Clinical Outcomes of Single Blastocyst Transfer with Machine Learning Guided Noninvasive Chromosome Screening Grading System in Infertile Patients

Overview

Journal Reprod Biol Endocrinol

Publisher Biomed Central

Specialties Endocrinology
Reproductive Medicine

Date 2024 May 23

PMID 38783347

Authors

Xiaoxi Li

Yaxin Yao

Dunmei Zhao

Xiufeng Chang

Yi Li

Huilan Lin

Huijuan Wei

Haiye Wang

Ying Mi

Lei Huang

Sijia Lu

Weimin Yang

Liyi Cai

Affiliations

Soon will be listed here.

Abstract

Background: Prospective observational studies have demonstrated that the machine learning (ML) -guided noninvasive chromosome screening (NICS) grading system, which we called the noninvasive chromosome screening-artificial intelligence (NICS-AI) grading system, can be used embryo selection. The current prospective interventional clinical study was conducted to investigate whether this NICS-AI grading system can be used as a powerful tool for embryo selection.

Methods: Patients who visited our centre between October 2018 and December 2021 were recruited. Grade A and B embryos with a high probability of euploidy were transferred in the NICS group. The patients in the control group selected the embryos according to the traditional morphological grading. Finally, 90 patients in the NICS group and 161 patients in the control group were compared statistically for their clinical outcomes.

Results: In the NICS group, the clinical pregnancy rate (70.0% vs. 54.0%, p < 0.001), the ongoing pregnancy rate (58.9% vs. 44.7%, p = 0.001), and the live birth rate (56.7% vs. 42.9%, p = 0.001) were significantly higher than those of the control group. When the female was ≥ 35 years old, the clinical pregnancy rate (67.7% vs. 32.1%, p < 0.001), ongoing pregnancy rate (56.5% vs. 25.0%, p = 0.001), and live birth rate (54.8% vs. 25.0%, p = 0.001) in the NICS group were significantly higher than those of the control group. Regardless of whether the patients had a previous record of early spontaneous abortion or not, the live birth rate of the NICS group was higher than that of the control group (61.0% vs. 46.9%; 57.9% vs. 34.8%; 33.3% vs. 0%) but the differences were not statistically significant.

Conclusions: NICS-AI was able to improve embryo utilisation rate, and the live birth rate, especially for those ≥ 35 years old, with transfer of Grade A embryos being preferred, followed by Grade B embryos. NICS-AI can be used as an effective tool for embryo selection in the future.

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References

Xi H, Qiu L, Yao Y, Luo L, Sui L, Fu Y . Noninvasive Chromosome Screening for Evaluating the Clinical Outcomes of Patients With Recurrent Pregnancy Loss or Repeated Implantation Failure. Front Endocrinol (Lausanne). 2022; 13:896357. PMC: 9253989. DOI: 10.3389/fendo.2022.896357. View

Chen L, Li W, Liu Y, Peng Z, Cai L, Zhang N . Non-invasive embryo selection strategy for clinical IVF to avoid wastage of potentially competent embryos. Reprod Biomed Online. 2022; 45(1):26-34. DOI: 10.1016/j.rbmo.2022.03.006. View

Huang J, Yao Y, Jia J, Zhu X, Ma J, Wang J . Chromosome Screening of Human Preimplantation Embryos by Using Spent Culture Medium: Sample Collection and Chromosomal Ploidy Analysis. J Vis Exp. 2021; (175). DOI: 10.3791/62619. View

Li X, Hao Y, Chen D, Ji D, Zhu W, Zhu X . Non-invasive preimplantation genetic testing for putative mosaic blastocysts: a pilot study. Hum Reprod. 2021; 36(7):2020-2034. DOI: 10.1093/humrep/deab080. View

Yakovlev P, Vyatkina S, Polyakov A, Pavlova M, Volkomorov V, Yakovlev M . Neonatal and clinical outcomes after transfer of a mosaic embryo identified by preimplantation genetic testing for aneuploidies. Reprod Biomed Online. 2022; 45(1):88-100. DOI: 10.1016/j.rbmo.2022.01.010. View

Sarkar P, New E, Sprague R, Stillman R, Widra E, Jahandideh S . Live birth per embryo transfer with next generation sequencing preimplantation genetic testing: an analysis of 26,107 cycles. Syst Biol Reprod Med. 2023; 69(5):379-386. DOI: 10.1080/19396368.2023.2208253. View

