Improving Deep Learning-Based Algorithm for Ploidy Status Prediction Through Combined U-NET Blastocyst Segmentation and Sequential Time-Lapse Blastocysts Images.

Background: Several approaches have been proposed to optimize the construction of an artificial intelligence-based model for assessing ploidy status. These encompass the investigation of algorithms, refining image segmentation techniques, and discerning essential patterns throughout embryonic development. The purpose of the current study was to evaluate the effectiveness of using U-NET architecture for embryo segmentation and time-lapse embryo image sequence extraction, three and ten hr before biopsy to improve model accuracy for prediction of embryonic ploidy status. Methods: A total of 1.020 time-lapse videos of blastocysts with known ploidy status were used to construct a convolutional neural network (CNN)-based model for ploidy detection. Sequential images of each blastocyst were extracted from the time-lapse videos over a period of three and ten hr prior to the biopsy, generating 31.642 and 99.324 blastocyst images, respectively. U-NET architecture was applied for blastocyst image segmentation before its implementation in CNN-based model development. Results: The accuracy of ploidy prediction model without applying the U-NET segmented sequential embryo images was 0.59 and 0.63 over a period of three and ten hr before biopsy, respectively. Improved model accuracy of 0.61 and 0.66 was achieved, respectively with the implementation of U-NET architecture for embryo segmentation on the current model. Extracting blastocyst images over a 10 hr period yields higher accuracy compared to a three-hr extraction period prior to biopsy. Conclusion: Combined implementation of U-NET architecture for blastocyst image segmentation and the sequential compilation of ten hr of time-lapse blastocyst images could yield a CNN-based model with improved accuracy in predicting ploidy status.

Non-invasive pre-implantation genetic testing's reliability for aneuploidy using Cell-free DNA in embryo culture media.

OBJECTIVE: The presence of embryonic cell-free DNA (cfDNA) in spent embryo culture media (SECM) may offer valuable advantages for non-invasive testing of embryo ploidy or genetic characteristics compared to trophectoderm (TE) biopsy. This study aimed to assess the diagnostic potential of SECM cfDNA as a non-invasive sample for chromosomal copy number testing in blastocysts within the clinical setting of in-vitro fertilization. METHOD: This prospective observational study collected 28 SECM cfDNA samples matched with TE biopsy samples from 21 infertile couples who underwent IVF-PGT-A cycles. SECM samples were obtained from blastocysts that were cultured for approximately 5/6 days in an uninterrupted time-lapse incubator. Both sets of samples were collected during the biopsy procedure. The Variseq Illumina platform was utilized for ploidy measurement. The study evaluated the informativity and interpretability of SECM cfDNA, concordance of general ploidy status, and sex chromosome agreement between the two sample types. RESULTS: SECM cfDNA had a high informativity rate (100 %) after double amplification procedure, with a result interpretability of 93 %. Two out of the 28 SECM cfDNA samples were uninterpretable and regarded as overall noise samples. The diagnostic potential of SECM cfDNA, when compared to TE biopsy the standard reference, was relatively low at 50 %. Maternal DNA contamination remains the major obstacle that hinders the widespread clinical adoption of SECM cfDNA in the routine practice of pre-implantation genetic testing for aneuploidy within IVF settings. CONCLUSION: A significant modification must be implemented in the IVF laboratory to minimize DNA contamination and this necessitates suggesting adjustments to oocyte denudation, embryo culture media preparation, and sample collection procedures.

Ten years of in vitro fertilization in Indonesia: Access to infertility care in a developing country.

OBJECTIVE: This research was conducted to assess access to assisted reproductive technologies (ART) and the current status of the in vitro fertilization (IVF) program that have been implemented in Indonesia over the last 10 years. METHODS: We established a retrospective cohort study and descriptive analysis of the current state of access to infertility care in Indonesia. The data were collected from all IVF centers, clinics, and hospitals in Indonesia from 2011 to 2020, including the number of IVF clinics, total ART cycles, retrieved fresh and frozen embryos, average age of IVF patients, IVF pregnancy rate, and causes of infertility. RESULTS: The number of reported fertility clinics in Indonesia has increased from 14 clinics in 2011 to 41 clinics by 2020. As many as 69 569 ART cycles were conducted over the past 10 years, of which 51 892 cycles used fresh embryos and 17 677 cycles used frozen embryos. The leading cause of consecutive infertility diagnosis was male infertility. Nearly half of the women who underwent IVF procedures (48.9%) were under 35 years old. The pregnancy rate outcome of women who underwent IVF ranged from 24.6% to 37.3%. CONCLUSION: Developments in ART in Indonesia have led to improvements in the ART cycles performed throughout the 10 year period. The identification of key areas that require improvement can provide an opportunity to enhance access to infertility care.

