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Time-Lapse Culture Improves Development and Pregnancy Outcomes of Sibling Normally Fertilized Oocytes: A Prospective Multicenter Study

Journal
Reproductive medicine and biology (Q1)
Published
24 July 2026
Study design
Unclassified
Evidence level
Level 5, Expert Opinion (CEBM 5)
Authors
Yasuyuki Mio, Takeshi Kuramoto, Takafumi Utsunomiya, Seung Chik Jwa, Keitaro Yumoto, Panagiota Tsounapi
PMID
42502344
DOI
10.1002/rmb2.70077

Why clinicians should know about it

  • Picked for Embryology (paper of the day, 27 July 2026).

Abstract

PURPOSE: To evaluate whether time-lapse monitoring improves embryological outcomes and clinical pregnancy rates compared to conventional culture in a sibling-oocyte study. METHODS: This multicenter-study involved 205 first-time retrieval cycles (n = 3244 mature oocytes). Sibling-oocytes from patients with ≥ 4 oocytes were randomized into conventional and time-lapse groups. The primary outcome was the good-quality blastocyst rate. Key secondary outcomes included Day-2 Good Quality Embryo (GQE) rates and clinical pregnancy rates for both fresh and frozen-thawed embryo transfers (FET). RESULTS: The time-lapse group exhibited a significantly higher GQE rate on Day 2 (42.1% vs. 35.3%, p < 0.01) and a higher good-quality blastocyst rate (44.1% vs. 38.1%, p < 0.01) compared to the conventional group. While clinical pregnancy rates showed a higher trend in the time-lapse group for both fresh ET (44.4% vs. 15.8%) and FET (45.3% vs. 36.7%), these differences did not reach statistical significance. Time-lapse monitoring successfully identified embryos with early pronuclear disappearance as early as 14 h post-insemination. Morphokinetic analysis revealed that abnormal cleavage patterns were associated with significantly lower blastocyst development potential compared to normal cleavage (p < 0.01). CONCLUSION: Time-lapse culture provides a stable environment that enhances embryo quality. While clinical pregnancy rates showed a positive trend, further large-scale studies are needed to confirm the impact on live birth rates.

Abstract as published, via PubMed.

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For healthcare professionals. The summary is generated by AI from the published abstract, and the evidence level is assigned automatically from the study design on the Oxford CEBM hierarchy. Neither is medical advice. Read the full paper before changing practice.