BlastAssist: a deep learning pipeline to measure interpretable features of human embryos.

STUDY QUESTION: Can the BlastAssist deep learning pipeline perform comparably to or outperform human experts and embryologists at measuring interpretable, clinically relevant features of human embryos in IVF? SUMMARY ANSWER: The BlastAssist pipeline can measure a comprehensive set of interpretable features of human embryos and either outperform or perform comparably to embryologists and human experts in measuring these features. WHAT IS KNOWN ALREADY: Some studies have applied deep learning and developed 'black-box' algorithms to predict embryo viability directly from microscope images and videos but these lack interpretability and generalizability. Other studies have developed deep learning networks to measure individual features of embryos but fail to conduct careful comparisons to embryologists' performance, which are fundamental to demonstrate the network's effectiveness. STUDY DESIGN, SIZE, DURATION: We applied the BlastAssist pipeline to 67 043 973 images (32 939 embryos) recorded in the IVF lab from 2012 to 2017 in Tel Aviv Sourasky Medical Center. We first compared the pipeline measurements of individual images/embryos to manual measurements by human experts for sets of features, including: (i) fertilization status (n = 207 embryos), (ii) cell symmetry (n = 109 embryos), (iii) degree of fragmentation (n = 6664 images), and (iv) developmental timing (n = 21 036 images). We then conducted detailed comparisons between pipeline outputs and annotations made by embryologists during routine treatments for features, including: (i) fertilization status (n = 18 922 embryos), (ii) pronuclei (PN) fade time (n = 13 781 embryos), (iii) degree of fragmentation on Day 2 (n = 11 582 embryos), and (iv) time of blastulation (n = 3266 embryos). In addition, we compared the pipeline outputs to the implantation results of 723 single embryo transfer (SET) cycles, and to the live birth results of 3421 embryos transferred in 1801 cycles. PARTICIPANTS/MATERIALS, SETTING, METHODS: In addition to EmbryoScope™ image data, manual embryo grading and annotations, and electronic health record (EHR) data on treatment outcomes were also included. We integrated the deep learning networks we developed for individual features to construct the BlastAssist pipeline. Pearson's χ2 test was used to evaluate the statistical independence of individual features and implantation success. Bayesian statistics was used to evaluate the association of the probability of an embryo resulting in live birth to BlastAssist inputs. MAIN RESULTS AND THE ROLE OF CHANCE: The BlastAssist pipeline integrates five deep learning networks and measures comprehensive, interpretable, and quantitative features in clinical IVF. The pipeline performs similarly or better than manual measurements. For fertilization status, the network performs with very good parameters of specificity and sensitivity (area under the receiver operating characteristics (AUROC) 0.84-0.94). For symmetry score, the pipeline performs comparably to the human expert at both 2-cell (r = 0.71 ± 0.06) and 4-cell stages (r = 0.77 ± 0.07). For degree of fragmentation, the pipeline (acc = 69.4%) slightly under-performs compared to human experts (acc = 73.8%). For developmental timing, the pipeline (acc = 90.0%) performs similarly to human experts (acc = 91.4%). There is also strong agreement between pipeline outputs and annotations made by embryologists during routine treatments. For fertilization status, the pipeline and embryologists strongly agree (acc = 79.6%), and there is strong correlation between the two measurements (r = 0.683). For degree of fragmentation, the pipeline and embryologists mostly agree (acc = 55.4%), and there is also strong correlation between the two measurements (r = 0.648). For both PN fade time (r = 0.787) and time of blastulation (r = 0.887), there's strong correlation between the pipeline and embryologists. For SET cycles, 2-cell time (P < 0.01) and 2-cell symmetry (P < 0.03) are significantly correlated with implantation success rate, while other features showed correlations with implantation success without statistical significance. In addition, 2-cell time (P < 5 × 10-11), PN fade time (P < 5 × 10-10), degree of fragmentation on Day 3 (P < 5 × 10-4), and 2-cell symmetry (P < 5 × 10-3) showed statistically significant correlation with the probability of the transferred embryo resulting in live birth. LIMITATIONS, REASONS FOR CAUTION: We have not tested the BlastAssist pipeline on data from other clinics or other time-lapse microscopy (TLM) systems. The association study we conducted with live birth results do not take into account confounding variables, which will be necessary to construct an embryo selection algorithm. Randomized controlled trials (RCT) will be necessary to determine whether the pipeline can improve success rates in clinical IVF. WIDER IMPLICATIONS OF THE FINDINGS: BlastAssist provides a comprehensive and holistic means of evaluating human embryos. Instead of using a black-box algorithm, BlastAssist outputs meaningful measurements of embryos that can be interpreted and corroborated by embryologists, which is crucial in clinical decision making. Furthermore, the unprecedentedly large dataset generated by BlastAssist measurements can be used as a powerful resource for further research in human embryology and IVF. STUDY FUNDING/COMPETING INTEREST(S): This work was supported by Harvard Quantitative Biology Initiative, the NSF-Simons Center for Mathematical and Statistical Analysis of Biology at Harvard (award number 1764269), the National Institute of Heath (award number R01HD104969), the Perelson Fund, and the Sagol fund for embryos and stem cells as part of the Sagol Network. The authors declare no competing interests. TRIAL REGISTRATION NUMBER: Not applicable.

