OBJECTIVE: To study the differences in the cleavage time between chromosomally normal and abnormal embryos and to elaborate an algorithm to increase the probability of noninvasively selecting chromosomally normal embryos. DESIGN: Retrospective cohort study. SETTING: University-affiliated infertility center. PATIENT(S): Preimplantation genetic screening patients (n = 125; n = 77 with ET), including cases of repeated implantation failure or recurrent miscarriage. A total of 504 embryos were analyzed. INTERVENTION(S): Embryo culture within a time-lapse system. MAIN OUTCOME MEASURE(S): Kinetic variables included the time to 2 (t2), 3 (t3), 4 (t4), and 5 (t5) cells as well as the length of the second (cc2 = t3 - t2) and third (cc3 = t5 - t3) cell cycle, the synchrony in the division from 2 to 4 cells (s2 = t4 - t3), and the interval t5 - t2. Implantation and clinical pregnancy rates were also analyzed. RESULT(S): A logistic regression analysis identified t5 - t2 (odds ratio [OR] = 2.853; 95% confidence interval [CI], 1.763-4.616), followed by cc3 (OR = 2.095; 95% CI, 1.356-3.238) as the most relevant variables related to normal chromosomal content. On the basis of these results, an algorithm for embryo selection is proposed to classify embryos from A to D. Each category exhibited significant differences in the percentage of normal embryos (A, 35.9%; B, 26.4%; C, 12.1%; D, 9.8%). CONCLUSION(S): Chromosomally normal and abnormal embryos have different kinetic behavior. On the basis of these differences, the proposed algorithm serves as a tool to classify embryos and to increase the probability of noninvasively selecting normal embryos.
OBJECTIVE: To study the differences in the cleavage time between chromosomally normal and abnormal embryos and to elaborate an algorithm to increase the probability of noninvasively selecting chromosomally normal embryos. DESIGN: Retrospective cohort study. SETTING: University-affiliated infertility center. PATIENT(S): Preimplantation genetic screening patients (n = 125; n = 77 with ET), including cases of repeated implantation failure or recurrent miscarriage. A total of 504 embryos were analyzed. INTERVENTION(S): Embryo culture within a time-lapse system. MAIN OUTCOME MEASURE(S): Kinetic variables included the time to 2 (t2), 3 (t3), 4 (t4), and 5 (t5) cells as well as the length of the second (cc2 = t3 - t2) and third (cc3 = t5 - t3) cell cycle, the synchrony in the division from 2 to 4 cells (s2 = t4 - t3), and the interval t5 - t2. Implantation and clinical pregnancy rates were also analyzed. RESULT(S): A logistic regression analysis identified t5 - t2 (odds ratio [OR] = 2.853; 95% confidence interval [CI], 1.763-4.616), followed by cc3 (OR = 2.095; 95% CI, 1.356-3.238) as the most relevant variables related to normal chromosomal content. On the basis of these results, an algorithm for embryo selection is proposed to classify embryos from A to D. Each category exhibited significant differences in the percentage of normal embryos (A, 35.9%; B, 26.4%; C, 12.1%; D, 9.8%). CONCLUSION(S): Chromosomally normal and abnormal embryos have different kinetic behavior. On the basis of these differences, the proposed algorithm serves as a tool to classify embryos and to increase the probability of noninvasively selecting normal embryos.
Authors: C Scarica; D Cimadomo; L Dovere; A Giancani; M Stoppa; A Capalbo; F M Ubaldi; L Rienzi; R Canipari Journal: J Assist Reprod Genet Date: 2019-02-01 Impact factor: 3.412
Authors: Antonio Capalbo; Valeria Romanelli; Danilo Cimadomo; Laura Girardi; Marta Stoppa; Lisa Dovere; Domenico Dell'Edera; Filippo Maria Ubaldi; Laura Rienzi Journal: J Assist Reprod Genet Date: 2016-07-16 Impact factor: 3.412
Authors: N L Sandi-Monroy; S Musanovic; D Zhu; K Eibner; N Reeka; J Koglin; K Bundschu; F Gagsteiger Journal: J Assist Reprod Genet Date: 2020-02-06 Impact factor: 3.412
Authors: Oleksii O Barash; Kristen A Ivani; Susan P Willman; Evan M Rosenbluth; Deborah S Wachs; Mary D Hinckley; Sara Pittenger Reid; Louis N Weckstein Journal: J Assist Reprod Genet Date: 2017-05-30 Impact factor: 3.412