PeerJ (May 2022)

Search for morphological indicators that predict implantation by principal component analysis using images of blastocyst

  • Daisuke Mashiko,
  • Mikiko Tokoro,
  • Masae Kojima,
  • Noritaka Fukunaga,
  • Yoshimasa Asada,
  • Kazuo Yamagata

DOI
https://doi.org/10.7717/peerj.13441
Journal volume & issue
Vol. 10
p. e13441

Abstract

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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.

Keywords