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Table 1 Clinical characteristics of PGT cycles

From: An artificial intelligence model (euploid prediction algorithm) can predict embryo ploidy status based on time-lapse data

Parameter

 

No. of cycles/patients

469

No. of cycles with available blastocysts (%)

419 (89.3)

No. of cycles cancelled (%)

4 (0.8)

No. of cycles included in the study

415

Age (y)

30.8 ± 4.5

Duration of infertility (y)

2.6 ± 2.5

Basic FSH

7.3 ± 2.5

Basic AMH

5.2 ± 3.7

BMI

22.2 ± 3.1

Duration of stimulation (days)

10.3 ± 1.8

No. of oocytes

6,217

No. of matured oocytes

5,026

No. of two pronucleus (2pn)

3850

Fertilization rate (%)

76.6

No. of available blastocyst

1,803

No. of available blastocysts per cycle

4.34

Euploid (%)

617 (34.2)

Aneuploidy (%)

873 (48.4)

Mosaicism (%)

289 (16.0)

Amplification failed (%)

24 (1.3)