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Embryo Banking Calculator

The top question parents from planning IVF to grow their family later in life, or for genetic testing, is "How many cycles will it take to reach our goal family size?". We built a tool to help. Learn more


How many cycles?

Maternal age at the time of egg retrieval is the main factor in determining whether an egg will result in a healthy child — for older mothers, more egg retrieval cycles will be necessary.While maternal age is the main factor affecting fertility, there are many other considerations specific to your situation that will influence this number and should be discussed with a fertility provider.

Either embryos or eggs can be frozen.

Cycle 1 — Embryo creation
Average eggs: 17

What about genetic screening?

Genetic screening identifies embryos with genetic problems which would result in pregnancy complications or an unhealthy child. Orchid's whole-genome embryo screening (PGT-WGS) can identify many of these conditions. Parents who are known to carry genetic conditions may also wish to perform targeted screening on their embryos through Preimplantation Genetic Testing for Monogenic disorders (PGT-M) to select embryos without those genetic variants.

Panel screening for monogenic conditions, microdeletions and microduplications
About 4% of embryos are expected to screen positive for PGT-WGS panel screening, microduplications, or microdeletions.
Model the effect of using Preimplantation Genetic Testing for Monogenic disorders (PGT-M) to screen for one or more conditions.

The more conditions PGT-M is performed for, the more embryos will be positive.

Some families may have a preference for transferring embryos of one sex for family balancing. Sex balancing will reduce the number of embryos available for transfer.


How many children?

On average, a family could have up to 2.1 children using the embryos created in these cycles.

IVF outcomes can vary significantly between families. Some families will achieve more successful pregnancies than the average, and others will have fewer. It's often more helpful to know the odds of achieving different target family sizes with these cycles:

77%
chance of at least 1 child
55%
chance of at least 2 children
35%
chance of at least 3 children
20%
chance of at least 4 children

Important Limitations

  • This model is a starting point for an IVF plan. Discuss your goals with a physician before making family planning decisions.
  • Estimates are based on PGT/fertility preservation patients. Patients with infertility will experience higher rates of embryo loss.
  • These are average statistics based on a combination of cohort studies. Your results will vary based on your IVF center, physician, and cycle plan.
  • No number of IVF cycles can guarantee a healthy child.
17121064422155242< 11< 1Cycle 1averageeggsViableeggsFertilizedDay 5embryoNormalchromosomesPGT-WGSscreenedPregnancyLivebirthsImmatureeggsFertilizationfailureArrestedembryosAbnormalchromosomesPGT-WGSvariantsdetectedTransferfailurePregnancylossRetrievalChildren

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Model Assumptions and Limitations

Important Limitations

  • These rates of embryo loss are based on patients who performed IVF for PGT-M or fertility preservation. Patients who performed IVF due to infertility are likely to experience higher rates of embryo loss at one or more stages of the IVF flow.

  • Limited data exists for the success rates of embryo transfers when the maternal age at transfer is above the early 40s. Success rates of pregnancy will likely be lower for older mothers, regardless of the health of the transferred embryo.

  • These outcome statistics are based on a combination of cohort studies. Your results will vary based on your IVF center, physician, and cycle plan.

  • This model assumes that PGT-M is performed to screening out embryos with known genetic variants. However, in many cases parents may choose to transfer embryos positive for PGT-M findings.

  • This model assumes that eggs are frozen using modern vitrification techniques. Eggs which were frozen using older slow-freezing techniques will have a higher loss rate when thawed.

  • This model is a starting point for an IVF plan. Discuss your goals with a physician before making family planning decisions.

  • Regardless of the number of retrievals performed or the parental ages, no number of IVF cycles can guarantee a healthy child.

How the Model Works

Learn more about embryo banking and how it works for families seeking genetic testing.

This calculator uses data from IVF cohort studies to model the family size a couple may achieve across one or more IVF cycles. For each cycle, we simulate the IVF process from egg retrieval through fertilization, genetic testing, and pregnancy outcomes. The calculator runs thousands of simulations with your inputs to estimate the probability of different family sizes.