Embryo ploidy status classification through computer-assisted morphology assessment.

BACKGROUND: Preimplantation genetic testing for aneuploidy has been proven to be effective in determining the embryo's chromosomal or ploidy status. The test requires a biopsy of embryonic cells on day 3, 5, or 6 from which complete information on the chromosomes would be obtained. The main drawbacks of preimplantation genetic testing for aneuploidy include its relatively invasive approach and the lack of research studies on the long-term effects of preimplantation genetic testing for aneuploidy. OBJECTIVE: Computer-assisted predictive modeling through machine learning and deep learning algorithms has been proposed to minimize the use of invasive preimplantation genetic testing for aneuploidy. The capability to predict morphologic characteristics of embryo ploidy status creates a meaningful support system for decision-making before further treatment. STUDY DESIGN: Image processing is a component in developing a predictive model specialized in image classification through which a model is able to differentiate images based on unique features. Image processing is obtained through image augmentation to capture segmented embryos and perform feature extraction. Furthermore, multiple machine learning and deep learning algorithms were used to create prediction-based modeling, and all of the prediction models undergo similar model performance assessments to determine the best model prediction algorithm. RESULTS: An efficient artificial intelligence model that can predict embryo ploidy status was developed using image processing through a histogram of oriented gradient and then followed by principal component analysis. The gradient boosting algorithm showed an advantage against other algorithms and yielded an accuracy of 0.74, an aneuploid precision of 0.83, and an aneuploid predictive value (recall) of 0.84. CONCLUSION: This research study proved that machine-assisted technology perceives the embryo differently than human observation and determined that further research on in vitro fertilization is needed. The study finding serves as a basis for developing a better computer-assisted prediction model.

The origin and possible mechanism of embryonic cell-free DNA release in spent embryo culture media: a review.

The presence of cell-free DNA in spent embryo culture media (SECM) has unveiled its possible utilization for embryonic ploidy determination, opening new frontiers for the development of a non-invasive pre-implantation genetic screening technique. While a growing number of studies have shown a high concordance between genetic screening using cell-free DNA (cfDNA) and trophectoderm (TE), the mechanism pertaining to the release of cfDNA in SECM is largely unknown. This review aims to evaluate research evidence on the origin and possible mechanisms for the liberations of embryonic DNA in SECM, including findings on the self-correction abilities of embryos which might contribute to the presence of cfDNA. Several databases including EMBASE, PUBMED, and SCOPUS were used to retrieve original articles, reviews, and opinion papers. The keywords used for the search were related to the origins and release mechanism of cfDNA. cfDNA in SECM originates from embryonic cells and, at some levels, non-embryonic cells such as maternal DNA and exogenous foreign DNA. The apoptotic pathway has been demonstrated to eliminate aneuploid cells in developing mosaic embryos which might culminate to the release of cfDNA in SECM. Nonetheless, there is a recognized need for exploring other pathways such as cross-talk molecules called extracellular vesicles (EVs) made of small, round bi-layer membranes. During in vitro development, embryos physiologically and actively expel EVs containing not only protein and microRNA but also embryonic DNA, hence, potentially releasing cfDNA of embryonic origin into SECM through EVs.

Factors affecting the distribution of serum anti-müllerian hormone levels among infertile Asian women: a multi-nation, multi-centre, and multi-ethnicity prospective cohort study.