A clinical predictive model for live birth in women of advanced age undergoing PGT cycles.

PURPOSE: The trend of delaying childbirth has resulted in a growing number of advanced-aged women who are opting for preimplantation genetic testing (PGT) to screen for monogenic diseases or structural chromosomal rearrangements (PGT-M and PGT-SR). This increase in demand necessitates the development of a clinical predictive model for live birth outcomes in these women. Therefore, the objective of this study is to construct a comprehensive predictive model that assesses the likelihood of achieving a successful live birth in advanced-aged women undergoing PGT-M and PGT-SR treatments. METHODS: A retrospective cohort study of 37-45-year-old women undergoing preimplantation genetic testing for monogenic disease or structural chromosomal rearrangement cycles from 2010 to 2021 was conducted at a university hospital reproductive centre. The purpose was to develop a clinical predictive model for live birth in these women. The main outcome studied was the cumulative live birth rate in the first or subsequent cycles. Developing a decision tree enabled a comprehensive study of clinical parameters and expected outcomes. RESULTS: The analysis included 158 women undergoing 753 preimplantation genetic testing cycles. The cumulative live birth rate was 37.342% (59/158). Decision tree analysis revealed that women aged ≤ 40.1 or women > 40.1 with one or more top-quality transferable embryos in their first cycle had the best chance for a live baby (56% and 41%, respectively). Those older than 40.1 without top-quality embryos and seven or fewer dominant follicles had no live births. A Kaplan-Meier curve showed that for autosomal dominant diseases, there was a negligible increase in live birth rate after three cycles, compared to six cycles in autosomal recessive inheritance. CONCLUSION: In older women, the chance of delivering after repeated cycles is higher in those with at least one top-quality unaffected embryo in their first preimplantation genetic testing cycle. Additional preimplantation genetic testing cycles after three in carriers of an autosomal dominant disorder and six in those with an autosomal recessive disorder should be considered prudently.

Isoform-resolved transcriptome of the human preimplantation embryo.

Human preimplantation development involves extensive remodeling of RNA expression and splicing. However, its transcriptome has been compiled using short-read sequencing data, which fails to capture most full-length mRNAs. Here, we generate an isoform-resolved transcriptome of early human development by performing long- and short-read RNA sequencing on 73 embryos spanning the zygote to blastocyst stages. We identify 110,212 unannotated isoforms transcribed from known genes, including highly conserved protein-coding loci and key developmental regulators. We further identify 17,964 isoforms from 5,239 unannotated genes, which are largely non-coding, primate-specific, and highly associated with transposable elements. These isoforms are widely supported by the integration of published multi-omics datasets, including single-cell 8CLC and blastoid studies. Alternative splicing and gene co-expression network analyses further reveal that embryonic genome activation is associated with splicing disruption and transient upregulation of gene modules. Together, these findings show that the human embryo transcriptome is far more complex than currently known, and will act as a valuable resource to empower future studies exploring development.

The association between a carrier state of FMR1 premutation and numeric sex chromosome variations.

PURPOSE: Women carriers of FMR1 premutation are at increased risk of early ovarian dysfunction and even premature ovarian insufficiency. The aim of this study was to examine a possible association between FMR1 permutation and numeric sex chromosome variations. METHODS: A retrospective case-control study conducted in the reproductive center of a university-affiliated medical center. The primary outcome measure was the rate of sex chromosomal numerical aberrations, as demonstrated by haplotype analyses, in FMR1 premutation carriers compared to X-linked preimplantation genetic testing for monogenic/single gene defect (PGT-M) cycles for other indications that do not affect the ovarian follicles and oocytes. RESULTS: A total of 2790 embryos with a final genetic analysis from 577 IVF PGT-M cycles were included in the final analysis. Mean age was similar between the groups, however, FMR1 carriers required more gonadotropins, and more women were poor responders with three or less oocytes collected. The ratio of embryos carrying a numeric sex chromosome variation was similar: 8.3% (138/1668) of embryos in the FMR1 group compared to 7.1% (80/1122) in the controls. A subgroup analysis based on age and response to stimulation has not demonstrated a significant difference either. CONCLUSIONS: Although carriers of FMR1 premutation exhibit signs of reduced ovarian response, it does not seem to affect the rate of numeric sex chromosomal variation compared to women undergoing PGT-M for other indications. This suggests that the mechanism for chromosomal number aberrations in women at advanced maternal age are different to those FMR1 premutation carriers with poor ovarian reserve.

