An end-to-end pipeline based on open source deep learning tools for reliable analysis of complex 3D images of ovaries.

Computational analysis of bio-images by deep learning (DL) algorithms has made exceptional progress in recent years and has become much more accessible to non-specialists with the development of ready-to-use tools. The study of oogenesis mechanisms and female reproductive success has also recently benefited from the development of efficient protocols for three-dimensional (3D) imaging of ovaries. Such datasets have a great potential for generating new quantitative data but are, however, complex to analyze due to the lack of efficient workflows for 3D image analysis. Here, we have integrated two existing open-source DL tools, Noise2Void and Cellpose, into an analysis pipeline dedicated to 3D follicular content analysis, which is available on Fiji. Our pipeline was developed on larvae and adult medaka ovaries but was also successfully applied to different types of ovaries (trout, zebrafish and mouse). Image enhancement, Cellpose segmentation and post-processing of labels enabled automatic and accurate quantification of these 3D images, which exhibited irregular fluorescent staining, low autofluorescence signal or heterogeneous follicles sizes. In the future, this pipeline will be useful for extensive cellular phenotyping in fish or mammals for developmental or toxicology studies.

Shear wave elastography to assess stiffness of the human ovary and other reproductive tissues across the reproductive lifespan in health and disease†.

The ovary is one of the first organs to show overt signs of aging in the human body, and ovarian aging is associated with a loss of gamete quality and quantity. The age-dependent decline in ovarian function contributes to infertility and an altered endocrine milieu, which has ramifications for overall health. The aging ovarian microenvironment becomes fibro-inflammatory and stiff with age, and this has implications for ovarian physiology and pathology, including follicle growth, gamete quality, ovulation dynamics, and ovarian cancer. Thus, developing a non-invasive tool to measure and monitor the stiffness of the human ovary would represent a major advance for female reproductive health and longevity. Shear wave elastography is a quantitative ultrasound imaging method for evaluation of soft tissue stiffness. Shear wave elastography has been used clinically in assessment of liver fibrosis and characterization of tendinopathies and various neoplasms in thyroid, breast, prostate, and lymph nodes as a non-invasive diagnostic and prognostic tool. In this study, we review the underlying principles of shear wave elastography and its current clinical uses outside the reproductive tract as well as its successful application of shear wave elastography to reproductive tissues, including the uterus and cervix. We also describe an emerging use of this technology in evaluation of human ovarian stiffness via transvaginal ultrasound. Establishing ovarian stiffness as a clinical biomarker of ovarian aging may have implications for predicting the ovarian reserve and outcomes of Assisted Reproductive Technologies as well as for the assessment of the efficacy of emerging therapeutics to extend reproductive longevity. This parameter may also have broad relevance in other conditions where ovarian stiffness and fibrosis may be implicated, such as polycystic ovarian syndrome, late off target effects of chemotherapy and radiation, premature ovarian insufficiency, conditions of differences of sexual development, and ovarian cancer. Summary sentence:  Shear Wave Elastography is a non-invasive technique to study human tissue stiffness, and here we review its clinical applications and implications for reproductive health and disease.

Accuracy of machine learning in the preoperative identification of ovarian borderline tumors: a meta-analysis.

AIM: The objective of this study is to explore the diagnostic value of machine learning (ML) in borderline ovarian tumors through meta-analysis. METHODS: Pubmed, Embase, Web of Science, and Cochrane Library databases were comprehensively retrieved from database inception untill February 16, 2023. The Prediction Model Risk of Bias Assessment Tool (PROBAST) was adopted to evaluate the risk of bias in the original studies. Sub-group analyses of ML were conducted according to clinical features and radiomics features. We separately discussed the discriminative value of ML for borderline vs benign and borderline vs malignant tumors. RESULTS: Eighteen studies involving 12,778 subjects were included in our analysis. The modeling variables mainly consisted of radiomics features (n=13) and a small number of clinical features (n=5). When distinguishing between borderline and benign tumors, the ML model based on radiomic features achieved a c-index of 0.782 (95% CI: 0.732-0.831), sensitivity of 0.75 (95% CI: 0.67-0.82), and specificity of 0.75 (95% CI: 0.67-0.81) in the validation set. When distinguishing between borderline and malignant tumors, the ML model based on radiomic features achieved a c-index of 0.916 (95% CI: 0.891-0.940), sensitivity of 0.86 (95% CI: 0.78-0.91), and specificity of 0.88 (95% CI: 0.82-0.92) in the validation set. In addition, we analyzed the discriminatory ability of radiologists and found that their sensitivity was 0.26 (95% CI: 0.12-0.46) and specificity was 0.94 (95% CI: 0.90-0.97). CONCLUSIONS: ML has tremendous potential in the preoperative diagnosis and differentiation of borderline ovarian tumors and may be more accurate than radiologists in diagnosing and differentiating borderline ovarian tumors.