STUDY QUESTION: How do age, ethnicity, and other characteristics affect serum anti-mullerian hormone (AMH) levels in Asian women undergoing fertility treatment? SUMMARY ANSWER: Age, ethnicity, obesity (BMI ≥ 30 kg/m2), and polycystic ovarian syndrome (PCOS) significantly impacted serum AMH levels, with the rate of decrease accelerating as age increased; a concentration of 4.0 ng/ml was the optimal cut-off for diagnosis of PCOS. WHAT IS KNOWN ALREADY: There are significant differences in ovarian reserve among women from different races and ethnicities, and Asian women often have poorer reproductive outcomes during assisted reproductive treatment cycles. STUDY DESIGN, SIZE, DURATION: A population-based multi-nation, multi-centre, multi-ethnicity prospective cohort study of 4613 women was conducted from January 2020 to May 2021. Infertile women of 20-43 years of age were enrolled. The exclusion criteria included: age <20 or >43, non-Asian ethnicity, and missing critical data. PARTICIPANTS/MATERIALS, SETTING, METHODS: Participants were Asian women of Chinese, Japanese, Korean, Thai, Vietnamese, Malay, Indian, and Indonesian ethnicities from 12 IVF centres across Asia. These women were all naïve to ovarian stimulation cycles and attended IVF centres for fertility assessment. The AMH measurement was performed using an AMH automated assay on a clinically validated platform. MAIN RESULTS AND THE ROLE OF CHANCE: A total of 4556 infertile Asian women were included in the final analyses. The mean ± SD for serum AMH concentrations (ng/ml) across specific age groups were: overall, 3.44 ± 2.93; age <30, 4.58 ± 3.16; 30-31, 4.23 ± 3.23; 32-33, 3.90 ± 3.06; 34-35, 3.21 ± 2.65; 36-37, 2.74 ± 2.44; 38-39, 2.30 ± 1.91; 40 and above, 1.67 ± 2.00. The rate of AMH decrease was ∼0.13 ng/ml/year in patients aged 25-33 and 0.31 ng/ml/year in women aged 33-43. The highest rates of PCOS were found in Indians (18.6%), Malays (18.9%), and Vietnamese (17.7%). Age (P < 0.001), ethnicity (P < 0.001), obesity (P = 0.007), PCOS (P < 0.001), and a history of endometrioma cystectomy (P = 0.01) were significantly associated with serum AMH values. Smoking status, pretreatment with GnRH agonist (GnRHa) or the oral contraceptive pill (OCP), freezing-thawing of blood samples, and sampling on Day 2 to Day 5 of the menstrual cycle or randomly did not appear to affect serum AMH levels. An AMH concentration of 4.0 ng/ml was the optimal cut-off for PCOS diagnosis with a sensitivity of 71.7% and specificity of 75.8% (AUC = 0.81, CI 95%: 0.79-0.83; P < 0.001). LIMITATIONS, REASONS FOR CAUTION: The incidence of PCOS was supposedly high in this cohort as some IVF clinics were tertiary referral centres for managing specific fertility issues encountered by women with PCOS. Treatment with GnRHa or OCP before AMH testing was regionally and ethnically confined, mostly in Hong Kong SAR and Japan. Moreover, this reference for serum AMH value is limited to Asian women of the ethnicities examined and may not apply to other ethnicities not included in the study. WIDER IMPLICATIONS OF THE FINDINGS: This is the first study to collate and construct age-specific reference ranges for serum AMH levels using the same bioassay on Asian women of different ethnicities. The findings of this investigation can assist clinicians to counsel and prognosticate about Asian women's ovarian reserve and reproductive potential, thus providing better strategies for personalized fertility interventions. STUDY FUNDING/COMPETING INTEREST(S): This study was technically supported by Ferring Pharmaceuticals and received no specific grant from any funding agency. All authors have no competing interests to disclose. TRIAL REGISTRATION NUMBER: NCT04203355.

Massive DVT from the proximal IVC to the pedal vein: Our approach using aspiration mechanical thrombectomy and open surgery thrombectomy.

Deep venous thrombosis might present in an acute condition requiring early thrombus removal. Several endovascular and surgical approaches are available with a short treatment time and minimal complications compared to pharmacotherapies. However, due to a lack of evidence, these are not the first treatment choice for deep vein thrombosis. Our case report showed a successful multimodality treatment for an acute-on-chronic massive deep vein thrombosis from the inferior vena cava to the pedal vein. A 47-year-old with chief complaints of cold, significant swelling, and severe pain in her left leg was diagnosed with deep vein thrombosis through Doppler ultrasound and contrast-enhanced computed tomography. The patient received aspiration mechanical thrombectomy with the "kissing catheter" technique, adjunctive stent, percutaneous transluminal angioplasty, and open surgical thrombectomy by Fogarty catheter without recurrence and complication.

