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

Author:

Mashiko Daisuke1,Tokoro Mikiko12,Kojima Masae2,Fukunaga Noritaka2,Asada Yoshimasa2,Yamagata Kazuo1

Affiliation:

1. Graduate School of Biology-Oriented Science and Technology, Kindai University, Kinokawa, Wakayama, Japan

2. Asada Institute for Reproductive Medicine, Asada Ladies Clinic, Nagoya, Aichi, Japan

Abstract

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.

Funder

JSPS KAKENHI

JSPS Research Fellow

Publisher

PeerJ

Subject

General Agricultural and Biological Sciences,General Biochemistry, Genetics and Molecular Biology,General Medicine,General Neuroscience

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