Diagnostic performance of contrast-enhanced ultrasound (CEUS) combined with Ovarian-Adnexal Reporting and Data System (O-RADS) ultrasound risk stratification for adnexal masses: a systematic review and meta-analysis.

AIM: A number of studies have reported that contrast-enhanced ultrasound (CEUS) imaging might be used for the early diagnosis of adnexal masses. A meta-analysis was performed to evaluate the diagnostic accuracy of CEUS combined with Ovarian-Adnexal Reporting and Data System (O-RADS) ultrasound risk stratification for adnexal masses. MATERIALS AND METHODS: Related articles were retrieved from PubMed, Web of Science, Embase, and the Cochrane Library in strict accordance with established standards, and data (including true positive, false positive, false negative, and true negative values) was extracted from the original articles. The Quality Assessment of Diagnostic Accuracy Studies 2 was used to evaluate the quality of articles and the possibility of bias. STATA 12.0 software was used to perform statistical analysis. RESULTS: Five articles that included 598 patients were analyzed in this meta-analysis. The pooled sensitivity and specificity of CEUS combined with O-RADS for the diagnosis of adnexal masses were 0.95 (95% confidence interval [CI]: 0.91-0.98) and 0.86 (95% CI: 0.79-0.91). Moreover, the positive likelihood ratio, negative likelihood ratio, diagnostic odds ratio (DOR), and area under the curve (AUC) were 6.81 (95% CI: 4.61-10.08), 0.05 (95% CI: 0.03-0.11), 111.30 (95% CI: 65.32-189.65), and 0.97 (95% CI: 0.95-0.98), respectively. The pooled AUC and DOR for the detection of CEUS combined with O-RADS were superior to O-RADS US. CONCLUSION: Our findings revealed that O-RADS combined with CEUS can improve the diagnostic accuracy of ovarian adnexal masses.

Ovarian vein thrombus in a pediatric patient: A case study.

Acute abdominal pain is a very common chief complaint in the pediatric population, accounting for 5-10% of emergency department (ED) visits. Etiology differentiation is determined by complete history and physical examination, basic laboratory studies, and a variety of imaging study options. In this case report, we present an 8-year-old female with an unusual etiology of acute lower abdominal pain. She presented with tachycardia, hypertension, and bilateral lower quadrant abdominal tenderness without peritonitis. Laboratory studies were unremarkable and appendix ultrasound was indeterminate. CT with contrast revealed right ovarian vein thrombosis. Hematology evaluation did not reveal hypercoagulability. She was discharged on rivaroxaban, which was discontinued after a 3 month course and negative follow-up MRI. Ovarian vein thrombosis (OVT) most commonly develops in the peripartum time frame, with an estimated 20%-40% of cases not related to pregnancies. However, patients with nonpregnancy related OVT were determined to be significantly older than patients with pregnancy related OVT. This case report demonstrates the youngest documented case of OVT. This patient was not in the peripartum period and did not have any identifiable risk factors. Given this unprovoked OVT in a pediatric patient, in patients presenting with abdominal pain with unspecified etiology, advanced imaging studies may be helpful in establishing a diagnosis.

Diagnostic value of ultrasound elastography in polycystic ovary syndrome: a systematic review and meta-analysis.