Fertility Preservation in Endometriosis: Does Patient Symptomatology Affect the Extent of the Ovarian Response?

This study is to identify factors and patient symptomatology affecting ovarian response in women with endometriosis who seek fertility preservation. An observational cross-sectional study was conducted from July 2017 to May 2020 at a tertiary university-affiliated medical center. We included patients who were treated in the endometriosis clinic and underwent fertility preservation. Patients completed an online questionnaire that was cross-referenced with electronic charts. An analysis related to patient data and fertility preservation cycles and a mediation analysis were performed. The mean patient age at time of fertility preservation was 35.2 (± 4.9) years. The mean accumulated number of oocytes vitrified per patient was 16.7 (± 12.1) oocytes. The correlation coefficient assessed between the number of oocytes vitrified per cycle and AMH was significantly positive at +0.472, p = 0.006. The examined reported symptoms were lethargy, chronic pelvic pain, dyschezia, dyspareunia, bowel-associated symptoms, and urinary tract symptoms. The number of oocytes vitrified correlated with the number of reported symptoms and clinical characteristics at - 0.497, p = 0.0001, and - 0.442, p = 0.0001, respectively. In a mediation analysis, the potential causality of surgical intervention in the relationship between the number of symptoms and ovarian response was - 0.300 (95% CI [0.15, 1.905], p = 0.05), and the calculated proportion of mediation was estimated to be 17%. We observed a significant negative association between the number of clinical symptoms and the quantity of vitrified oocytes. This relationship was only partly associated with prior surgical intervention. AMH was found to have the highest correlation with treatment success in patients with endometriosis undergoing fertility preservation.

MicroRNAs expression in semen and testis of azoospermic men.

BACKGROUND: MicroRNAs are involved in the regulation of spermatogenesis, are detected in semen and may be useful as molecular markers for predicting residual complete spermatogenesis in azoospermic men. OBJECTIVES: To study the biomarker potential of microRNAs that are detected in semen and testicular tissue. MATERIALS AND METHODS: MicroRNA profiles were analyzed in semen fractions of normozoospermic (n = 3) and azoospermic (n = 6) men by small RNA deep sequencing. Specific microRNAs were further analyzed by reverse transcription and quantitative polymerase chain reaction in eight testicular samples and 46 semen supernatants. The semen supernatant samples included 18 normozoospermic and 28 azoospermic men with various pathologies. RESULTS: The sequenced microRNA profiles of semen supernatant fraction samples were distinct from the other fractions. Significant expression differences were observed between the semen supernatant of normozoospermic and azoospermic men. Further analysis by reverse transcription and quantitative polymerase chain reaction revealed that expression of miR-202-3p was considerably reduced (undetectable in most samples) in the azoospermic semen supernatants. The expression of miR-202-3p was significantly lower in the azoospermic specimens than in the normozoospermic specimens and a trend was observed for miR-629-5p (p = 0.03 and 0.06, respectively). Differences in expression levels in the semen supernatant were observed among the various pathologies but not to a level of significance, possibly because of the small subgroups. miRNA-370-3p was significantly higher in semen supernatant samples from azoospermic men without sperm cells in testis (p = 0.05). In testes, the three microRNAs were expressed at higher levels in the obstructive and spermatocyte maturation arrest pathologies than in mixed atrophy and Sertoli cell only. miR-202-3p was detected in all testicular samples. CONCLUSIONS: MicroRNA expression profiles in semen were distinguishable between azoospermic and normozoospermic men. The microRNA profile also diverged among azoospermic men subdivided according to their testicular pathologies. The levels of specific microRNAs in testis and in the semen supernatant were not directly correlated.

Sperm parameters in Israeli transgender women before and after cryopreservation.