This is a simplified model that treats each cycle independently based on maternal age at the time of that cycle. In reality, a woman with diminished ovarian reserve in the first cycle is likely to see the same in subsequent cycles, but this correlation between cycles is not captured here.

Each simulation accounts for maternal age-specific rates of aneuploidy, fertilization success, and pregnancy outcomes. Below are the numbers used to compute the dropoff rate at various stages of the IVF process and their sources.

Have feedback about this calculator? We'd love to hear it. Let us know at genetics@orchidhealth.com

Expected follicle counts

The first step of IVF is retrieving eggs from the ovaries. The number of eggs that can be retrieved typically decreases with age - women under 35 average about 21 eggs per cycle, while women over 42 typically retrieve fewer than 10 eggs. There is significant variation between patients, with some retrieving many more or fewer eggs than average. This decline reflects the natural decrease in ovarian reserve that occurs with age.

This model uses findings from Maslow et al. (2020) which analyzed 1 or 2 cycles of planned oocyte cryopreservation and found that the number of eggs retrieved typically decreases with age.

Model assumptions

Maternal ageRateNotes
<3521.37 ± 12.40Higher follicle count in younger women
35-3717.12 ± 11.02Moderate decline in retrieval count
38-4014.24 ± 9.83Reduced ovarian reserve starts affecting yield
41-4210.49 ± 9.34Significant decline in oocyte retrieval
>429.47 ± 7.00Low egg yield per cycle, requiring multiple retrievals
Maslow BL, Guarnaccia MM, Ramirez L, Klein JU. Likelihood of achieving a 50%, 60%, or 70% estimated live birth rate threshold with 1 or 2 cycles of planned oocyte cryopreservation. J Assist Reprod Genet. 2020 Jul;37(7):1637-1643. doi: 10.1007/s10815-020-01791-w. Epub 2020 May 16. PMID: 32418136; PMCID: PMC7376799.

Immature eggs

Not all retrieved eggs are mature enough to be used in IVF. The proportion of immature eggs increases slightly with age, from about 28% in women under 35 to about 35% in women over 42. This means that older women not only retrieve fewer eggs, but a higher percentage of those eggs may be immature.

This model uses findings from Maslow et al. (2020) which analyzed 1 or 2 cycles of planned oocyte cryopreservation and found that the proportion of immature eggs increases slightly with age.

Model assumptions

Maternal ageRateNotes
<3527.9%27.87% of retrieved eggs are immature
35-3729.2%29.17% of retrieved eggs are immature
38-4031.5%31.48% of retrieved eggs are immature
41-4230.9%30.90% of retrieved eggs are immature
>4235.4%35.40% of retrieved eggs are immature
Maslow BL, Guarnaccia MM, Ramirez L, Klein JU. Likelihood of achieving a 50%, 60%, or 70% estimated live birth rate threshold with 1 or 2 cycles of planned oocyte cryopreservation. J Assist Reprod Genet. 2020 Jul;37(7):1637-1643. doi: 10.1007/s10815-020-01791-w. Epub 2020 May 16. PMID: 32418136; PMCID: PMC7376799.

Egg thaw loss

When eggs are frozen for future use, some may not survive the thawing process. Modern freezing techniques (vitrification) have greatly improved survival rates, with about 90% of eggs successfully surviving the thaw. This rate appears to be consistent regardless of the woman's age at the time of freezing.

This model uses findings from Torra-Massana et al. (2023) which analyzed 5,362 oocyte donation cycles and found that the survival rate of frozen eggs is about 90% using modern vitrification techniques.

Model assumptions

Maternal ageRateNotes
all10.0%10% loss rate with modern vitrification, corresponding to 90% survival
Torra-Massana M, Miguel-Escalada I, Vassena R, Rodríguez A. Long-term storage of vitrified oocytes does not affect pregnancy and live birth rates: analysis of 5362 oocyte donation cycles. Reprod Biomed Online. 2023;47(3):103228. doi:10.1016/j.rbmo.2023.04.019

Fertilization failures with ICSI

Using ICSI (where sperm is directly injected into the egg), about 84% of mature eggs successfully fertilize. Interestingly, research shows this rate stays fairly consistent regardless of maternal age, suggesting that age-related fertility decline is primarily due to other factors like egg quality and quantity rather than fertilization ability.