OBJECTIVE: The main purpose of this systematic review and meta-analysis was to investigate the diagnostic value of ultrasound elastography in the evaluation of polycystic ovary syndrome (PCOS). METHODS: A comprehensive and methodical investigation was carried out in the databases of PubMed, EMBASE, Cochrane, Scopus, Web of Science, and China National Knowledge Infrastructure, covering the entire duration of these databases until October 18, 2023. The primary purpose of this research was to evaluate and contrast ovarian tissue elasticity in people with and without PCOS. The elasticity of ovarian tissue was quantified using standardized mean difference (SMD). RESULTS: A total of eight studies were ultimately selected for systematic evaluation and meta-analysis. Five studies used shear wave elastography (SWE) as a diagnostic tool, and it was discovered that women with PCOS had higher levels of ovarian shear wave elasticity than their healthy counterparts. The SMD was determined to be 1.86 kilopascal (95% CI: 1.27 to 2.44). Three studies were conducted using strain elastography (SE) to compare the ovarian strain ratio of patients with PCOS to that of a healthy control group. The SMD for the PCOS group was 2.07 (95% CI: 1.79 to 2.34), which indicated that the ovarian strain ratio was significantly higher in that group. CONCLUSION: This systematic review and meta-analysis found that women with PCOS had stiffer ovarian tissue than women without the disorder. Ultrasound elastography may provide clinicians with value beyond 2D ultrasound in the diagnosis of PCOS.

The effect of subclinical hypothyroidism on hormonal and metabolic profiles and ovarian morphology in patients with polycystic ovary syndrome: a cross-sectional study.

OBJECTIVES: Polycystic ovary syndrome (PCOS) and subclinical hypothyroidism (SCH) are prevalent gynecological conditions. However, the interrelationship between the two remains elusive. This study aims to elucidate the association between these conditions and determine the potential impact of SCH on the physiological and metabolic characteristics of patients with PCOS. METHODS: This cross-sectional study enrolled 133 patients with PCOS from our Hospital. Participants were categorized into two groups: those with PCOS + SCH (n = 58) and those with PCOS (n = 75). Serum hormonal levels, metabolic markers, ovarian volume, and follicle count were compared between the groups. RESULTS: There was a significant difference in BMI between the two groups, with a higher prevalence of obesity in the PCOS + SCH group (p = .014). Compared to the PCOS group, patients with PCOS + SCH had significantly higher levels of TSH (p < .001), triglycerides (p = .025), and HOMA-IR (p < .001), while LH levels were significantly lower (p = .048). However, multivariate linear regression analysis revealed that TSH, triglycerides, LH, and HOMA-IR were not determinants for the occurrence of SCH in patients with PCOS. Additionally, there was a notable reduction in follicle count in the left ovary for the PCOS + SCH group compared to the PCOS group (p = .003), and the overall follicle diameter of the PCOS + SCH group was also smaller (p = .010). CONCLUSION: SCH may exert effects on the physiological and metabolic profiles of patients with PCOS. Further investigation into the relationship between these disorders is warranted to delineate their clinical implications.

Application of convolutional neural network for differentiating ovarian thecoma-fibroma and solid ovarian cancer based on MRI.

BACKGROUND: Ovarian thecoma-fibroma and solid ovarian cancer have similar clinical and imaging features, and it is difficult for radiologists to differentiate them. Since the treatment and prognosis of them are different, accurate characterization is crucial. PURPOSE: To non-invasively differentiate ovarian thecoma-fibroma and solid ovarian cancer by convolutional neural network based on magnetic resonance imaging (MRI), and to provide the interpretability of the model. MATERIAL AND METHODS: A total of 156 tumors, including 86 ovarian thecoma-fibroma and 70 solid ovarian cancer, were split into the training set, the validation set, and the test set according to the ratio of 8:1:1 by stratified random sampling. In this study, we used four different networks, two different weight modes, two different optimizers, and four different sizes of regions of interest (ROI) to test the model performance. This process was repeated 10 times to calculate the average performance of the test set. The gradient weighted class activation mapping (Grad-CAM) was used to explain how the model makes classification decisions by visual location map. RESULTS: ResNet18, which had pre-trained weight, using Adam and one multiple ROI circumscribed rectangle, achieved best performance. The average accuracy, precision, recall, and AUC were 0.852, 0.828, 0.848, and 0.919 (P < 0.01), respectively. Grad-CAM showed areas associated with classification appeared on the edge or interior of ovarian thecoma-fibroma and the interior of solid ovarian cancer. CONCLUSION: This study shows that convolution neural network based on MRI can be helpful for radiologists in differentiating ovarian thecoma-fibroma and solid ovarian cancer.

