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Search for morphological indicators that predict implantation by principal component analysis using images of blastocyst
BACKGROUND: Although the current evaluation of human blastocysts is based on the Gardner criteria, there may be other notable parameters. The purpose of our study was to clarify whether the morphology of blastocysts has notable indicators other than the Gardner criteria. METHODS: To find such indica...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9119295/ https://www.ncbi.nlm.nih.gov/pubmed/35602891 http://dx.doi.org/10.7717/peerj.13441 |
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author | Mashiko, Daisuke Tokoro, Mikiko Kojima, Masae Fukunaga, Noritaka Asada, Yoshimasa Yamagata, Kazuo |
author_facet | Mashiko, Daisuke Tokoro, Mikiko Kojima, Masae Fukunaga, Noritaka Asada, Yoshimasa Yamagata, Kazuo |
author_sort | Mashiko, Daisuke |
collection | PubMed |
description | BACKGROUND: Although the current evaluation of human blastocysts is based on the Gardner criteria, there may be other notable parameters. The purpose of our study was to clarify whether the morphology of blastocysts has notable indicators other than the Gardner criteria. METHODS: To find such indicators, we compared blastocysts that showed elevated human chorionic gonadotropin (hCG) levels after transplantation (hCG-positive group; n = 129) and those that did not (hCG-negative group; n = 105) using principal component analysis of pixel brightness of the images. RESULTS: The comparison revealed that the hCG-positive group had grainy morphology and the hCG-negative group had non-grainy morphology. Classification of the blastocysts by this indicator did not make a difference in Gardner score. Interestingly, all embryos with ≥20% fragmentation were non-grainy. The visual classification based on this analysis was significantly more accurate than the prediction of implantation using the Gardner score ≥3BB. As graininess can be used in combination with the Gardner score, this indicator will enhance current reproductive technologies. |
format | Online Article Text |
id | pubmed-9119295 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | PeerJ Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-91192952022-05-20 Search for morphological indicators that predict implantation by principal component analysis using images of blastocyst Mashiko, Daisuke Tokoro, Mikiko Kojima, Masae Fukunaga, Noritaka Asada, Yoshimasa Yamagata, Kazuo PeerJ Developmental Biology BACKGROUND: Although the current evaluation of human blastocysts is based on the Gardner criteria, there may be other notable parameters. The purpose of our study was to clarify whether the morphology of blastocysts has notable indicators other than the Gardner criteria. METHODS: To find such indicators, we compared blastocysts that showed elevated human chorionic gonadotropin (hCG) levels after transplantation (hCG-positive group; n = 129) and those that did not (hCG-negative group; n = 105) using principal component analysis of pixel brightness of the images. RESULTS: The comparison revealed that the hCG-positive group had grainy morphology and the hCG-negative group had non-grainy morphology. Classification of the blastocysts by this indicator did not make a difference in Gardner score. Interestingly, all embryos with ≥20% fragmentation were non-grainy. The visual classification based on this analysis was significantly more accurate than the prediction of implantation using the Gardner score ≥3BB. As graininess can be used in combination with the Gardner score, this indicator will enhance current reproductive technologies. PeerJ Inc. 2022-05-16 /pmc/articles/PMC9119295/ /pubmed/35602891 http://dx.doi.org/10.7717/peerj.13441 Text en © 2022 Mashiko et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited. |
spellingShingle | Developmental Biology Mashiko, Daisuke Tokoro, Mikiko Kojima, Masae Fukunaga, Noritaka Asada, Yoshimasa Yamagata, Kazuo Search for morphological indicators that predict implantation by principal component analysis using images of blastocyst |
title | Search for morphological indicators that predict implantation by principal component analysis using images of blastocyst |
title_full | Search for morphological indicators that predict implantation by principal component analysis using images of blastocyst |
title_fullStr | Search for morphological indicators that predict implantation by principal component analysis using images of blastocyst |
title_full_unstemmed | Search for morphological indicators that predict implantation by principal component analysis using images of blastocyst |
title_short | Search for morphological indicators that predict implantation by principal component analysis using images of blastocyst |
title_sort | search for morphological indicators that predict implantation by principal component analysis using images of blastocyst |
topic | Developmental Biology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9119295/ https://www.ncbi.nlm.nih.gov/pubmed/35602891 http://dx.doi.org/10.7717/peerj.13441 |
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