CC BY-NC-ND 4.0 · Geburtshilfe Frauenheilkd 2023; 83(01): 97-105
DOI: 10.1055/a-1876-2231
GebFra Science
Original Article

Zygote Diameter and Total Cytoplasmic Volume as Useful Predictive Tools of Blastocyst Quality

Zygotendurchmesser und zytoplasmatisches Gesamtvolumen sind nützliche Prädiktoren zur Beurteilung der Blastozystenqualität
1   Department of Gynecology, Obstetrics and Reproductive Medicine, Saarland University Hospital, Homburg, Saarland, Germany (Ringgold ID: RIN39072)
,
Nabil Saymé
2   Team Kinderwunsch Hannover, Hannover, Germany
,
Thomas Krebs
2   Team Kinderwunsch Hannover, Hannover, Germany
,
Gudrun Wagenpfeil
3   Institute of Medical Biometry, Epidemiology and Medical Informatics, Saarland University, Homburg, Saar, Germany (Ringgold ID: RIN9379)
,
Simona Baus
1   Department of Gynecology, Obstetrics and Reproductive Medicine, Saarland University Hospital, Homburg, Saarland, Germany (Ringgold ID: RIN39072)
,
Erich-Franz Solomayer
1   Department of Gynecology, Obstetrics and Reproductive Medicine, Saarland University Hospital, Homburg, Saarland, Germany (Ringgold ID: RIN39072)
,
Mariz Kasoha
1   Department of Gynecology, Obstetrics and Reproductive Medicine, Saarland University Hospital, Homburg, Saarland, Germany (Ringgold ID: RIN39072)
› Author Affiliations
 

Abstract

Introduction According to the Embryo Protection Act, the selection of embryos with the greatest potential for successful implantation in Germany must be performed in the pronucleus stage. The main aim of this study was to identify morphokinetic parameters that could serve as noninvasive biomarkers of blastocyst quality in countries with restrictive reproductive medicine laws.

Materials and Methods The sample comprised 191 embryos from 40 patients undergoing antagonist cycles for intracytoplasmic sperm injection. Blastocysts were cultured in an EmbryoScope chamber and video records were validated to determine the post-injection timing of various developmental stages, cleavage stages, and blastocyst formation. The Gardner and Schoolcraft scoring system was used to characterize blastocyst quality.

Results Morphokinetic data showed that the zygote diameter and total cytoplasmic volume were significantly different between good and poor blastocysts quality groups, where zygotes, which formed better blastocyst quality, had smaller diameter and smaller total cytoplasmic volume. Zygotes with more rapid pronuclear disappearance developed in better-quality blastocysts. Differences between good- and poor-quality blastocysts were also observed for late-stage parameters and for the spatial arrangement of blastomere where tetrahedral embryos more frequently forming good-quality blastocyst compare to the non-tetrahedral.

Conclusions The study findings could be used to enhance embryo selection, especially in countries with strict Embryo Law Regulations. Further studies, including those in which the implantation potential and pregnancy rate are considered, are warranted to confirm these preliminary results.


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Zusammenfassung

Einleitung Gemäß dem Embryonenschutzgesetz muss in Deutschland die Selektion von Embryos mit dem größten Potenzial für eine erfolgreiche Einnistung im Vorkernstadium erfolgen. Das Hauptziel dieser Studie war es, die morphokinetischen Parameter zu ermitteln, die in Ländern mit restriktiven reproduktionsmedizinischen Gesetzen als nichtinvasive Biomarker für die Blastozystenqualität dienen könnten.

Material und Methoden Die Untersuchungseinheit bestand aus 191 Embryos von 40 Patientinnen, die sich einem Antagonisten-Protokoll zur Vorbereitung auf intrazytoplasmatische Spermieninjektionen unterzogen. Die gewonnenen Blastozysten wurden in einem EmbryoScope-Inkubator kultiviert, und die Videoaufnahmen wurden validiert, um die Zeitpunkte der verschiedenen Entwicklungsstadien und Spaltungsstadien nach der Injektion und die Blastozystenformation zu bestimmen. Um die Qualität der Blastozysten zu beurteilen, wurde das Gardner/Schoolcraft-Punktesystem verwendet.