Normal ovarian sizes on MRI in pediatric patients: a preliminary study.

BACKGROUND: Ovarian enlargement is one of several findings of pathology, including ovarian torsion. With increasing use of MRI for acute abdominal pain in children, data for normal ovary size and appearance are needed. OBJECTIVE: To provide preliminary data on normal sizes of ovaries on MRI in pediatric patients. MATERIALS AND METHODS: This retrospective IRB-approved study included girls (5 to 17 years of age) with MRI examinations performed for indications not related to the ovaries from 2018 to 2022. For each MRI, coronal T2-weighted single shot fast spin echo and axial T2-weighted fat-saturated images were independently reviewed by three pediatric radiologists who recorded ovary visualization and ovarian linear measurements (3 planes). Ovarian volumes were calculated from linear measurements. Agreement among observers was calculated using kappa statistics and intraclass correlation coefficients. RESULTS: A total of 181 MRIs were reviewed. The left ovary was visualized in 166-176 (92-97%) cases (R1-R3) and the right ovary was visualized in 165-174 (91-96%) cases with excellent agreement among reviewers (left: K = 0.89 [0.84-0.94], right: K = 0.85 [0.79-0.91]). Interrater class coefficient (ICC) for largest single dimension of the ovary was left: 0.83 (CI 0.79-0.87) and right: 0.85 (CI 0.81-0.89). There were significant moderate to strong correlations between ovarian volume and age (left: 0.67 [0.58-0.75], right: 0.66 [0.57-0.74]). CONCLUSION: The ovaries can be adequately visualized and measured on MRI with excellent inter-reader agreement. This study serves as the foundation for developing normative values for ovarian volumes by age on MRI.

Impact of the difference in diagnostic criteria for adolescent polycystic ovary syndrome excluding polycystic ovarian morphology.

AIM: Exclusion of polycystic ovarian morphology (PCOM) from the diagnostic criteria for adolescent polycystic ovary syndrome (PCOS) has been proposed. We analyzed the profiles of adolescent women with suspected PCOS based on the Japan Society of Obstetrics and Gynecology (JSOG) diagnostic and Rotterdam criteria, excluding those with PCOM. METHODS: Thirteen- to twenty-one-year-old women with suspected or confirmed diagnosis of PCOS according to the JSOG and Rotterdam criteria were included in this study. Patient characteristics such as hormone levels and body mass index (BMI) were compared between the groups. Correlations between BMI and testosterone, and BMI and time to diagnosis were also analyzed. RESULTS: Twenty-nine patients were diagnosed with adolescent PCOS according to the JSOG criteria, and 11 patients according to the Rotterdam criteria after excluding the patients fulfilling the PCOM criteria. Serum testosterone levels were significantly higher in adolescents diagnosed with PCOS using the Rotterdam criteria than in those diagnosed using the JSOG criteria (p < 0.001). The obese group had significantly higher testosterone levels and a longer time from menarche to PCOS diagnosis. A positive correlation was observed between BMI and testosterone levels (r = 0.318, p = 0.014). CONCLUSION: Although adolescents with PCOS diagnosed using the Rotterdam criteria exhibited higher testosterone levels, which is a typical characteristic of this condition, the JSOG criteria may be useful for the early diagnosis of adolescent PCOS, including suspected cases. The differences between the two criteria may reflect the natural history of PCOS and its different reproductive and metabolic phenotypes.

Anastomosing hemangioma of the ovary: a rare benign tumor.