Genetic algorithm-assisted machine learning for clinical pregnancy prediction in in vitro fertilization.

BACKGROUND: A clinical pregnancy prediction model was developed by implementing machine learning technology that uses a combination of static images and medical data to calculate the outcome of an in vitro fertilization cycle. OBJECTIVE: To provide a system that can accurately and sufficiently assist with decision making that is critical to in vitro fertilization cycles, primarily embryo selection. STUDY DESIGN: Historical medical data, which consist of clinical information and a complete transferred embryo image dataset, of 697 patients who underwent unique in vitro fertilization were collected. Various techniques of machine learning were used, namely decision tree, random forest, and gradient boosting; each technique used the same data configuration for performance comparison and was subsequently optimized using genetic algorithm. RESULTS: A prediction model with a peak accuracy of approximately 65% was achieved. Significant differences in the performances of the 3 selected algorithms were apparent. Nonetheless, additional metric measurements, such as receiver operating characteristic, area under the receiver operating characteristic curve score, accuracy, and loss, suggested that the gradient boosting model performed the best in predicting clinical pregnancy. CONCLUSION: This study served as a stepping stone toward the application of in vitro fertilization prediction models that use machine learning techniques. However, additional validation steps are required to boost the model's performance for its implementation in the clinical setting.

Ophthalmic artery Doppler for pre-eclampsia prediction at the first trimester: a Bayesian survival-time model.

OBJECTIVE: To develop a Bayesian survival-time model for the prediction of pre-eclampsia (PE) at the first trimester using a combination of established biomarkers including maternal characteristics and history, mean arterial pressure (MAP), uterine artery Doppler pulsatility index (UtA-PI), and Placental Growth Factor (PlGF)) with an ophthalmic artery Doppler peak ratio (PR) analysis. METHODS: The receiving operator curve (ROC) analysis was used to determine the area under the curve (AUC), detection rate (DR), and positive screening cut-off value of the model in predicting the occurrence of early-onset PE (< 34 weeks' gestation) and preterm PE (< 37 weeks' gestation). RESULTS: Of the 946 eligible participants, 71 (7.49%) subjects were affected by PE. The incidences of early-onset and preterm PE were 1% and 2.2%, respectively. At a 10% false-positive rate, using the high-risk cut-off 1:49, with AUC 0.981 and 95%CI 0.965-0.998, this model had an 100% of DR in predicting early-onset PE. The DR of this model in predicting preterm PE is 71% when using 1:13 as the cut-off, with AUC 0.919 and 95%CI 0.875-0.963. CONCLUSION: Combination ophthalmic artery Doppler PR with the previously established biomarkers could improve the accuracy of early and preterm PE prediction at the first trimester screening.

A Homogeneous Ensemble of Robust Pre-defined Neural Network Enables Automated Annotation of Human Embryo Morphokinetics.

Background: The purpose of the current study was to reduce the risk of human bias in assessing embryos by automatically annotating embryonic development based on their morphological changes at specified time-points with convolutional neural network (CNN) and artificial intelligence (AI). Methods: Time-lapse videos of embryo development were manually annotated by the embryologist and extracted for use as a supervised dataset, where the data were split into 14 unique classifications based on morphological differences. A compilation of homogeneous pre-trained CNN models obtained via TensorFlow Hub was tested with various hyperparameters on a controlled environment using transfer learning to create a new model. Subsequently, the performances of the AI models in correctly annotating embryo morphologies within the 14 designated classifications were compared with a collection of AI models with different built-in configurations so as to derive a model with the highest accuracy. Results: Eventually, an AI model with a specific configuration and an accuracy score of 67.68% was obtained, capable of predicting the embryo developmental stages (t1, t2, t3, t4, t5, t6, t7, t8, t9+, tCompaction, tM, tSB, tB, tEB). Conclusion: Currently, the technology and research of artificial intelligence and machine learning in the medical field have significantly and continuingly progressed in an effort to develop computer-assisted technology which could potentially increase the efficiency and accuracy of medical personnel's performance. Nonetheless, building AI models with larger data is required to properly increase AI model reliability.

Birth of spinal muscular atrophy unaffected baby from genetically at-risk parents following a pre-implantation genetic screening: A case report.