BACKGROUND: The application of fertility preservation, initially intended for oncological patients prior to gonadotoxic treatment, has extended in recent years to transgender and gender-non-conforming individuals undergoing therapy for gender compatibility. OBJECTIVES: To examine semen quality and survival in transgender women pursuing semen cryopreservation in the presence or absence of gender-affirming hormonal medication. MATERIALS AND METHODS: In this retrospective cohort study, we reviewed data of 74 consecutive transgender women presenting for semen cryopreservation at a single center between 2000 and 2019. Semen parameters before and after cryopreservation were compared to a control group composed of 100 consecutive sperm bank donor candidates. A subgroup analysis of subjects who had used gender-affirming hormonal treatment was also performed. RESULTS: Compared to the control group, transgender women had lower total sperm count (144.0 vs. 54.5 million, respectively, p < 0.001), lower sperm motility percentage (65.0% vs. 51.0%, respectively, p < 0.001), and lower total motile sperm count (94.0 vs. 27.0 million, respectively, p < 0.001). Values were further decreased in transgender women who had received hormonal treatment before sperm cryopreservation. Post-thawing motility rate remained lower in the transgender group compared to the control group (20.0% vs. 45.0%, respectively, p < 0.001), and the total motile count remained lower as well (2.7 vs. 9.0 million, respectively, p < 0.001). Following sperm cryopreservation, the post-thaw decreases in total motile sperm count were higher in the transgender group compared with the control group (91.5% vs. 90.0%). Further subdivision in the transgender group showed that the decrease in total motile sperm count was lower for transgender women who did not use gender-affirming hormonal treatment compared to those who did (-89.7% vs. -92.6%, respectively, p < 0.01). DISCUSSION AND CONCLUSION: Sperm parameters in transgender women are poor compared to candidates for sperm donation representing the general population. Specimens collected after discontinuation of gender-affirming hormone treatments were further impaired. Moreover, post-thawing sperm total motile count, motility, and overall sperm survival were reduced in transgender women.

Cleavage stage at compaction-a good predictor for IVF outcome.

OBJECTIVE: To analyze whether cleavage stage at compaction, and not only kinetics, can serve as a reliable predictor for clinical outcome. METHODS: A retrospective cohort study including 1194 embryos, classified by compaction initiation stage (Group 1: compaction at fewer than eight cells, Group 2: compaction at eight cells, Group 3: compaction at more than eight cells). Of these, 815 embryos were evaluated for morphokinetic preimplantation parameters, and 379 embryos were analyzed for clinical implantation following thawing and transfer of single blastocysts during the same period. RESULTS: In total, 1194 embryos were analyzed. Embryos that underwent compaction from more than eight cells (Group 3) exhibited more synchronous cleavage compared with Groups 1 and 2 (at both S2 and S3; P < 0.001), and displayed a significantly lower fragmentation rate. The likelihood of obtaining top-quality blastocysts decreased by 73% and 44% when comparing Group 3 embryos with those of Groups 1 and 2, respectively, (P < 0.03). Clinical validation of the results shows that while compaction from fewer than eight cells barely produced blastocysts for transfer, compaction at eight or more cells is crucial for implantation and birth (birth rates 11.1% and 18.5% for Groups 2 and 3, respectively). CONCLUSION: Cleavage stage at compaction has a direct effect on blastocyst quality and subsequent pregnancy, so can be included in newly developed deep learning models for embryo selection.

Reproductive Outcomes and Overall Prognosis of Women with Asherman's Syndrome Undergoing IVF.

STUDY OBJECTIVE: To evaluate the impact of Asherman syndrome (AS) following hysteroscopic adhesiolysis on reproductive outcomes and the time to achieve pregnancy in women with infertility undergoing in vitro fertilization (IVF) treatment. DESIGN: Case-control study. SETTING: Tertiary university-affiliated medical center. PATIENTS: Fifty-one infertile women who were treated for AS and underwent IVF (study group) matched for age and etiology of infertility with non-AS controls at a 1:1 ratio. INTERVENTIONS: Medical records search, chart review, and phone survey were used to assess reproductive outcomes. MEASUREMENTS AND MAIN RESULTS: A multivariate logistic regression analyses was used to assess live birth, accounting for patient age at stimulation cycle start, parity, number of embryos transferred, and endometrial thickness. A survival analysis was performed to assess the times that had lapsed from interventions to conception. The study group of 51 women included 38 (74.5%) with moderate to severe disease. The mean number of embryo transfers per woman was similar for the study and control groups (4.9 ± 4.6 vs 6.22 ± 4.3, respectively, p = .78). The controls had a significantly higher mean endometrial thickness before embryo transfer (8.7 ± 1.8 mm vs 6.95 ± 1.7 mm, p = .001). The overall time to achieve live birth was significantly longer in women with AS (p = .022). In a logistic regression analysis, the presence of moderate to severe AS was shown to be an independent factor for achieving a live birth (adjusted odds ratio 0.174, 95% confidence interval [CI], 0.032-0.955, p = .004). Women with AS who had live births had a significantly thicker mean endometrial thickness (8.2 ± 1.4 mm vs 6.9 ± 1.2, p = .001). CONCLUSION: Moderate and severe AS has a detrimental effect on reproductive performance in infertile women. Endometrial thickness is an important predictor for live births among women with AS who undergo IVF.