Ergebnisse Die morphokinetischen Daten zeigten, dass es signifikante Unterschiede in den Durchmessern der Zygoten und im zytoplasmatischen Gesamtvolumen gab zwischen den qualitativ hochwertigen und den qualitativ minderwertigen Blastozystengruppen. Zygoten, die eine qualitativ hochwertigere Blastozyste bildeten, hatten einen kleineren Durchmesser und ein kleineres zytoplasmatisches Gesamtvolumen. Zygoten mit einem kürzerem Vorkernstadium entwickelten sich zu qualitativ hochwertigeren Blastozysten. Die Unterschiede zwischen qualitativ hochwertigen und qualitativ minderwertigen Blastozysten wurden auch bei Parametern der Spätstadien und bei der räumlichen Anordnung der Blastomere beobachtet, wobei tetrahedral angeordnete Embryos häufiger qualitativ hochwertige Blastozysten bildeten als Embryos ohne tetrahedrale Anordnung.

Schlussfolgerungen Die Ergebnisse dieser Studie könnten zur Verbesserung der Embryonenselektion verwendet werden, besonders in Ländern mit strengen Embryonenschutzgesetzen. Weitere Studien, die auch das Einnistungspotenzial sowie die Schwangerschaftsrate berücksichtigen, sind erforderlich, um diese Ergebnisse zu bestätigen.


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Introduction

Reproductive medicine is among the most rapidly developing fields, in which the selection of the best embryos for transfer remains a key challenge. In the past two decades, the conventional method of embryo selection for transfer has been based on the critical assessment of morphological parameters (i.e., the number of blastomeres, degree of fragmentation, and blastomere size) during embryonic development [1]. Such morphological evaluations are conducted once a day at a set timepoint, as the frequent removal of embryos from the incubator environment may result in undesired temperature and pH changes in the embryo culture dish [2]. The use of time-lapse imaging enables the continuous monitoring of embryo development without displacement from the regulated and stable incubator conditions [3]. Serial time-lapse imaging also enables morphokinetic monitoring (i.e., the evaluation of embryo quality by the monitoring of event timing and development interval durations), adding another aspect to embryo selection and scoring [4].

As noted by Alfarawati et al. [5], most criteria used for the morphological assessment of embryos correlate weakly with in vitro fertilization (IVF) outcomes. Embryo morphology is not always an absolute indicator of implantation potential, especially due to the existence of intra- and inter-observer variability [6]. Abundant data suggest that the precise timing of specific events observed in time-lapse incubators, such as pronuclear formation, early cleavage events, cell cycle intervals, and the synchronicity of cell division, is a more stable and reliable indicator of an embryo’s developmental potential [7].

Although very well-designed algorithms for the selection of embryos based on morphokinetic parameters on day 3 are available [8], their application is not possible in countries such as Germany due to the Embryo Protection Act [9]. What is more, besides the EPA, the “Deutsche Mittelweg” is established as well, where embryo selection can be performed to a slightly limited extent. However, still, cryopreservation of cleavage embryos is not permitted in regular cases in which it would affect IVF outcomes. Due to the limited number of embryos that are allowed to be cultured to the blastocyst stage, as well as clinical effectiveness and cost efficiency concerns, the utilization of morphokinetic parameters for the prediction of IVF outcomes in Germany remains disputable [9] [10] [11] [12].

Based on the aforementioned facts the primary aim of this study was to define morphokinetic parameters that might be useful as noninvasive biomarkers of blastocyst quality in countries with restrictive reproductive medicine laws. In particular, we focused on determining whether the zygote diameter and cytoplasmic volume differ between good- and poor-quality blastocysts.


