADISTICA E INVESTIGACION OPERATIVA | es_ES |
dc.subject.classification | PRODUCCION ANIMAL | es_ES |
dc.title | A minimally invasive methodology based on morphometric parameters for day 2 embryo quality assessment | |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.1016/j.rbmo.2014.06.005 | es_ES |
dc.rights.accessRights | Abierto | |
dc.contributor.affiliation | Universitat Politècnica de València. Facultad de Administración y Dirección de Empresas - Facultat d'Administració i Direcció d'Empreses | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Escuela Técnica Superior de Ingeniería Agronómica y del Medio Natural - Escola Tècnica Superior d'Enginyeria Agronòmica i del Medi Natural | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Instituto de Reconocimiento Molecular y Desarrollo Tecnológico - Institut de Reconeixement Molecular i Desenvolupament Tecnològic | es_ES |
dc.description.bibliographicCitation | Molina Botella, MI.; Lázaro Ibáñez, E.; Pertusa, J.; Debón Aucejo, AM.; Martinez Sanchis, JV.; Pellicer Bofill, AJ. (2014). A minimally invasive methodology based on morphometric parameters for day 2 embryo quality assessment. Reproductive BioMedicine Online. 29(4):470-480. doi:10.1016/j.rbmo.2014.06.005 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | http://doi.org/10.1016/j.rbmo.2014.06.005 | |
dc.description.upvformatpinicio | 470 | es_ES |
dc.description.upvformatpfin | 480 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 29 | es_ES |
dc.description.issue | 4 | es_ES |
dc.relation.senia | 271936 | es_ES |
dc.identifier.eissn | 1472-6491 | |
dc.identifier.pmid | 25154014 |