Stigliani S, Anserini P, Venturini P, Scaruffi P . Mitochondrial DNA content in embryo culture medium is significantly associated with human embryo fragmentation. Hum Reprod. 2013; 28(10):2652-60. DOI: 10.1093/humrep/det314. View

Scott Jr R, Ferry K, Su J, Tao X, Scott K, Treff N . Comprehensive chromosome screening is highly predictive of the reproductive potential of human embryos: a prospective, blinded, nonselection study. Fertil Steril. 2012; 97(4):870-5. DOI: 10.1016/j.fertnstert.2012.01.104. View

Jiao J, Shi B, Sagnelli M, Yang D, Yao Y, Li W . Minimally invasive preimplantation genetic testing using blastocyst culture medium. Hum Reprod. 2019; 34(7):1369-1379. DOI: 10.1093/humrep/dez075. View

10.

Franasiak J, Forman E, Hong K, Werner M, Upham K, Treff N . The nature of aneuploidy with increasing age of the female partner: a review of 15,169 consecutive trophectoderm biopsies evaluated with comprehensive chromosomal screening. Fertil Steril. 2013; 101(3):656-663.e1. DOI: 10.1016/j.fertnstert.2013.11.004. View

11.

Viotti M, McCoy R, Griffin D, Spinella F, Greco E, Madjunkov M . Let the data do the talking: the need to consider mosaicism during embryo selection. Fertil Steril. 2021; 116(5):1212-1219. PMC: 8585724. DOI: 10.1016/j.fertnstert.2021.09.008. View

12.

Cinnioglu C, Glessner H, Jordan A, Bunshaft S . A systematic review of noninvasive preimplantation genetic testing for aneuploidy. Fertil Steril. 2023; 120(2):235-239. DOI: 10.1016/j.fertnstert.2023.06.013. View

13.

Huang L, Bogale B, Tang Y, Lu S, Xie X, Racowsky C . Noninvasive preimplantation genetic testing for aneuploidy in spent medium may be more reliable than trophectoderm biopsy. Proc Natl Acad Sci U S A. 2019; 116(28):14105-14112. PMC: 6628824. DOI: 10.1073/pnas.1907472116. View

14.

Fang R, Yang W, Zhao X, Xiong F, Guo C, Xiao J . Chromosome screening using culture medium of embryos fertilised in vitro: a pilot clinical study. J Transl Med. 2019; 17(1):73. PMC: 6408780. DOI: 10.1186/s12967-019-1827-1. View

15.

Chen L, Sun Q, Xu J, Fu H, Liu Y, Yao Y . A Non-invasive Chromosome Screening Strategy for Prioritizing Fertilization Embryos for Implantation. Front Cell Dev Biol. 2021; 9:708322. PMC: 8380813. DOI: 10.3389/fcell.2021.708322. View

16.

Xu J, Fang R, Chen L, Chen D, Xiao J, Yang W . Noninvasive chromosome screening of human embryos by genome sequencing of embryo culture medium for in vitro fertilization. Proc Natl Acad Sci U S A. 2016; 113(42):11907-11912. PMC: 5081593. DOI: 10.1073/pnas.1613294113. View

17.

Dang T, Phung T, Le H, Nguyen T, Nguyen T, Nguyen T . Preimplantation Genetic Testing of Aneuploidy by Next Generation Sequencing: Association of Maternal Age and Chromosomal Abnormalities of Blastocyst. Open Access Maced J Med Sci. 2020; 7(24):4427-4431. PMC: 7084032. DOI: 10.3889/oamjms.2019.875. View

18.

Schoolcraft W, Gardner D, Lane M, Schlenker T, Hamilton F, Meldrum D . Blastocyst culture and transfer: analysis of results and parameters affecting outcome in two in vitro fertilization programs. Fertil Steril. 1999; 72(4):604-9. DOI: 10.1016/s0015-0282(99)00311-8. View

19.

Abhari S, Kawwass J . Pregnancy and Neonatal Outcomes after Transfer of Mosaic Embryos: A Review. J Clin Med. 2021; 10(7). PMC: 8037456. DOI: 10.3390/jcm10071369. View

20.

Gardner D, Lane M, Stevens J, Schlenker T, Schoolcraft W . Blastocyst score affects implantation and pregnancy outcome: towards a single blastocyst transfer. Fertil Steril. 2000; 73(6):1155-8. DOI: 10.1016/s0015-0282(00)00518-5. View