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Materials and Methods

Ethical approval

This retrospective observational study was conducted with time-lapse imaging data from human embryos during in vitro growth. Ethical approval for the study was obtained from the Ethics Committee of Saarland, Germany (reference no. 146/20).


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Patient selection

The study population consisted of 40 women undergoing intracytoplasmic sperm injection (ICSI) at Team Kinderwunsch Hannover (Hannover, Germany) in January–March 2020. Included patients were aged 25–40 years and had cycles with at least three mature oocytes. The exclusion criteria were anti-Mullerian hormone (AMH) concentration ≤ 1.0 ng/ml, body mass index < 18 kg/m2 or > 30 kg/m2, oocyte retrieval after the performance of other stimulation protocols (natural, short, or mild IVF cycles), and signs of ovarian hyperstimulation. In addition, cases involving the surgical retrieval of sperm were excluded.


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Ovarian stimulation

All patients underwent controlled ovarian stimulation antagonist GnRH protocol treatment where starting doses were based on serum AMH levels, antral follicle counts, or previous responses to ovarian stimulation. Subsequent doses were adjusted according to the monitoring of ovarian responses with serial ultrasound examination and serum estradiol measurement. In each case, a human chorionic gonadotropin (HCG; Ovitrelle; Merck Europe, Darmstadt, Germany) injection was used to trigger final oocyte maturation, and ultrasound-guided ovum retrieval was performed approximately 36 h later.


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ICSI, embryo culture, and embryo assessment

The follicles were aspirated and the oocytes were washed and cultured in medium (GM501; Gynemed, Lensahn, Germany) at 37 °C, 20% O2, and 6% CO2 for 3 h before oocyte denudation using hyaluronidase (conc. 80 IU/ml; Gynemed, Lensahn, Germany). Mature oocytes were fertilized using conventional ICSI procedures and placed immediately after injection in sequential culture medium (Cleavage Medium; COOK, Sydney, Australia) in an EmbryoScope chamber (EmbryoSlide; Vitrolife, Sweden) at 37 °C, 5% O2, and 6% CO2. The culture medium was replaced by performing a half-change with a pre-equilibrated culture medium (Blastocyst Medium; COOK, Sydney, Australia) at 70–72 h after ICSI. On day 5, the blastocysts were classified according to Gardner and Schoolcraft [12]; grades (1–6) were assigned based on the degree of expansion and hatching status. The inner cell mass (ICM) and trophectoderm (TE) quality of fully developed (grade 3–6) blastocysts were graded. For the ICM, grades A, B, and C corresponded to the presence of many tightly packed cells, several loosely grouped cells, and very few cells, respectively. For TE quality, grades A, B, and C corresponded to the presence of many cells forming a cohesive epithelium, a few cells forming a loose epithelium, and very few large cells, respectively. Good blastocyst quality was defined as a grade of at least 3BB (including 3/4/5AA, AB, BA, or BB).


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Time-lapse morphokinetic assessment

Video records were validated to determine the timing of various developmental stages, cleavage stages, and blastocyst formation from the point of ICSI using EmbryoViewer software (Vitrolife). The conduct of ICSI was designated as “time zero” (t0), and all embryo developmental events with the corresponding timing expressed as “hours after ICSI” were evaluated. The following intervals were calculated:

  • tPNf = the time to pronuclear (PN) fading, defined by the first frame in which the embryo is still in the single-cell stage but pronuclei can no longer be visualized;

  • t2 = the time to the first cell cleavage;

  • t3–5 and t8: the times to the first observation of three, four, five, and eight discrete cells, respectively;

  • TM = the time to morula formation, with no obvious cell boundary; and

  • tSB = the time to the beginning of cavity formation.