Anastomosing hemangioma (AH) is a rare benign lesion that is asymptomatic in the majority of cases. Herein, we present the case of a 26-year-old woman with acute lower abdominal pain for 5 months. The patient subsequently developed symptoms of hyperestrogenism with prolonged menstrual periods. The possibility of malignancy could not be ruled out via ultrasonography and computed tomography. The tumor was completely removed using laparoscopic surgery, and pathological examination confirmed AH of the ovary.

Canal of nuck hernia with uterus and ovary presenting as inguinal swelling in a female infant.

Canal of nuck hernia is rarely reported in pediatric population. We report one such case of a canal of nuck hernia in a 2-month-old girl containing uterus, ovary and small bowel diagnosed on ultrasonography, and which was later confirmed and treated surgically.

Diagnostic challenges in primary ovarian carcinoid: Insights from radiological imaging-A case study.

Primary ovarian carcinoid (POC) is a very rare subset of ovarian tumors, presenting diagnostic challenges due to its inconclusive radiological imaging. In this case study, we present a 30-year-old nulliparous female with subfertility complaints and irregular menstrual cycles, who was initially misdiagnosed with an ovarian cyst. Subsequent comprehensive imaging, including Color Doppler, revealed high vascularity, and prompting suspicion of malignancy. Surgical resection and histopathological evaluation ultimately confirmed the presence of a rare Carcinoid tumor, insular type. This case emphasizes a multidisciplinary approach to the early detection and accurate diagnosis of POCs.

Opting for conservative management over surgery for neonatal ovarian cysts.

OBJECTIVE: To explore the suitability of conservative management for neonatal ovarian cysts in newborns. METHODS: A retrospective cohort study was conducted, involving infants diagnosed with neonatal abdominal/pelvic cysts at two separate medical institutions from January 2015 through July 2021. Data collection included clinical characteristics, imaging results, pathological findings, and postnatal outcomes. Statistical analyses were performed using the Student's t-test, Mann-Whitney U-test, and receiver operating characteristic (ROC) curve. RESULTS: In total, 34 cases of neonatal abdominal/pelvic cystic masses were detected, with mean birth weight of 3401 ± 515 g. Of these, 22 patients underwent postnatal cystectomy/oophorectomy. Pathological assessments revealed 16 uncomplicated cysts, 5 complex cysts, and 1 ovarian cyst with torsion complications. Notably, the cysts' dimensions at the time of surgical intervention had significantly decreased from the initial measurements (p = 0.015). The ROC curve analysis presented an area under the curve of 0.642, indicating moderate accuracy in employing cyst size as a discriminative feature to differentiate complex from simple ovarian cysts. Additionally, a short-term follow-up of nonsurgical cases indicated a 100% resolution rate by 24 months of age (n = 9). CONCLUSION: Given their predominantly benign nature, the majority of neonatal ovarian cysts seem to be amenable to conservative management. This approach remains justified for larger cysts with minimal torsion risk, as well as considering the observed reduction in cyst size at birth, which further supports the case against surgical intervention.

Spontaneous Heterotopic Pregnancy with Ovarian Localization: Case Report.

Heterotopic pregnancies are a rare phenomenon defined by the simultaneous occurrence of intrauterine and extrauterine pregnancy. The incidence of heterotopic pregnancy occurring through natural fertilization is low but is increased by risk factors such as assisted reproductive techniques or pelvic inflammatory disease increase. We report the case of a 36-year-old female patient in the 6th week of pregnancy who presented to the emergency unit with severe acute lower abdominal pain. Laboratory chemistry and sonography revealed a suspected heterotopic pregnancy. The patient was admitted for observation. The sonographic reevaluation on the next day confirmed the suspicion of extrauterine gravidity with intact intrauterine gravidity with additional decreasing hemoglobin and hematoperitoneum, so that laparoscopy was indicated. Intraoperatively, the mass on the left ovary was removed without complications. The patient could be discharged quickly postoperatively after a complication-free course and gave birth to a healthy child by spontaneous partus in the 38th week of gestation. Due to their rarity, there is limited research related to heterotopic pregnancies, and most scientific articles are case studies. Diagnostically, the most important thing in clinical practice is to think about the possibility of EUG even if there is evidence of an intact IUG. Transvaginal sonography is of particular importance in diagnostics. The performance of prospective cohort studies is desirable for the evidence-based diagnosis and therapy of affected patients in the future.

