Evaluation of carotid artery elasticity and its influencing factors in non-obese PCOS patients using a technique for quantitative vascular elasticity measurement.

Objectives: To evaluate the intima-media thickness (IMT) and elasticity of the carotid artery in non-obese polycystic ovary syndrome (PCOS) patients using a quantitative technique for vascular elasticity measurement and to explore the influencing factors. Methods: Sixty non-obese patients without metabolic and cardiovascular diseases who were diagnosed with PCOS in the Women and Children's Hospital of Chongqing Medical University from January to December 2022 were prospectively selected (case group), and 60 healthy volunteers matched for body mass index were included as the control group. Body weight, height, heart rate, blood pressure, and waist-to-hip ratio were recorded. Fasting blood samples were drawn from the elbow vein to measure hormone levels including total testosterone (TT), sex hormone-binding globulin (SHBG), fasting plasma glucose (FPG), fasting insulin (FINS), lipids, and homocysteine (Hcy). The insulin resistance index (HOMA-IR) and free androgen index (FAI) were calculated. Ultrasound elastography was used to measure the IMT and elastic function parameters of the right carotid artery, including vessel diameter, wall displacement, stiffness coefficient, and pulse wave velocity. Differences in various parameters between the two groups were analyzed, and correlations between the carotid stiffness coefficient and other serological indicators were assessed using Spearman correlation analysis. Results: No significant differences in age, body mass index, heart rate, systolic blood pressure, and diastolic blood pressure were observed between the two groups (all P>0.05), while the waist-to-hip ratio (WHR) was higher in the case group than in the control group (P<0.05).The hormone level serological indicators TT and FAI were higher in the case group than in the control group, and SHBG was lower in the case group than in the control group (all P<0.05). The metabolism-related serum indicators LDL-C, HDL-C, FPG, triglycerides, and total cholesterol levels were not statistically different between the two groups (all P>0.05), and serum FINS, HOMA-IR, and Hcy levels were significantly higher in the case group than in the control group (all P<0.05).No significant difference in carotid artery diameter was observed between the case group and control group (P>0.05). The carotid artery displacement in the case group was significantly smaller than that in the control group (P<0.05), and carotid IMT, hardness coefficient, and pulse wave propagation velocity were greater in the case group than in the control group (all P<0.05). The carotid elastic stiffness coefficient was positively correlated with WHR, TT, SHBG, FAI, FINS, HOMA-IR and Hcy to varying extents and negatively correlated with SHBG. Conclusion: In non-obese PCOS patients with no metabolic or cardiovascular disease, the carotid stiffness coefficient was increased and correlated with indicators of hyperandrogenism, insulin resistance, and hyperhomocysteinemia.

Application of small animal ultrasound imaging technology for identification of polycystic ovary syndrome in a mouse model.

BACKGROUND AND AIMS: Polycystic ovary syndrome (PCOS) is a hormonal disorder common among women of reproductive age, characterized by irregular menstrual periods, elevated levels of androgens, and polycystic ovaries, leading to various symptoms and complications such as infertility, metabolic issues, and increased risk of diabetes and heart disease. This study aimed to compare traditional histological methods and ultrasound imaging for consistency in identifying PCOS in a mouse model. The shortest time to construct the PCOS model using letrozole was determined. METHODS: Female C57/BL mice were randomly divided into three groups: Group A received normal saline and a regular diet; Group B received 1 mg/kg/day of letrozole with a regular diet; and Group C received 1 mg/kg/day of letrozole with a high-fat diet. All mice were administered letrozole by intragastric gavage daily for five weeks. The traditional identification method included measuring body weight, examining vaginal smears, monitoring the estrous cycle, measuring serum androgen levels, and performing H&E staining of ovarian tissues. The PCOS model was evaluated using ultrasound imaging to identify and monitor follicles. The significance of the difference between the traditional identification method and the ultrasonic method was calculated using the nonparametric McNemar test, and consistency between the two methods was assessed with the kappa-coefficient test. On this basis, the ultrasound imaging technology was used to monitor the model-making process for 2, 3 and 4 weeks, and to monitor the parameters of the ovary and follicles to judge the shortest time that gavage letrozole caused the appearance of vesicular follicles in the mouse ovary. RESULTS: The traditional identification method showed no PCOS phenotype in group A mice, while groups B and C showed multiple ovarian cystic follicles, indicating successful model induction. The ultrasound imaging results were consistent with the traditional method, showing no PCOS in group A and multiple cystic follicles in groups B and C. The McNemar test revealed no significant difference between the traditional and ultrasonic identification methods. The kappa-coefficient test assessed consistency, yielding a value of 0.903, indicating strong agreement between the methods. The ovarian area, diameter, and the number and diameter of cystic follicles were not significantly changed at two weeks in the letrozole group compared with the control group. At three weeks, there were significant increases in the number and in the diameter of vesicular follicles compared with control cells. At four weeks, the number and diameter, the maximum cross-sectional area and diameter of the ovary were significantly increased compared with the control group. CONCLUSIONS: The ultrasound and traditional methods provide consistent results for identifying PCOS in a mouse model. Construction of the PCOS model by letrozole gavage takes at least three weeks.