The duration of the embryo cell cycle (ECC), defined as a round of cell division in which the number of blastomeres doubled, was calculated using time-lapse annotation. We defined the duration of the first embryo cell cycle (ECC1) as the interval between the moment of PN fading and the complete separation of the two blastomeres by individual cell membranes (t2–tPNF). The duration of the second embryo cell cycle (ECC2) was defined as the time of the transition from a two-blastomere to a four-blastomere embryo (t4–t2) and that of the third embryo cell cycle (ECC3) was defined as the time of embryo development from four to eight cells (t8–t4; [Fig. 1]). The duration of the transition from the four-cell to the morula stage (TM–t4) was also calculated. Additionally, the synchronicity of the two blastomere divisions in the second cell cycle (S2) was calculated as the time required for the embryo to progress from the three-cell to the four-cell stage (t4–t3), and the synchronicity of the four blastomere divisions in the third cell cycle (S3) was calculated as the time taken for the embryo to progress from the five-cell to the eight-cell stage (t8–t5; [Fig. 1]).

Zoom Image
Fig. 1 Graphic presentation of embryo development events from sperm injection to the eight-cell stage.

Besides the aforementioned morphokinetics parameters, the zygote diameter, total cytoplasmic volume (TCV) of the zygote, and spatial arrangement of blastomeres in the four-cell stage were also determined. The TCV (n × 104) was calculated 17 h after injection based on two manually drawn perpendicular diameters. The calculation of TCV used in this study has been described before by Paternot et al. [13]. The spatial arrangement of blastomeres was defined as tetrahedral when the cleavage planes were perpendicular and non-tetrahedral when the planes were parallel.


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Data analysis

All variables were analyzed using IBM SPSS software (version 24; IBM Corporation, Armonk, NY, USA). The Mann–Whitney U test was used to compare median values between groups. Continuous nonparametric data are reported as medians and ranges. The chi-square test was used to compare categorical data. Univariate and multiple binary logistic regression analyses were performed with blastocyst quality serving as the dependent variable and the TCV and tPNf serving as independent variables. Receiver operating characteristic analyses were used to calculate areas under the curve (AUCs) characterizing the diagnostic performance of TCV and tPNf. Differences with p ≤ 0.05 were considered to be significant. In addition, since this is a retrospective study, we calculated effect sizes for the main study outcomes to account for study power.


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Results

The average age of the patients included in the study was 34.5 ± 4.5 years. In total, 287 oocytes were retrieved. After the exclusion of 23 immature oocytes and 73 oocytes that were not fertilized normally (PN ≠ 2) or did not complete the first division, the sample for the blastocyst development analysis comprised 191 embryos. The cultured embryos were divided into good- and poor-quality blastocyst groups. In addition, the blastocyst formation potential was estimated. The timing of developmental endpoints was compared between embryos that reached the blastocyst stage and those that failed.

Zygote morphokinetic parameters

Of the 191 fertilized oocytes, 113 (59.1%) reached the blastocyst stage; 48 (42.5%) of these blastocysts were of good quality. The zygote diameter was significantly different between good quality and poor-quality blastocyst group where the zygotes with smaller diameter created better quality blastocyst (109.2 [105.6–111.6] vs. 112.1 [105.6–115.2] µm, p < 0.0001). The TCV was also significantly different between the zygotes that developed into a good-quality blastocyst and those that did not. Further analysis indicated that zygotes with smaller TCV formed better blastocyst quality (68.28 [61.65–78.80] × 104 vs. 74.55 [61.65–83.86] × 104 µm3, p < 0.0001; [Fig. 2]). Univariate logistic regression demonstrated that the TCV significantly predicted blastocyst quality (odds ratio [OR] 0.84, 95% confidence interval [Cl] 0.78–0.92, p < 0.0001). Predictive strength was quantified using the area under the curve (AUC) of the receiver operating characteristic (ROC), where the area under the ROC curve was AUC 0.718 ([Fig. 3]).On average, the tPNf was shorter for embryos that reached the blastocyst stage than for those that failed (22.00 [17–29] vs. 23.00 [18–56] h, p < 0.01; [Table 1]). Moreover, good-quality blastocysts were developed from embryos with shorter time frame of tPNf (21.00 [17–28] vs. 23.00 [18–29] h, p < 0.0001; [Fig. 4]). Univariate logistic regression demonstrated that the tPNf significantly predicted blastocyst quality (OR 074, 95% Cl 0.61–0.88, p < 0.001, AUC 0.699; [Fig. 5]).A multiple binary logistic regression analysis was performed with the parameters that were significant in the univariate logistic regression analysis ([Table 2]).