The impact of fragile X premutation carrier status on embryo morphokinetic development.

RESEARCH QUESTION: Does inheritance of the fragile X mental retardation 1 (FMR1) premutation allele affect embryo morphokinetic development? DESIGN: A retrospective cohort analysis of 529 embryos from 126 IVF cycles of 39 FMR1 premutation female carriers undergoing preimplantation genetic testing for monogenic/single gene defects (PGT-M). Morphological and morphokinetic parameters obtained using a time-lapse monitoring system were compared between embryos that inherited the FMR1 premutation allele (FMR1 group, n = 271) and those who received the normal allele (normal group, n = 258). The following embryo outcome measures were compared: morphokinetic parameters up to day 3, start of blastulation time (tSB) for day 5 embryos and the rate of top-quality embryos on days 3 and 5. RESULTS: No differences were found in morphokinetic parameters between the groups from the time of intracytoplasmic sperm injection (ICSI) until a biopsy on day 3. The blastulation rate in the two groups was comparable. However, the start of blastulation was delayed in FMR1 embryos compared to that in the genetically normal embryos (median tSB: 104.2 h [99.3-110.3] versus 101.6 h [94.5-106.7], P = 0.01). In addition, the rate of top-quality FMR1 embryos was lower than that of genetically normal embryos (25.6% versus 38.8%, P = 0.04). CONCLUSION: Embryos that inherit the FMR1 premutation allele are of lower quality at the blastocyst stage compared with those that do not inherit the mutated allele.

Similar fertilization rates and preimplantation embryo development among testosterone-treated transgender men and cisgender women.

RESEARCH QUESTION: What are the effects of testosterone treatment on oocyte fertilization and preimplantation embryo development among transgender men who have undergone fertility preservation? DESIGN: A retrospective study was undertaken in a university-affiliated tertiary hospital between April 2016 and November 2021. Embryos were divided into three groups by source: 210 embryos from 7 testosterone-exposed transgender men, 135 from 10 cisgender women who cryopreserved embryos, and 276 from 24 cisgender women who underwent fertility treatment. Statistical analyses compared assisted reproductive technology outcomes between the group of transgender men and both groups of cisgender women. Morphokinetic and morphological parameters were compared between the embryos derived from these three groups. RESULTS: The transgender men (30.2 ± 3.5 years of age) were significantly younger than the cisgender women who cryopreserved embryos (35.1 ± 1.8 years; P = 0.005) and the cisgender women who underwent fertility treatment (33.8 ± 3.2 years; P = 0.017). After adjusting for participant age, the fertilization rate was comparable between the transgender men and both groups of cisgender women (P = 0.391 and 0.659). There were no significant differences between the transgender men and the cisgender women who preserved fertility in terms of number of cryopreserved embryos (7.2 ± 5.1 and 3.5 ± 2.6; P = 0.473) or the distribution of embryo age at cryopreservation (P = 0.576). All morphokinetic parameters evaluated by time-lapse imaging, as well as the morphological characteristics, were comparable for the embryos in all three groups. CONCLUSIONS: Testosterone exposure among transgender men has no adverse impact upon fertilization rates or preimplantation embryo development and quality.

Maternal underweight does not adversely affect the outcomes of IVF/ICSI and frozen embryo transfer cycles or early embryo development.