Background: Spinal muscular atrophy (SMA) is characterized by the homozygous deletion of the survival motor neuron-1 gene. Pre-implantation genetic testing for monogenic diseases through in-vitrofertilization program was developed to provide a reliable genetic diagnostic method for SMA. Case presentation: The couple who was confirmed as carriers of SMA visited the Morula IVF Clinic, Jakarta, Indenesia seeking for an in-vitro fertilization expert opinion in relation to the pre-implantation genetic testing for SMA. Utilizing polymerase chain reaction-restriction fragment length polymorphism, we have successfully screened for unaffected embryos that were characterized by a normal presence of the survival motor neuron-1 exon 7-8 and survival motor neuron-2 exon 7-8. The frozen embryo was subsequently transferred and a healthy unaffected female baby was born with undetected deletion of the survival motor neuron-1 gene. Conclusion: This successful embryo pre-implantation screening case could potentially accommodate the demands of genetically at-risk couples who are apprehensive about conceiving a child who might inherit monogenic disorders such as SMA.

Role of three-dimensional Doppler ultrasonography and leukemia inhibitory factor from endometrial secretion in predicting endometrial receptivity in IVF treatment: a pilot study.

PURPOSE: This pilot study aimed to evaluate the potential synergistic role of three-dimensional power Doppler angiography ultrasound and the expression of Leukemia Inhibitory Factor (LIF) protein in predicting the endometrial receptivity of fresh In-Vitro Fertilization (IVF) cycles. MATERIALS AND METHODS: This prognostic cohort study involved 29 good prognosis women who underwent fresh IVF cycles with fresh blastocysts transfer. Serial measurements of sub-endometrial parameters including vascularity index (VI), flow index (FI), and vascularization flow index (VFI) were conducted consecutively via power Doppler angiography on the day of oocyte maturation trigger, oocyte retrieval, and blastocyst transfer. Aspiration of endometrial secretion was performed on the day of embryo transfer. RESULTS: The mean index of VI and VFI on the trigger and oocyte retrieval day and also LIF protein concentration at the window of implantation were significantly higher in clinically pregnant women than that of the non-pregnant women (p < 0.05). The area under the curve (AUC) of VI and VFI was shown to have a powerful predictive value to forecast receptive endometrium on either trigger day (0.788 and 0.813, respectively) or oocyte retrieval day (0.813 and 0.818). Likewise, LIF concentration on the day of embryo transfer was adequate to become a predictor for endometrial receptivity (AUC 0.874). A combination of the VI and VFI on the trigger day and LIF concentration at specific cut-off values (VI > 5.381, VFI > 1.483, LIF 703.5 pg/mL) produced an algorithm with high AUC (0.881) and high specificity (94.4%) for an adequate prediction of non-receptive endometrium. CONCLUSION: VI and VFI index assessed on maturation trigger day and the expression of LIF protein concentration at the window of implantation provided sufficient information to predict endometrial receptivity. A large randomized control trial is needed to validate these findings.

A comparative, observational study evaluating dosing characteristics and ovarian response using the recombinant human follicle-stimulating hormone pen injector with small-dose dial in assisted reproductive technologies treatment in Asia: IMPROVE study.

BACKGROUND: Ovarian stimulation during medically assisted reproduction treatment should be individualized to optimize outcomes and reduce complications. This study assessed whether use of the recombinant human follicle-stimulating hormone (r-hFSH) pen injector allowing small 12.5 IU dose increments resulted in lower r-hFSH dose per oocyte retrieved in a subgroup of patients at risk of OHSS, compared with r-hFSH injection devices allowing only 37.5 IU increments. METHODS: This multicenter, comparative, observational study evaluated patients from a prospective (study group) and historical (control group) cohort. The study group enrolled 1783 patients using the redesigned r-hFSH pen injector (GONAL-f®, Merck Healthcare KGaA, Darmstadt, Germany) from a prospective phase IV, non-interventional, open-label study, conducted in Korea, Vietnam, Indonesia, and China. The control group consisted of 1419 patients from a historical study using r-hFSH devices allowing 37.5 IU increments. In the study group, 397 patients were considered at risk of OHSS; this information was unavailable for the control group, so biomarkers and patient characteristics were used to match 123 patients from the study group and control group. Each center adhered to standard practice; starting dose and intra-cycle dose adjustments were allowed at any point. The primary endpoint, amount of r-hFSH (IU) administered per oocyte retrieved, was assessed in matched patients only. Additional outcomes and safety were assessed in the overall populations. RESULTS: Baseline characteristics were comparable between groups. Mean (SD) total dose of r-hFSH administered per oocyte retrieved in patients at risk of OHSS, was significantly lower in the study group compared with the control group (132.5 [85.2] vs. 332.7 [371.6] IU, P < 0.0001, n = 123). Implantation rate, clinical pregnancy rate, and live birth rates in the overall study and control groups were 30.0 vs. 20.6%, 50.3 vs. 40.7%, and 43.8 vs. 34.0%, respectively. OHSS incidence was significantly lower in the study group compared with the control group (27/1783 [1.5%] vs. 57/1419 [4.0%] patients, P < 0.0001). AEs were reported by 5.0% of patients in the study group. CONCLUSIONS: A significantly lower r-hFSH dose per oocyte retrieved and lower OHSS incidence were observed in patients using the redesigned injector compared with patients using other injection devices.