Modelling a self-defined CNN for effectual classification of PCOS from ultrasound images.

BACKGROUND: Polycystic Ovary Syndrome (PCOS) is a medical condition that causes hormonal disorders in women in their childbearing years. The hormonal imbalance leads to a delayed or even absent menstrual cycle. Women with PCOS mainly suffer from extreme weight gain, facial hair growth, acne, hair loss, skin darkening, and irregular periods, leading to infertility in rare cases. Doctors usually examine ultrasound images and conclude the affected ovary but are incapable of deciding whether it is a normal cyst, PCOS, or cancer cyst manually. OBJECTIVE: To have access to the high-risk crucial PCOS and to detect the condition and the treatment aimed at mitigating health hazards such as endometrial hyperplasia/cancer, infertility, pregnancy complications, and the long-term burden of chronic diseases such as cardiometabolic disorders linked with PCOS. METHODS: The proposed Self-Defined Convolution Neural Network method (SD_CNN) is used to extract the features and machine learning models such as SVM, Random Forest, and Logistic Regression are used to classify PCOS images. The parameter tuning is done with lesser parameters in order to overcome over-fitting issues. The self-defined model predicts the occurrence of the cyst based on the analyzed features and classifies the class labels effectively. RESULTS: The Random Forest Classifier was found to be the most reliable and accurate among Support Vector Machine (SVM) and Logistic Regression (LR), with accuracy being 96.43%. CONCLUSION: The proposed model establishes better trade-off compared to various other approaches and works effectually for PCOS prediction.

Effects of different PCOS phenotypes on placental three-dimensional power Doppler indices and placental volume during the first trimester.

INTRODUCTION: The aim of the present study was to evaluate the effects of different polycystic ovary syndrome (PCOS) phenotypes using first-trimester placental three-dimensional power Doppler indices and placental volume. METHODS: In this prospective case-control study, 170 pregnant women who met the inclusion criteria were divided into five groups according to PCOS phenotype: non-PCOS control (n = 34), PCOS phenotype A (n = 34), PCOS phenotype B (n = 34), PCOS phenotype C (n = 34), and PCOS phenotype D (n = 34). The primary outcomes determined in the present study were the differences in placental volume and placental flow index (FI), vascularization flow index (VFI), vascularization index (VI), and uterine artery pulsatility index (PI) betweenthe PCOS groups and control group. RESULTS: The mean placental volume and VI were significantly decreased in the phenotype A, B, and C groups compared to the control group and PCOS phenotype D group. The mean FI and VFI were significantly decreased in the phenotype A and B groups compared to the control group and PCOS phenotype C and D groups. The mean testosterone, dehydroepiandrostenedione, sex-hormone binding globulin, free androgen index, and insulin resistance levels were significantly increased in the phenotype A, B, and C groups compared to the control group and PCOS phenotype D group. DISCUSION: The results indicated that placental volume and placental vascular Doppler indices in the first trimester were more adversely affected in the PCOS A and B phenotypes than other PCOS phenotypes.

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.

Características clínicas en pacientes con menos de 12 folículos ováricos como hallazgo ecográfico / Clinical and ultrasound findings in patients with ovaries with a count of less than 12 follicles

Introducción y objetivos: Determinar los hallazgos clínicos y ecográficos en pacientes que presentan menos de 12 folículos ováricos. Método: Estudio observacional (cohorte histórica) con 505 pacientes seleccionadas mediante muestreo consecutivo, entre el 14 de enero del 2019 y el 15 de marzo del 2021, que consultan por diversas alteraciones ginecológicas. Se generan dos grupos de pacientes, las que presentaron uno a tres folículos en uno de los ovarios (n = 377) y las que presentaban 4 a 11 folículos (n = 128). Se midió como resultado primario la presencia de al menos un signo clínico de hiperandrogenismo. Resultados: De 505 pacientes analizadas, al comparar las que presentaron 4 a 11 folículos en uno de los ovarios (n = 377) con las que presentaban 1 a 3 folículos (n = 128), las primeras mostraron mayor presencia de signos de hiperandrogenismo, endometrio en fase lútea de mayor espesor y un patrón menstrual con uno a cuatro días de sangrado menstrual abundante, diferencias todas estadísticamente significativas (p < 0,05). Conclusión: En pacientes con 4 a 11 folículos en uno de sus ovarios, se observaron signos de hiperandrogenismo, similares al síndrome de ovario poliquístico.

