Reproductive Medicine
Marzieh Mehrafza; Azadeh Raoufi; Elmira Hosseinzadeh; Gholam Reza Pourseify; Tahereh Zare Yousefi; Termeh Shakery; Amirhossein Tamimi
Volume 7, Issue 6 , September and October 2022, , Pages 518-523
Abstract
Background & Objective: Autologous platelet-rich plasma consists of concentrated autologous plasma and several cytokines and growth factors released by activated platelets in injury and inflammation. There is an increasing trend towards the effectiveness of intrauterine PRP infusion in repeated implantation ...
Read More
Background & Objective: Autologous platelet-rich plasma consists of concentrated autologous plasma and several cytokines and growth factors released by activated platelets in injury and inflammation. There is an increasing trend towards the effectiveness of intrauterine PRP infusion in repeated implantation failure patients. The aim of the present study was to describe the impact of intrauterine platelet-rich plasma infusion on the live birth rate in patients with repeated implantation failure.Materials & Methods: The present retrospective uncontrolled study was performed on 96 patients with more than two failed intracytoplasmic sperm injection cycles at Mehr medical institute between 2019 and 2021. Forty-eight hours before embryo transfer, patients received 1 mL lympho-platelet-rich plasma through an intrauterine insemination catheter. Patients were evaluated for pregnancy rate. Endometrial preparation for frozen-thawed embryo transfer was performed.Results: Participants' basal and stimulation characteristics, including gonadotropin dosage, the total number of oocytes, metaphase II oocytes and embryos, endometrial thickness, embryo transfer, quality of transferred embryos, and blastocyst transfer rate were evaluated. A total of 33 and 27 chemical (34.3%) and clinical pregnancies (28.1%) were achieved. Twenty (20.8%) and nineteen (20%) cycles resulted in ongoing pregnancies or live births, respectively. Conclusion: The current study suggests that platelet-rich plasma infusion 48 hours before frozen-thawed embryo transfer may be a good option for repeated implantation failure patients and results in 20% live birth.
Mahdieh Kafaee Ghaeini; Mohammad Reza Amin-Naseri; Marzieh Aghahoseini
Volume 3, Issue 4 , November and December 2018, , Pages 149-155
Abstract
Background & Objective: Studies have shown that despite the numerous research carried out regarding infertility treatment, there is still a long way to treat this disease satisfactorily. Spending a lot of time and money on infertility treatments proves the necessity of designing a model which could ...
Read More
Background & Objective: Studies have shown that despite the numerous research carried out regarding infertility treatment, there is still a long way to treat this disease satisfactorily. Spending a lot of time and money on infertility treatments proves the necessity of designing a model which could predict the result of treatment methods with an acceptable accuracy; a model that could help physicians to get rid of trial and error for treatment methods which should step by step be applied on an infertile couple. Intracytoplasmic Sperm Injection (ICSI) is one of the assisted reproductive techniques. Statistics have indicated that the probability of pregnancy occurrence is only about 30% using this method. In this paper, a model which could predict the result of (ICSI) was presented using the decision tree and support vector machine methods.
Materials & Methods: The applied data were collected in seven months from December 2012 to June 2013 by analyzing 251 treatment cycles in Omid Fertility Clinic. Input variables of the model were parameters like couple’s medical records, hormonal tests, the cause of infertility, and the like. The output variable was the occurrence or nonoccurrence of the clinical pregnancy (the pregnancy resulting in the formation of the fetal heart). One of the innovations of this study was that the input variables of the model were only preoperative, while in previous studies, having information about some of the surgery stages, such as quality of the egg and the like, was required to anticipate the result of the surgery.
Results: The obtained accuracy using the decision tree and support vector machine methods were 70.3% and 75.7%, respectively.
Conclusion: The results of the current study demonstrated that the support vector machine method had a better performance compared to the decision tree method. Presented model predicts the occurrence or nonoccurrence of a clinical pregnancy follows (ICSI), with a precision of 75.7%.