OBJECTIVE: To compare assisted reproductive technology (ART) outcomes and preimplantation embryo development between underweight and normal-weight women. METHODS: This retrospective cohort study included 26 underweight women (body mass index [BMI] < 18.50 kg/m2) and 104 normal-weight women (BMI >20 and <24.9 kg/m2) who underwent a total of 204 in vitro fertilization/intracytoplasmic sperm injection (IVF/ICSI) cycles and 358 fresh/frozen embryo transfers (ET) in our institution between January 2016 and December 2018. Statistical analyses compared selected ART outcomes (ovarian stimulation, fertilization, and pregnancy) between both weight groups. Morphokinetic and morphological parameters were also compared between 346 and 1467 embryos of underweight and normal-weight women, respectively. RESULTS: The mean ± standard deviation age of the underweight and normal-weight women was similar (31.6 ± 4.17 vs 32.4 ± 3.59 years; p = .323). There were no differences in the peak estradiol levels, the number of retrieved oocytes, the number of metaphase II oocytes, and the oocyte maturity rates between the two groups. The IVF/ICSI fertilization rates and the number of embryos suitable for transfer or cryopreservation were similar for both groups. All morphokinetic parameters that were evaluated by means of time-lapse imaging as well as the morphological characteristics were comparable between low and normal BMI categories. There were no significant differences in pregnancy achievement, clinical pregnancy, live births, and miscarriage rates between the suboptimal and optimal weight women. CONCLUSION: Underweight status has no adverse impacts on the outcomes of IVF/ICSI with either fresh or frozen ET or on preimplantation embryo development and quality.

Why fertility preservation rates of transgender men are much lower than those of transgender women.

RESEARCH QUESTION: What are the fertility preservation rates of transgender women and transgender men, and what are the factors that affect their decision-making? DESIGN: This prospective study included 97 transgender women and 91 transgender men referred to the Gender Clinic of the study medical centre's Endocrinology Institute and to the Gan Meir Community Health Care Centre. The responders completed a 28-item questionnaire during 2018. RESULTS: Most of the transgender women and transgender men wished to parent a child (67.4% and 61.9%, respectively, P = 0.447), but only 40.4% of the transgender women and 5.8% of the transgender men used fertility preservation (P < 0.001). The main reasons for not pursuing fertility preservation were unwillingness to postpone gender-affirming treatment (58.8% and 74.0%, respectively, P = 0.076), preference to adopt a child (58.8% and 60.9%, respectively, P = 0.818) and cost (44.9% and 60.9%, respectively, P = 0.086). Factors related to the fertility preservation process itself were specifically chosen by transgender men compared with transgender women as the reason for not pursuing this treatment, including distress caused by the fertility preservation technique (60.3% versus 29.3%, respectively, P = 0.006), fear of gender dysphoria caused by hormonal treatment (63.5% versus 28.3%, P = 0.002) and concern over the attitude of medical staff (44% versus 19%, P = 0.027). CONCLUSIONS: Fertility preservation rates were considerably lower among transgender men than transgender women, strongly related to the fertility preservation process itself. Finding ways to overcome the obstacles confronted by transgender individuals, especially transgender men, will enhance their future biological parenting.

The impact of COVID-19 vaccine on sperm quality.

OBJECTIVE: To examine the effect of the BNT162b, mRNA, SARS-CoV-2 virus vaccine on sperm quality. METHODS: This was a prospective cohort study conducted on sperm donors at the sperm bank of a tertiary, university affiliated medical center. All sperm donors donated sperm repeatedly and the average sperm parameters of all available samples were compared before and after receiving the SARS-CoV-2 vaccine. Each donor served as his own control. For all participants, at-least one sperm sample was received 72 days after completing the second vaccine. Main outcome measures included total sperm count, total motile count and percent of motile sperm. RESULTS: A total of 898 sperm samples from 33 sperm donors that were vaccinated with the Pfizer BNT162b, mRNA, SARS-CoV-2 virus vaccine were analyzed, 425 samples were received before the vaccine, while 473 samples were received after vaccination. Total sperm count and total motile count increased after the second vaccine compared to samples before vaccination. Percent of motile sperm did not change after vaccine. CONCLUSION: The Pfizer BNT162b, SARS-CoV-2 vaccine has no deleterious effect on sperm quality. Patients and physicians should be counseled accordingly.

Transgender men's preferences when choosing obstetricians and gynecologists.

