Prediction of IVF survival
With the continuous progress of science and technology, the application of IVF technology is more and more extensive, but its success rate is not 100%. In order to improve the success rate of IVF, scientists continue to study the survival prediction methods of IVF. The following four aspects will be described respectively from embryo evaluation, PGS/PGD, in vitro fertilization, and patient age.
Embryo evaluation
Embryo evaluation is a key step in IVF survival prediction. Traditional embryo evaluation relies on optical microscopy to observe the appearance, cell number and development of embryos. However, this method faces problems such as strong subjectivity and complex operation. In order to improve the accuracy of embryo assessment, some advanced technologies have been introduced, such as time thawing embryo assessment technology and genomics assessment technology.
Time thawed embryo evaluation technology is to predict the survival rate by monitoring the development of embryos at different time points. Research shows that the survival rate of embryos with rapid early development is higher, so the survival rate can be predicted by evaluating the development of embryos at a specific time point.
Genomics assessment technology is to predict the survival rate by detecting the genome information of embryos. This technology uses genomics methods to analyze information such as genomic variation and genetic diseases of embryos, so as to assess their survival rate. At present, some hospitals have applied this technology and achieved good prediction results.
PGS/PGD
Gene screening technology (PGS) and single gene disease diagnosis technology (PGD) are also widely used in IVF survival prediction. PGS can screen embryos for chromosome number and structural abnormalities, thus predicting survival rate. PGD is used to screen known single gene diseases, such as Down syndrome.
PGS/PGD technology can help select healthy embryos for transplantation, thus improving the survival rate of IVF. Some studies have shown that the survival rate of embryos screened by PGS/PGD is higher than that of embryos not screened.
In vitro fertilization
The survival rate of IVF is affected by IVF technology. The traditional in vitro fertilization technology is to fertilize the egg and sperm in a culture dish, and then transfer the fertilized egg to the uterus. However, this method has problems such as low fertilization rate and poor embryonic development.
In order to improve the survival rate, researchers have developed some improved in vitro fertilization techniques. For example, egg compatibility detection technology can select the most suitable sperm for fertilization by detecting egg compatibility, thus improving the fertilization rate. In addition, the improvement of culture medium and the application of auxiliary technology can also improve embryonic development and survival rate.
Patient's age
Patient age is an important factor in predicting IVF survival. Research shows that the growth of female age is negatively related to the survival rate of IVF. The aging of women will lead to the decline of egg quality, which will affect the development and survival of embryos. Therefore, young women are more likely to obtain IVF with high survival rate.
In addition, the living habits and physical health of patients will also affect the survival rate of IVF. For example, bad eating habits, smoking and drinking habits will increase the survival risk of IVF.
Summary
IVF survival prediction methods improve the survival rate from embryo assessment, PGS/PGD, in vitro fertilization and patient age.
The accuracy of embryo assessment can be improved by time thawing embryo assessment and genomics assessment.
PGS/PGD technology can help select healthy embryos for transplantation.
The improvement of IVF technology can improve the fertilization rate and embryo development.
The age of the patient is an important factor in predicting survival.
In conclusion, the survival rate of IVF can be improved through the comprehensive application of various methods.
