O-006 Annotation-free embryo score calculated by iDAScore® correlated with live birth and has no correlation with neonatal outcomes after single vitrified-warmed blastocyst transfer
Authors: Ueno S , Berntsen J , Ito M , Okimura T , Kato K 
Published: June 2022

Study question

Does the embryo score calculated by annotation-free embryo scoring system based on deep learning and time-lapse sequence images correlate with live birth (LB) and neonatal outcomes?

Summary answer

Annotation-free embryo score calculated by iDAScore correlates with decreased miscarriage and increased LB and has no correlation with neonatal outcomes.

What is known already

Embryo ranking models have recently been developed based on artificial intelligence (AI) and deep learning to rank embryos according to their potential for pregnancy. The practicability and usability of such models have been reported. And the previous report suggested iDAScore which is one of the deep learning models for embryo scoring was superior to traditional morphological assessment methods and morphokinetic embryo assessment models. However, few studies have used independent datasets to analyze the correlation between the score calculated by AI models, LB, and neonatal outcomes.

Study design, size, duration

A total of 3,010 single vitrified-warmed blastocyst transfer (SVBT) cycles were analyzed retrospectively. The quality and scoring of embryos were assessed using iDAScore v1.0 (iDAScore, Vitrolife, Sweden). The cohort was divided into four groups based on the iDAScore according to the percentile (9.9-9.3, 9.2-8.7, 8.6-7.3 and, 7.2-1.0).

Participants/materials, setting, methods

Scores were calculated using the iDAScore software module in the Vitrolife Technology Hub (Vitrolife, Gothenburg, Sweden). The correlation between iDAScore, LB rates and total miscarriage (TM), including 1st and 2nd trimester miscarriage, were analysed using a trend-test and multivariable logistic regression analysis. Furthermore, similarly, correlation between the iDAScore and neonatal outcomes were analysed.

Main results and the role of chance

LB rates decreased as the iDAScore decreased (P &lt; 0.05), and a similar inverse trend was observed for the TM rates (P &lt; 0.05). Additionally, multivariate logistic regression analysis showed that iDAScore significantly correlated with increased LB (adjusted odds ratio: 1.742, 95% CI: 1.601–1.904, P &lt; 0.05) and decreased TM (adjusted odds ratio: 0.799, 95% CI: 0.706–0.905, P &lt; 0.05). There was no significant correlation between iDAScore and neonatal outcomes, including congenital malformations, sex, gestational age, and birth weight. Multivariate logistic regression analysis, which included maternal and paternal age, maternal body mass index, parity, smoking, and the presence or absence of caesarean section as confounding factors, revealed no significant difference in any neonatal characteristics (low birth weight, small for gestation, large for gestation, preterm birth, male sex rates, and major congenital malformation).

Limitations, reasons for caution

SVBT was performed following minimal stimulation and natural cycle in vitro fertilisation. Therefore, only a few cycles of elective blastocyst transfer were available. However, there was no bias in selecting embryos for SVBT.

Wider implications of the findings

Objective embryo assessment using a completely automatic and annotation-free model, like iDAScore, showed a good correlation with increased LB and decreased TM. Furthermore, it did not correlate with neonatal outcomes. Therefore, iDAScore may be an optimal LB prediction model after SVBT without affecting neonatal outcomes.

Trial registration number

not applicable