Zoom Image
Fig. 2 The difference in TCV of zygote between poor (n = 65) and good (n = 48) blastocyst quality groups (74.55 × 104 µm3 [61.65 × 104 −83.86 × 104] vs 68.28 × 104 µm3 [61.65 × 104 −78.80 × 104] retrospectively; p < 0.0001). Results are presented as median (range). p is calculated using the Mann–Whitney U test.
Zoom Image
Fig. 3 The ROC curve for blastocyst quality prediction by the TCV parameter.

Table 1 Values of morphokinetic parameters for embryos that achieved or did not achieve the blastocysts stage. Differences between groups were calculated for each parameter using the Mann–Whitney U test.

Parameter

Blastocyst

Non-blastocyst

P-value

* Values are median time in hours. Results are present as median (range). p ≤ 0.05 were considered statistically significant.

Diameter (µm)

110.37 (105.6–115.2)

110.35 (104.9–116.3)

0.79

TCV (µm3)

69.12 × 104 (60.44 × 104 −82.36 × 104)

70.83 × 104 (61.65 × 104 −83.86 × 104)

0.49

tPNf*

22.00 (17–29)

23.00 (18–56)

0.004

ECC 1(t2–tPNf)*

3.00 (1–8)

3.00 (0–17)

0.004

ECC 2(t4–t2)*

13.00 (1–41)

12.00 (0–29)

0.93

ECC 3(t8–t4)*

26.00 (7–55)

26.00 (10–70)

0.84

S2 (t4–t3)*

1.00 (0–41)

2.00 (0–16)

0.44

S3 (t8–t5)*

15.00 (1–53)

14.00 (0–62)

0.33

TM*

89.00 (69–109)

91.50 (75–114)

0.66

t4–TM*

51.00 (31–73)

54.00 (31–73)

0.13

Zoom Image
Fig. 4 The difference in pronuclear fading time between poor (n = 65) and good (n = 48) blastocyst quality groups (23.00 h [18.00–29.00] vs 21.00 h [17.00–28.00], retrospectively; p < 0.0001). Results are presented as median (range). p is calculated using the Mann–Whitney U test.
Zoom Image
Fig. 5 The ROC curve for blastocyst quality prediction by the tPNf parameter.

Table 2 Multiple binary logistic regression analyses in relation to the blastocyst quality.

Parameter

P-value

Odds Ratio

95% confidence interval

TCV

0.0001

0.857

0.787

0.933

tPNf

0.006

0.769

0.638

0.928


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Cleavage embryo morphokinetic parameters

The duration of the first cell cycle division (p < 0.01), but not the timing of the second or third cell division, synchronicity, or late-stage cleavage patterns, differed significantly between embryos that formed blastocysts and those that did not ([Table 3]). The ECC duration and late-stage cleavage patterns (TM, TSB, and TM–t4) differed significantly according to blastocyst quality ([Table 3]). Out of the eleven evaluated parameters, only synchronicity of the second cell cycle did not statistically differ between good- and poor-quality blastocysts.

Table 3 Timing of embryo morphokinetic events analyzed from good and poor-quality blastocysts group. Differences between groups were calculated for each parameter using the Mann–Whitney U test.

Parameter

Good-quality blastocyst

Poor-quality blastocyst

P-value

* Values are median time in hours. Results are presented as median (range). p ≤ 0.05 were considered statistically significant.