BACKGROUND: Transgender men are a marginalized population with unique health care needs. However, their usage of health services is low because of considerable discrimination. A major factor in their avoidance is patient-provider interactions. METHODS: This cross-sectional study included 102 transgender men who anonymously completed a 55-item questionnaire in clinic, between 10/2017 and 01/2019. In addition, 92 transgender women filled out the part about family physician's preferences. We examined which characteristics transgender men prefer in their obstetricians/gynecologists in order to promote their usage of healthcare services. RESULTS: A small majority of the transgender men (54.1%) had no gender preference for their obstetrician/gynecologist, while 42.9% preferred a female obstetrician/gynecologist and 3.1% preferred a male obstetrician/gynecologist. Most transgender men with a same-gender preference preferred female obstetricians/gynecologists for both invasive procedures (e.g., pelvic examination, 97.4%) and non-invasive procedures (e.g., cesarean section, 60%). The reasons for preferences regarding invasive procedures were feeling comfortable, embarrassment and feeling that female obstetricians/gynecologists are gentler. Transgender men who preferred female obstetricians/gynecologists ranked ability (90.5%), sexual tolerance (92.9%) and gender identity tolerance (90.5%) as the top three desirable qualities of obstetricians/gynecologists, while the responders who did not prefer female ranked ability (94.6%), experience (92.9%) and knowledge (92.9%) as the top three qualities. Transgender men with female preferences considered female obstetricians/gynecologists to be more accepting of gender identity compared to the responders that did not prefer females (47.5% vs. 9.1%, P < .001).. CONCLUSION: A small majority of the transgender men exhibited no gender preference when choosing an obstetrician/gynecologist, although 42.9% preferred females. The latter choice was associated with the assumption that female obstetricians/gynecologists are more tolerant towards their transgender men patients. Educating the medical staff about their special needs and establishing dedicated SGM centers staffed with high percentages of female healthcare providers are highly recommended.

A decision tree analysis applied to women aged 43-45: who should be referred for ovum donation?

RESEARCH QUESTION: In women at the advanced age of 43-45 years undergoing repeated IVF cycles with autologous oocytes, who has the highest chance for birth and who should be referred early to receive donor oocytes? DESIGN: A retrospective cohort study was conducted at a university hospital reproductive centre. The computerized database of 394 women aged 43-45 years undergoing 1528 non-donor IVF or intracytoplasmic sperm injection cycles between 2010 and 2019 was analysed. A decision tree was developed, enabling a comprehensive study of a set of clinical parameters and the expected outcomes. RESULTS: The cumulative clinical pregnancy rate was 15.0% (59/394) and the cumulative live birth rate was 8.4% (33/394). The decision tree developed to predict women who should be offered egg donation included age, poor ovarian response to stimulation, the number of top-quality embryos, dominant follicles, previous pregnancy or live birth, fertilized oocytes and body mass index. The model showed that a good ovarian response in the first cycle was the best predictor for live birth (13.3% gave birth). However, among women with poor responses, 7.1% of those who were younger than 43.5 years gave birth, and none of the women who were older than 43.5 years did. CONCLUSIONS: Women over 43.5 years old with fewer than four oocytes collected in their first IVF cycle should be offered ovum donation, since their live birth rate in subsequent cycles is negligible.

Adolescent Transgender Females Present Impaired Semen Quality That Is Suitable for Intracytoplasmic Sperm Injection Even Before Initiating Gender-Affirming Hormone Treatment.

The present study aimed to determine the semen quality and cryopreservation outcomes among adolescent transgender females at the time of fertility preservation (FP) before initiating gender-affirming hormone (GAH) treatment. This retrospective cohort study included 26 adolescent transgender females who underwent FP in our Fertility Institute between 06/2013 and 10/2020. Pre-freezing semen parameters were compared to WHO 2010 reference values. Post-thaw semen parameters were used to determine the adequate assisted reproductive technology (ART). A multivariate linear regression analysis was performed to assess the impact of medical and lifestyle factors on semen quality. The mean age at which adolescent transgender females underwent FP was 16.2 ± 1.38 years. The median values of all semen parameters in our study group were significantly lower compared to the WHO data, including volume (1.46 mL vs 3.2 mL, respectively, P = 0.001 ), sperm concentration (28 × 106/mL vs 64 × 106/mL, P < 0.001), total sperm number (28.2 × 106 vs 196 × 106, P < 0.001), total motility (51.6% vs 62%, P < 0.001), and normal morphology (2% vs 14%, P < 0.001). The frequency of semen abnormalities was teratozoospermia 72%, hypospermia 52%, oligozoospermia 28%, and azoospermia 4%. The median post-thaw total motile count was 0.17 × 106/vial, and the quality was adequate only for ICSI in 87.7% of the thawed semen samples. No correlation was found between selected medical and lifestyle factors and poor semen parameters. Semen quality is strongly reduced among adolescent transgender females before hormone therapy and their stored sperm samples are suitable for intracytoplasmic sperm injection (ICSI) rather than conventional IVF/intrauterine insemination (IUI).

Testicular microlithiasis defines a subgroup of azoospermic men with low rates of sperm retrieval.