This model uses findings from Hanson et al. (2020) which analyzed 8,308 IVF cycles and found that the fertilization rate with ICSI is about 84.4% regardless of the age of the mother.

Model assumptions

Maternal ageRateNotes
all15.6%84.4% fertilization rate with ICSI; 15.6% failure per mature egg.
B. Hanson, J. Kim, A. Tiegs, E. Osman, K. Hong, R.T. Scott, The relationship between age and rates of abnormal fertilization following intracytoplasmic sperm injection (ICSI), Reproductive BioMedicine Online, Volume 41, Supplement 1, 2020, Page e8, ISSN 1472-6483, https://doi.org/10.1016/j.rbmo.2020.08.030.

Arrested embryos

After fertilization, embryos need to develop for 5 days to reach the blastocyst stage. Some embryos will stop developing (arrest) before day 5. This becomes more common with age - about 34% of embryos arrest in women under 35, increasing to over 60% in women over 42. This reflects the declining quality of eggs with age.

This model uses findings from McCoy et al. (2023) which analyzed over a thousand IVF cycles and found that the day 5 arrest rate increases with age.

Model assumptions

Maternal ageRateNotes
<3534.0%Base arrest rate
35-3743.0%Moderate increase
38-4045.0%Further increase
41-4250.0%Significant increase
>4261.0%Highest arrest rate
McCoy, R.C., Summers, M.C., McCollin, A. et al. Meiotic and mitotic aneuploidies drive arrest of in vitro fertilized human preimplantation embryos. Genome Med 15, 77 (2023). https://doi.org/10.1186/s13073-023-01231-1

Aneuploidy

During IVF, embryos are tested for chromosomal abnormalities (aneuploidy). Embryos with large chromosomal abnormalities very unlikely to implant and develop into a healthy pregnancy.

This model uses findings from Franasiak et al. (2014) which analyzed 15,169 trophectoderm biopsies from 3,301 IVF cycles, showing clear correlation between maternal age and aneuploidy rates. Aneuoploidy is one of the main reasons why IVF success rates decline with maternal age

Model assumptions

Maternal ageRateNotes
2624.6%Based on 175 biopsies
2727.1%Based on 240 biopsies
2822.7%Based on 335 biopsies
2920.7%Based on 585 biopsies
3023.2%Based on 802 biopsies
3131.0%Based on 862 biopsies
3231.1%Based on 1,023 biopsies
3331.0%Based on 1,324 biopsies
3431.3%Based on 1,156 biopsies
3534.5%Based on 1,222 biopsies
3635.5%Based on 1,284 biopsies
3742.6%Based on 1,153 biopsies
3847.9%Based on 1,123 biopsies
3952.9%Based on 1,008 biopsies
4058.2%Based on 953 biopsies
4168.9%Based on 750 biopsies
4275.1%Based on 453 biopsies
43+85.0%Conservative estimate for age 43 and above
Franasiak JM, Forman EJ, Hong KH, et al. 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. 2014;101(3):656-663.e1. doi:10.1016/j.fertnstert.2013.11.004

PGT-WGS monogenic findings

Preimplantation genetic testing with whole genome sequencing (PGT-WGS) screening looks for single-gene disorders and other genetic issues beyond just chromosomal abnormalities.

This model uses analysis from Katz and Slotnick (2024) which compared Orchid's PGT-WGS screening panels to studies of rare monogenic disease in the overall population and estimated a roughly 3.7% rate of monogenic findings.