Diameter (µm)

109.2 (105.6–111,6)

112.1 (105.6–115.2)

0.001

TCV (µm3)

68.28 × 104 (61.65 × 104 −78.80 × 104)

74.55 × 104 (61.65 × 104 −83.86 × 104)

< 0.001

tPNf*

21.00 (17–28)

23.00 (18–29)

0.004

ECC 1(t2–tPNf)*

2.00 (1–4)

3.00 (1–8)

< 0.001

ECC 2 (t4–t2)*

13.00 (10–26)

12.00 (0–41)

0.011

ECC 3 (t8–t4)*

23.00 (14–41)

29.00 (7–55)

0.003

S2 (t4–t3)*

1.00 (0–13)

1.00 (0–41)

0.60

S 3 (t8–t5)*

8.00 (1–27)

18.00 (0–53)

< 0.0001

TM*

85.00 (70–106)

91.00 (69–109)

< 0.0001

t4–TM*

48.00 (31–69)

53.00 (31–73)

0.004

tSB*

94.50 (84–118)

101.00 (77–121)

0.003

Overall, 82.0% (64/78) of embryos with the tetrahedral arrangement reached the blastocyst stage, compared to 43.3% (49/113) of embryos with the non-tetrahedral arrangement (p < 0.0001). In addition, tetrahedral embryos more frequently formed good-quality blastocysts compare to the non-tetrahedral (85.4% [41/48] vs. 14.6% [7/48], p < 0.0001; [Fig. 6]).

Zoom Image
Fig. 6 Blastocysts quality according to the tetrahedral arrangement of the embryo. Numbers at the bottom of columns refer to the percent of blastocysts in each category. p is calculated using the chi-square test.

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Discussion

The purposes of this study were to assess relationships between embryo morphokinetic parameters and blastocyst quality using time-lapse data, and to determine whether the zygote diameter and TCV are useful for the noninvasive prediction of blastocyst quality.

Morphokinetic parameters differed between embryos that formed blastocysts and those with limited developmental potential, and according to blastocyst quality.

Previously reported time-lapse imaging data enabled us to define several morphokinetic variables (e.g., the timing of cell division and cleavage synchronicity) as markers of embryo quality and implantation potential [2] [4] [6] [14]. However, current morphokinetic selection criteria focus mainly on unique embryo cohorts (i.e., those in the four- and eight-cell stages) [14] [15] [16] [17] and may not be applicable in all clinics, especially in countries with strict reproductive medicine laws. For these reasons, we focused on zygote morphokinetics.

Zygotes with smaller diameters created better-quality blastocysts in this study. Although several studies have evaluated the relationship between oocyte diameter and embryo quality [18] [19], insufficient information is available for human zygotes, despite the accessibility of data acquired during assisted fertilization. To our knowledge, this study is the first to associate the zygote diameter with blastocyst formation and quality. Our findings, applied in combination with existing PN scoring practices [20] [21], might aid embryo selection in Germany. Zygotes with smaller TCVs showed less fragmentation during development, resulting in better blastocyst quality, in this study. Hinidas et al. [22] and Hinidas and Ziebe [23] first reported on the use of sequences of digital images obtained at certain intervals to calculate the degree of fragmentation by comparing the reduction in cytoplasmic volume from the zygote stage to the combined volume of individual blastomeres. Their findings confirmed that the TCV was a predictive biomarker of embryo quality [22] [23]. TCVs on days 2 and 3 have been associated significantly with the pregnancy rate [13] [24], and the TCV on day 1 is considered to be important for the evaluation of the implantation potential [25].

Differences in study designs, aims, and sample sizes prevent comparison of our TCV findings with those reported previously. As the TCV ranges in our good- and poor-quality blastocyst groups were similar, we performed additional tests to confirm the impact of the TCV on blastocyst quality. To our knowledge, this study is among the first to associate the zygote TCV with blastocyst formation and quality.

The tPNf was shorter for embryos that developed into good-quality blastocysts in this study, in line with previously published data [2] [6] [26] [27] [28]. A few studies conducted with sizable datasets have confirmed that the choice of culture medium does not affect PN fading [29] [30] [31]. What is more, obtained results about the impact of tPNf on blastocyst quality were in line with previously published results [27] [28].