OBJECTIVE: To investigate the prevalence of testicular microlithiasis and its association with sperm retrieval rates and histopathology in men with non-obstructive azoospermia. METHODS: A total of 120 men underwent scrotal ultrasonography prior to microsurgical testicular sperm extraction. Sperm retrieval rate, testicular histopathology, testicular size, reproductive hormones, karyotyping, Y chromosome microdeletion analyses, and presence of varicoceles and hydroceles were compared between men with and without testicular microlithiasis. RESULTS: The total sperm retrieval rate was 40%. Ten men with normal spermatogenesis were excluded. The remaining 110 men with non-obstructive azoospermia were analyzed and testicular microlithiasis was detected in 16 of them (14.5%). The sperm retrieval rate in that subgroup was only 6.2% (1/16) as opposed to 39.4% (37/94) in men with non-obstructive azoospermia and no evidence of microlithiasis (P = 0.009). The mean right and left testicular diameters were significantly lower in the microlithiasis group (P = 0.04). On multivariate logistic regression analysis, the presence of mictolithiasis (odds ratio 7.4, 95% confidence interval 2.3, 12.2; P = 0.01) was the only independent predictor of unsuccessful sperm retrieval. The 15 patients with microlithiasis and without successful sperm extraction were diagnosed by histopathology as having Sertoli cells only. The 16th patient with successful sperm retrieval had a histopathology of mixed atrophy and was diagnosed with Klinefelter syndrome. CONCLUSION: The presence of testicular microlithiasis is associated with low sperm retrieval rates among our cohort of men with non-obstructive azoospermia undergoing scrotal ultrasonography prior to microsurgical testicular sperm extraction. Larger, prospective studies should be conducted to confirm these findings.

Fertility preservation and PGT-M in women with familial adenomatous polyposis-associated desmoid tumours.

RESEARCH QUESTION: Is ovarian stimulation and pregnancy in women with familial adenomatous polyposis (FAP)-associated desmoid tumours safe? DESIGN: The study included women with FAP-associated desmoid tumours who underwent fertility treatments at the authors' tertiary medical centre between the years 2011 and 2021. Data were collected from the fertility unit's charts and from the oncological registries. The main outcome measures were the number of vitrified oocytes and embryos, and the number of live births in preimplantation genetic testing for monogenic/single gene defects (PGT-M) cycles. RESULTS: Overall, 17 women were identified suitable for this study. A total of 117 mature oocytes were vitrified for fertility preservation and 106 embryos were submitted to PGT-M. One patient returned to claim her cryopreserved oocytes, and five patients who underwent PGT-M embryo transfer reported three live births. A statistically significant decrease in selected fertility cycle parameters was observed in one woman who co-administered sorafenib (a multikinase inhibitor) during her first cycles of treatment, as the mean number of oocytes before and after was 2.7 (±1.3) versus 13.2 (±3.3) (P = 0.02), the mean number of metaphase II oocytes was 2.2 (±2.1) versus 7.7 (±2.6) (P = 0.007), and the mean number of two-pronuclei oocytes was 0.5 (±1.1) versus 3.5 (±1.7) (P = 0.09). Three patients had a median desmoid tumour growth on magnetic resonance imaging of 6.2 (2.9-7.2) cm when compared with prior ovarian stimulation imaging. CONCLUSIONS: Ovarian stimulation for women with desmoid tumours was characterized in some patients with an acceleration in tumour growth, regardless of the use of aromatase inhibitors. The use of sorafenib should be carefully considered during the course of fertility treatment.

A decision tree model for predicting live birth in FMR1 premutation carriers undergoing preimplantation genetic testing for monogenic/single gene defects.

RESEARCH QUESTION: Can patient selection for successful preimplantation genetic testing for women who are fragile X (FMR1) premutation carriers be optimized using a decision tree analysis? This decision support tool enables a comprehensive study of a set of clinical parameters and the expected outcomes. DESIGN: A retrospective case-control study analysing the results of 264 fresh and 21 frozen preimplantation genetic testing for monogenic disorders/single gene defects (PGT-M) cycles in 64 FMR1 premutation carriers. Primary outcome was live birth per cycle start. Live birth rate was calculated for the start of the ovarian stimulation cycle. Fresh and frozen embryo transfers from the same cycle were included. RESULTS: The decision tree model showed that the number of cytosine guanine (CGG) repeats was only a moderate predictor for live birth, whereas an age younger than 36 years was the best predictor for live birth, followed by a collection of 14 or more oocytes. These findings were supported by the results of the logistic regression, which found that only age and oocyte number were significantly associated with live birth (P = 0.005 and 0.017, respectively). CONCLUSIONS: The number of CGG repeats is a relatively poor predictor for live birth in PGT-M cycles. FMR1 premutation carriers are no different from non-carriers. Age is the best identifier of live birth, followed by the number of retrieved oocytes.