Model assumptions

Maternal ageRateNotes
all3.7%While increased maternal and paternal age are associated with increased rates of de novo mutations, the rate of detection remains 3-4%.
Katz, S.M., Slotnick, R.D., 2024. Estimating the single-gene disorder detection rate for PGT-WGS. Online. https://guides.orchidhealth.com/post/estimating-the-single-gene-disorder-detection-rate-for-pgt-wgs

PGT-M inheritance patterns

When screening embryos for specific genetic conditions (PGT-M), the proportion of embryos affected depends on the inheritance pattern and which parent(s) carry the variant. For autosomal conditions (chromosomes 1-22), the rates follow Mendelian inheritance. For X-linked conditions, the rates depend on both inheritance pattern and embryo sex.

For X-linked conditions, males and female embryos are affected differently because males have only one X chromosome. For example, when the sperm source has an X-linked dominant variant, all female embryos will inherit his affected X chromosome, while male embryos receive his Y chromosome and are unaffected. This leads to some situations where the sex ratio of the embryos after screening is not 50% male and 50% female.

Model assumptions

Gene inheritanceTypeVariant present inMale affected %Female affected %
RecessiveAutosomalEgg sourceN/AN/A
Sperm sourceN/AN/A
Both parents25%25%
Sex-linkedSex-linked
(transfer female embryos with the variant)
Egg source50%0%
Sperm sourceN/AN/A
Both parents50%50%
DominantAutosomalEgg source50%50%
Sperm source50%50%
Both parents75%75%
Sex-linkedSex-linked
(do not transfer female embryos with the variant)
Egg source50%50%
Sperm source0%100%
Both parents50%100%

Note: N/A indicates scenarios where embryos cannot be affected with only one parent carrying a recessive variant.

Sex balancing

Some parents who already have children choose to perform sex balancing to complete their family, only considering either male or female embryos for transfer. This is done to achieve a more balanced family composition.

Sex balancing reduces the number of available embryos by approximately 50%, as embryos of the non-selected sex are not considered for transfer. This can significantly impact the number of transfer attempts possible from a given number of embryo creation cycles.

Model assumptions

Maternal ageRateNotes
Male only50.0%50% of embryos discarded (female embryos)
Female only50.0%50% of embryos discarded (male embryos)

Implantation failure

Even chromosomally normal embryos don't always successfully implant in the uterus.

This model uses findings from Chang et al, 2016 which indicate that euploid embryo transfers show increasing failure rates with age, even for chromosomally normal embryos.

Model assumptions

Maternal ageRateNotes
<3531.0%31% failure rate in younger patients (Baseline, Pirtea et al.)
35-3739.0%39% failure rate showing slight age-related decline
38-4040.5%40% failure rate indicating continued decline
41-4243.9%44% failure rate showing significant age impact
>4246.3%46% failure rate at advanced maternal age
Chang J, Boulet SL, Jeng G, Flowers L, Kissin DM. Outcomes of in vitro fertilization with preimplantation genetic diagnosis: an analysis of the United States Assisted Reproductive Technology Surveillance Data, 2011-2012. Fertil Steril 2016;105:394–400 and Pirtea P, De Ziegler D, Tao X, et al. Rate of true recurrent implantation failure is low: results of three successive frozen euploid single embryo transfers. Fertil Steril. 2021;115(1):45-53. doi:10.1016/j.fertnstert.2020.07.002

Pregnancy loss

For embryos that successfully implant and have been screened as chromosomally normal (euploid), the risk of pregnancy loss is about 10%. This rate stays fairly consistent across age groups, suggesting that once a euploid embryo implants, maternal age has less impact on the chance of successful pregnancy.

This model uses results from Munné et al 2019 which found a roughly consistent 9.9% miscarriage rate on embryos determined to be euploid via PGT-A testing across all age cohorts.

Model assumptions

Maternal ageRateNotes
all9.9%9.9% pregnancy loss rate across all age groups for PGT-A tested embryos
Munné S, Kaplan B, Frattarelli JL, et al. Preimplantation genetic testing for aneuploidy versus morphology as selection criteria for single frozen-thawed embryo transfer in good-prognosis patients: a multicenter randomized clinical trial. Fertil Steril. 2019;112(6):1071-1079.e7. doi:10.1016/j.fertnstert.2019.07.1346

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