More embryos with tetrahedral than with non-tetrahedral arrangements formed good-quality blastocysts in this study, in line with previous reports [32] [33]. What is more, compared to our research, Paternot et al. [34] went one step further and reported that the live birth rate was significantly higher with the transfer of tetrahedral embryos than with non-tetrahedral embryo transfer (33% vs. 16%).

The ECC1, ECC2, and ECC3 durations differed significantly between our good- and poor-quality blastocyst groups. The first cell cycle division occurred more rapidly for good-quality blastocysts, in line with previous findings [2] [10]. Most embryos divide during a narrow time range in the ECC1, and this range expands in ECC2 and ECC3, reflecting a difference in the cleavage rhythm between good- and poor-quality blastocyst populations, likely due to the onset of embryo gene expression [35]. Only a few studies have involved the analysis of ECC2 and ECC3 impacts on blastocyst quality, and their results are in line with our findings [36] [37].

In contrast to previous findings [2] [10] [36] [37] [38], S2 did not differ between good- and poor-quality blastocysts in this study. One reason for this difference might be the fact that synchronicity of the second cell cycle in patients with endometriosis displayed significant irregularities [39]. Although compared to our research, the study design was different, Fréour et al. [40] noted that smoking affects early embryo morphokinetics. Differences in incubation conditions and patient populations may also have contributed to this inconsistency.

Much research has confirmed the importance of the morphogenetic observation of embryos in the late cleavage stages. In our study, late-stage cleavage patterns (TM, TSB, and TM–t4) differed between groups, in line with previously published findings [2] [7] [10] [35] [36] [37] [38].

Based on the aforementioned facts, we believe that the findings presented in this research, applied in combination with previously established guidelines [41] [42], might provide a better diagnostic workup for infertility in Germany.

A limitation of this study was the lack of information on implantation and pregnancy outcomes. These aspects should be considered in future research.


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Conclusion

The findings of this study confirm our knowledge of the major events occurring in embryo development and the hypothesis that zygote diameter and TCV patterns are associated with blastocyst quality. They support the inclusion of early morphokinetic parameters in embryo evaluation.


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Financial Support and Sponsorship

This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.


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Conflict of Interest

The authors declare that they have no conflict of interest.


Korrespondenzadresse

Marija Kljajic
Department of Gynecology, Obstetrics and Reproductive Medicine, Saarland University Hospital
Kirrberger Str. 100
66421 Homburg, Saarland
Germany   

Publication History

Received: 21 November 2021

Accepted after revision: 13 June 2022

Article published online:
21 July 2022

© 2022. The Author(s). This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial-License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. (https://creativecommons.org/licenses/by-nc-nd/4.0/).

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Zoom Image
Fig. 1 Graphic presentation of embryo development events from sperm injection to the eight-cell stage.
Zoom Image
Fig. 2 The difference in TCV of zygote between poor (n = 65) and good (n = 48) blastocyst quality groups (74.55 × 104 µm3 [61.65 × 104 −83.86 × 104] vs 68.28 × 104 µm3 [61.65 × 104 −78.80 × 104] retrospectively; p < 0.0001). Results are presented as median (range). p is calculated using the Mann–Whitney U test.
Zoom Image
Fig. 3 The ROC curve for blastocyst quality prediction by the TCV parameter.
Zoom Image
Fig. 4 The difference in pronuclear fading time between poor (n = 65) and good (n = 48) blastocyst quality groups (23.00 h [18.00–29.00] vs 21.00 h [17.00–28.00], retrospectively; p < 0.0001). Results are presented as median (range). p is calculated using the Mann–Whitney U test.
Zoom Image
Fig. 5 The ROC curve for blastocyst quality prediction by the tPNf parameter.
Zoom Image
Fig. 6 Blastocysts quality according to the tetrahedral arrangement of the embryo. Numbers at the bottom of columns refer to the percent of blastocysts in each category. p is calculated using the chi-square test.