Effect of varicocele repair on sperm retrieval rate and testicular histopathological patterns in men with nonobstructive azoospermia.

Varicocele adversely affects semen parameters. However, the effect of varicocele repair on the sperm retrieval rate and testicular histopathological patterns in men with nonobstructive azoospermia has not been widely reported. We retrospectively assessed the sperm retrieval rates and testicular histopathological patterns in men with nonobstructive azoospermia who were referred to the Urology Clinic in Dr. Cipto Mangunkusumo Hospital (Jakarta, Indonesia) and Bunda General Hospital (Jakarta, Indonesia) between January 2009 and December 2019. We compared patients who had undergone a surgical sperm retrieval procedure for assisted reproductive technology no earlier than three months after varicocele repair and those who had not undergone varicocele repair. The study included 104 patients (age range: 26-54 years), 42 of whom had undergone varicocele repair before the sperm retrieval procedure and 62 who had not. Motile spermatozoa were found in 29 (69.1%) and 17 (27.4%) patients who had undergone varicocele repair before the sperm retrieval procedure and those who had not undergone the repair, respectively (relative risk: 2.51; 95% confidence interval: 1.60-3.96; P < 0.001). A predicted probabilities graph showed consistently higher sperm retrieval rates for patients with varicocele repair, regardless of their follicle-stimulating hormone levels. Patients who underwent varicocele repair showed higher testicular histopathological patterns (P = 0.001). In conclusion, men with nonobstructive azoospermia and clinical varicocele who underwent varicocele repair before the sperm retrieval procedure had higher sperm retrieval rates compared to those who did not undergo varicocele repair.

Review of computer vision application in in vitro fertilization: the application of deep learning-based computer vision technology in the world of IVF.

In vitro fertilization has been regarded as a forefront solution in treating infertility for over four decades, yet its effectiveness has remained relatively low. This could be attributed to the lack of advancements for the method of observing and selecting the most viable embryos for implantation. The conventional morphological assessment of embryos exhibits inevitable drawbacks which include time- and effort-consuming, and imminent risks of bias associated with subjective assessments performed by individual embryologists. A combination of these disadvantages, undeterred by the introduction of the time-lapse incubator technology, has been considered as a prominent contributor to the less preferable success rate of IVF cycles. Nonetheless, a recent surge of AI-based solutions for tasks automation in IVF has been observed. An AI-powered assistant could improve the efficiency of performing certain tasks in addition to offering accurate algorithms that behave as baselines to minimize the subjectivity of the decision-making process. Through a comprehensive review, we have discovered multiple approaches of implementing deep learning technology, each with varying degrees of success, for constructing the automated systems in IVF which could evaluate and even annotate the developmental stages of an embryo.

Successful Targeted Testicular Sperm Extraction Using Microsurgical Technique (microTESE) Following Fine Needle Aspiration (FNA) Mapping in a Non-Obstructive Azoospermia (NOA) Patient: A Case Report.