Anatomic nomenclature and 3-dimensional regional model of the human ovary: call for a new paradigm.

The ovaries are the female gonads that are crucial for reproduction, steroid production, and overall health. Historically, the ovary was broadly divided into regions defined as the cortex, medulla, and hilum. This current nomenclature lacks specificity and fails to consider the significant anatomic variations in the ovary. Recent technological advances in imaging modalities and high-resolution omic analyses have brought about the need for revision of the existing definitions, which will facilitate the integration of generated data and enable the characterization of organ subanatomy and function at the cellular level. The creation of these high-resolution multimodal maps of the ovary will enhance collaboration and communication among disciplines and between clinicians and researchers. Beginning in March 2021, the Pediatric and Adolescent Gynecology Program of the Eunice Kennedy Shriver National Institute of Child Health and Human Development invited subject-matter experts to participate in a series of workshops and meetings to standardize ovarian nomenclature and define the organ's features. The goal was to develop a spatially defined and semantically consistent terminology of the ovary to support collaborative, team science-based endeavors aimed at generating reference atlases of the human ovary. The group recommended a standardized, 3-dimensional description of the ovary and an ontological approach to the subanatomy of the ovary and definition of follicles. This new greater precision in nomenclature and mapping will better reflect the ovary's heterogeneous composition and function, support the standardization of tissue collection, facilitate functional analyses, and enable clinical and research collaborations. The conceptualization process and outcomes of the effort, which spanned the better part of 2021 and early 2022, are introduced in this article. The institute and the workshop participants encourage researchers and clinicians to adopt the new systems in their everyday work to advance the overarching goal of improving human reproductive health.

Ovarian and uterine arteries blood flow velocities waveform, hormones and nitric oxide in relation to ovulation in cows superstimulated with equine chorionic gonadotropin and luteolysis induction 10 and 17 days after ovulation.

To investigate the ovarian responses, ovarian and uterine hemodynamics, circulating ovarian hormones, and nitric oxide (NO) with their relations in superstimulated cows. Eight Holstein Friesian dry cows previously synchronized with CIDR underwent rectal Doppler ultrasound scanning and blood sampling after administrating eCG (1500 I.U) on day 10 of the second ovulation (day -5). Cows were treated with 12.5 mg prostaglandin F2α (PGF2α) on days 10 and 17 after ovulation. Estradiol, progesterone, and NO were measured. Results showed that from ≥ 13 follicles, five follicles ovulated from both ovaries. The ovulated follicles increased antrum colored area and colored area % till day -1. The developed corpora lutea (CLs) attained similar diameter, area, colored area, and colored area % from day 2 till day 15. The peak point of velocity (PSV) of uterine arteries decreased while that of ovarian arteries increased from day -4 to day 0. Both ovarian arteries diameter, resistance index (RI), PSV, end velocity (EDV) and systolic/diastolic ratio (S/D) positively correlated (P < 0.0001), but their pulsatility index (PI) negatively correlated (P < 0.0001). The uterine arteries PI, RI, PSV, EDV, time average velocity (TAMV) and S/D negatively correlated (P < 0.0001) but their diameters positively correlated. Estradiol increased but progesterone decreased from day -5 till day 0. After ovulation, P4 reached maximum values on day 9 and started to decrease till day 19.NO showed one peak on day -3 and another one from day 3 to day 9. Conclusions: Blood flow of ovarian arteries is different from uterine arteries and depended on pre- or post-ovulation.

Identification of ovarian endometriotic cysts in cystic lesions of the ovary by amide proton transfer-weighted imaging and R2∗ mapping.

