1. #273 : Comparative Analysis of Pregnancy Predictive Potential Using the Deep Learning Blastocyst Scoring Model Calculated from the Single Focus Blastocyst Image and Time-Lapse Image Sequences
- Author
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Masashi Shioya, Tatsuya Kobayashi, Shun Nakano, Tomoharu Sugiura, Miki Okabe-Kinoshita, Maki Fujita, and Keiichi Takahashi
- Subjects
Reproduction ,QH471-489 - Abstract
Background and Aims: Artificial Intelligence (AI) based embryo evaluation may objective and reduce inter-observer disagreement. Most commercially available AI models use blastocyst morphokinetics from time-lapse monitoring (TLM). Lifewhisperer (LW, FUJIFILM) is an AI-scoring model that uses a single-focus blastocyst image at a single-time point. LW may be more acceptable to many facilities than the TLM model as it does not require a time-lapse incubator. This study analyzed the predictive ability of LW for pregnant embryos and compared it to an AI model based on morphokinetics (iDAscore, Vitrolife) to assess their usefulness. Methods: This retrospective single-center study analyzed 666 vitrified-warmed blastocyst transfer cycles from January 2019 to December 2022. Inclusion criteria were blastocysts that developed within 5 days from insemination (maximum 120 h) using EmbryoScope+ (Vitrolife), intracytoplasmic sperm injection (ICSI) cycle, and a single-blastocyst transfer cycle. LW score (1.0–9.9) was calculated from single-focus blastocyst images taken before vitrification, while iDAScore (1.0–9.9) was calculated from time-lapse image sequences taken at 11 focal every 10 min after ICSI. We calculated the odds ratio for pregnancy and ROC analysis to compare these models. Results: The mean score was higher in pregnant blastocysts than in non-pregnant blastocysts in both models (LW: 7.47 vs. 6.72, p
- Published
- 2023
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