BACKGROUND: Management for male infertility can be difficult for some cases. Surgical intervention has long been thought as the last resort to help married couples to conceive. The current guideline recommends testicular sperm extraction with micro-surgery technique (microTESE) in severe cases of male infertility. However, the success rate still varies. Thus, a new strategy was needed to further increase the sperm retrieval success rate. CASE PRESENTATION: A 39-year-old male with a history of failed sperm extraction, non-obstructive azoospermia (NOA) and Y-chromosomal microdeletion came to the fertility center to undergo sperm retrieval. Fine needle aspiration (FNA) Mapping was performed prior to microTESE to increase the accuracy of sperm retrieval. After further examination with laser assisted immotile sperm selection (LAISS), five spermatozoa were found. CONCLUSION: The combination of FNA Mapping and microTESE increases the chance of a successful sperm extraction.

Morphokinetics of embryos after IMSI versus ICSI in couples with sub-optimal sperm quality: A time-lapse study.

An investigation was conducted to determine the influence of two sperm selection modalities, IMSI and ICSI, on the morphokinetics, dynamic development and ploidy status of embryos derived from males with sub-optimal sperm profiles during IVF program. A total of 209 PGTA-tested top-quality blastocysts (IMSI = 129, ICSI = 80) from 84 couples (IMSI = 51, ICSI = 33) were assessed retrospectively. This study found that both IMSI and ICSI yielded comparable embryo morphokinetics, except for the T7, TEB and CC3 parameters (p < 0.05). A significant lower incidence of multinucleation was observed in the IMSI group when compared to the ICSI group (48.8% vs. 71.3%, p = 0.002), while other parameters of embryo development such as direct cleavage, distorted cytoplasmic movement, reverse cleavage and vacuole(s) appearance did not differ (p > 0.05). No differences were noticed in the proportion of generating chromosomally euploid embryos (44.2% vs. 51.3%, p = 0.394, respectively, for IMSI and ICSI). The implementation of IMSI or ICSI in couples with sub-optimal sperm profiles resulted in embryos with comparatively similar morphokinetics. Furthermore, the incidence of multinucleation at the two- to four-cell stage was lower following the practice of IMSI, although the method did not improve the proportion of gaining euploid embryos.

Robotic myomectomy for a non-pregnant reproductive age woman with severe acute urinary retention: A case report.

Urinary retention in non-pregnant reproductive age women is a very rare condition. Hereby, we reported a rare case of acute urinary retention in a non-pregnant reproductive-age woman with hydronephrosis and hydroureter due to a large fibroid. The fibroid had resulted in constant pressure to the urethral sphincter, which causes urinary retention. Robotic myomectomy was performed after insertion of ureteric catheters. To our knowledge, this is the first case report of a robotic surgery being utilised to manage acute urinary retention in a non-pregnant individual due to large fibroid.

Embryo Banking with Mild Ovarian Stimulation for IVF: An Alternative Strategy for Poor Prognosis Patients.

BACKGROUND: Management of Poor Ovarian Reserve (POR) in in vitro fertilization remains a difficult challenge. The purpose of this retrospective cohort study was to compare the effectiveness of embryo banking strategy over a cohort of several mild stimulation cycles (Embryo Banking Strategy for Poor Prognosis/Embargo) to conventional full-dose antagonist protocol for IVF. METHODS: Subjects identified as having poor ovarian response (POR) based on the Bologna criteria were recruited. In total, there were 113 subjects included in the analysis. Fifty-three subjects underwent embryo banking procedure (Embargo) protocol, and sixty subjects underwent the conventional full-dose antagonist protocol for IVF. The Chi-square test was used to compare the clinical pregnancy rate, miscarriage rate as well as live birth rate, while the Mann-Whitney U test was utilized to analyze the cost per clinical pregnancy between the two groups. A p<0.05 was considered statistically significant. RESULTS: The two studied groups showed similar outcomes regarding clinical pregnancy rate, miscarriage rate, as well as live birth rate (p=0.966, p=0.310, and p= 0.469, respectively). Cost analysis of subjects who underwent mild ovarian stimulation followed by Embargo revealed the high cost of the protocol compared to conventional full-dose antagonist protocol ($10.507±6.181 vs. $9.533±2.530, p=0.002). CONCLUSION: The clinical outcomes of both protocols were comparable. Embargo procedure was not efficient in improving the overall clinical outcomes in patients who were expected poor ovarian responders as the protocol costed more comparing with conventional full-dose antagonist protocol. A larger prospective randomized control trial is needed to evaluate this finding.