AIM: To investigate the value of amide proton transfer weighted (APTw) imaging and R2∗ mapping of cystic fluid in differentiating ovarian endometriotic cysts (OE) from other ovarian cystic (OOC) lesions. MATERIALS AND METHODS: A total of 42 patients who underwent 3 T pelvic magnetic resonance imaging (MRI) were enrolled. Nineteen lesions were OE and 27 lesions were OOC. The APTw imaging and R2∗ values of the cystic fluid were measured and compared between the two groups using the independent sample t-test or Mann-Whitney U-test. Receiver operating characteristic (ROC) curves were used to evaluate the diagnostic efficacy of different parameters. The area under ROC curves (AUCs) was compared using the Delong test. Spearman's correlation analysis was used to assess the correlation between APTw imaging and R2∗ values. RESULTS: APTw imaging values of OE were lower, while R2∗ values were higher in OE than those in OOC (p=0.001 and < 0.001). The AUCs of APTw imaging and R2∗ values to identify OE from OOC were 0.910 and 0.975. The AUC increased to 0.990 when combining APTw imaging and R2∗ values, yet without a significant difference to the APTw imaging or R2∗ value alone (p=0.229 and 0.082, respectively). APTw imaging values were negatively correlated with R2∗ values (r=-0.522, p<0.001). CONCLUSION: Both APTw imaging and R2∗ values of OE are significantly different from other ovarian cystic lesions. APTw imaging combined with R2∗ values show excellent diagnostic efficacy to differentiate between OE and OOC.

The physiological sonographic features of the ovary in healthy subjects: a joint systematic review and meta-analysis by the Italian Society of Gynecology and Obstetrics (SIGO) and the Italian Society of Endocrinology (SIE).

PURPOSE: There is a lack of uniformity in the definition of normal ovary ultrasound parameters. Our aim was to summarize and meta-analyze the evidence on the topic. Full-text English articles published through December 31, 2020 were retrieved via MEDLINE and Embase. Data available for meta-analysis included: ovarian follicular count, ovarian volume, and ovarian Pulsatility Index (PI) assessed by Doppler ultrasound. METHODS: Cohort, cross-sectional, prospective studies with a single or double arm were considered eligible. Interventional studies were included when providing baseline data. Both studies on pre- and post-menopausal women were screened; however, data on menopausal women were not sufficient to perform a meta-analysis. Studies on pre-pubertal girls were considered separately. Eighty-one papers were included in the meta-analysis. RESULTS: The mean ovarian volume was 6.11 [5.81-6.42] ml in healthy women in reproductive age (5.81-6.42) and 1.67 ml [1.02-2.32] in pre-pubertal girls. In reproductive age, the mean follicular count was 8.04 [7.26-8.82] when calculated in the whole ovary and 5.88 [5.20-6.56] in an ovarian section, and the mean ovarian PI was 1.86 [1.35-2.37]. Age and the frequency of the transducers partly modulated these values. In particular, the 25-30-year group showed the higher mean follicular count (9.27 [7.71-10.82]), followed by a progressive age-related reduction (5.67 [2.23-9.12] in fertile women > 35 years). A significant difference in follicular count was also found according to the transducer's upper MHz limit. CONCLUSION: Our findings provide a significant input to improve the interpretation and diagnostic accuracy of ovarian ultrasound parameters in different physiological and pathological settings.

Accuracy of ultrasound and visual inspection in antral follicular count in crossbred Holstein cows raised under grazing systems at high altitude.

The objective of this research was to investigate the diagnostic accuracy of post-mortem ultrasound in antral follicle count (AFC) determination and compare it with visual AFC in grazing crossbred Holstein cows, at high altitude in Ecuador. Pre-mortem blood from 80 cows was collected, and AFC and ovarian characteristics were analysed post-mortem by ultrasound and visual techniques. AFC counts were stratified as high, medium or low by terciles. Mean AMH concentration in pre-mortem blood was 280.1 ± 15.53 pg/mL. The AFC obtained by visual inspection (26.9 ± 9.49 follicles) was 23.8% higher than by ultrasound (20.5 ± 7.53 follicles) in all ovaries. Body condition score, age and weight of the cattle did not interact with the count technique. In the low AFC group, visual inspection and ultrasound provided similar AFC results. However, in the Medium- and High-AFC groups, AFC by ultrasound was 14.9% lower than AFC by visual inspection. We confirm that ultrasound can be used with great accuracy for AFC >3 mm (close to the resolution limit) in grazing crossbred Holstein cows at high altitude.