Introduction and objectives: Determine the clinical and ultrasound findings in patients who present less than 12 ovarian follicles in the ultrasound count. Method: Observational study (historical cohort) with 505 patients selected by consecutive sampling, between January 14, 2019 and March 15, 2021, who consulted for different gynecological disorders. Two groups of patients were generated: those with 1 to 3 follicles in one of the ovaries (n = 377) and those with 4 to 11 follicles (n = 128). The primary outcome was the presence of at least one clinical sign of hyperandrogenism. Results: Of 505 patients analyzed, when comparing those who presented 4 to 11 follicles in one of the ovaries (n = 377) with those who presented 1 to 3 follicles (n = 128), the first group showed a greater presence of signs of hyperandrogenism, thicker endometrium in luteal phase and a menstrual pattern with one to four days of heavy menstrual bleeding, all differences were statistically significant (p < 0.05). Conclusion: In patients with 4 to 11 follicles in one of their ovaries, signs of hyperandrogenism, similar to polycystic ovary syndrome, were observed.

Associations of Polycystic Ovary Syndrome With Indicators of Brain Health at Midlife in the CARDIA Cohort.

BACKGROUND AND OBJECTIVES: Polycystic ovary syndrome (PCOS) is a common reproductive disorder associated with an adverse cardiometabolic profile early in life. Increasing evidence links cardiovascular risk factors, such as diabetes and hypertension, to accelerated cognitive aging. However, less is known about PCOS and its relationship to brain health, particularly at midlife. Our goal was to investigate possible associations between PCOS and midlife cognitive function and brain MRI findings in an ongoing prospective study. METHODS: We used data from the Coronary Artery Risk Development in Young Adults (CARDIA) study, a geographically diverse prospective cohort study of individuals who were 18-30 years at baseline (1985-1986) and followed for 30 years. We identified women with PCOS from an ancillary study (CARDIA Women's study (CWS); n = 1,163) as those with elevated androgen levels and/or hirsutism in conjunction with symptoms of oligomenorrhea. At year 30, participants completed cognitive testing, including the Montreal Cognitive Assessment, Rey Auditory Verbal Learning Test (RAVLT) (verbal learning and memory), Digit Symbol Substitution Test (processing speed and executive function), Stroop test (attention and cognitive control), and category and letter fluency tests (semantics and attention). A subset completed brain MRI to assess brain structure and white matter integrity. Multivariable linear regression models estimated the association between PCOS and outcomes, adjusting for age, race, education, and study center. RESULTS: Of the 1163 women in CWS, 907 completed cognitive testing, and of these, 66 (7.1%) met criteria for PCOS (age 54.7 years). Women with and without PCOS were similar for age, BMI, smoking/drinking status, and income. At year 30, participants with PCOS performed lower (mean z score; 95% CI) on Stroop (-0.323 (-0.69 to -7.37); p = 0.008), RAVLT (-0.254 (-0.473 to -0.034); p = 0.002), and category fluency (-0.267 (-0.480 to -0.040); p = 0.02) tests. Of the 291 participants with MRI, 25 (8.5%) met PCOS criteria and demonstrated lower total white matter fractional anisotropy, a measure of white matter integrity (coefficient (95% CI) -0.013 (-0.021 to -0.005); p = 0.002), though not abnormal white matter. DISCUSSION: Our results suggest that women with PCOS have lower cognitive performance and lower white matter integrity at midlife. Additional research is needed to confirm these findings and to determine potential mechanistic pathways including potential modifiable factors.

Ultrasonographic criteria in the diagnosis of polycystic ovary syndrome: a systematic review and diagnostic meta-analysis.

BACKGROUND: Polycystic ovary morphology (PCOM) on ultrasonography is considered as a cardinal feature of polycystic ovarian syndrome (PCOS). Its relevance as a diagnostic criterion for PCOS was reaffirmed in the most recent International Evidence-Based Guideline for the Assessment and Management of PCOS. However, there remains a lack of clarity regarding the best practices and specific ultrasonographic markers to define PCOM. OBJECTIVE AND RATIONALE: The aim of this systematic review and diagnostic meta-analysis was to assess the diagnostic accuracy of various ultrasonographic features of ovarian morphology in the diagnosis of PCOS. SEARCH METHODS: Relevant studies published from 1 January 1990 to 12 June 2023 were identified by a systematic search in PubMed, Web of Science, Scopus, CINAHL, and CENTRAL. Studies that generated diagnostic accuracy measures (e.g. proposed thresholds, sensitivity, specificity) for PCOS using the following ultrasonographic markers met criteria for inclusion: follicle number per ovary (FNPO) or per single cross-section (FNPS), ovarian volume (OV), and stromal features. Studies on pregnant or post-menopausal women were excluded. Risk of bias and applicability assessment for diagnostic test accuracy studies were determined using the QUADAS-2 and QUADAS-C tool for a single index test or between multiple index tests, respectively. Diagnostic meta-analysis was conducted using a bivariate model of pooled sensitivity and specificity, and visualized using forest plots and summary receiver-operating characteristic (SROC) curves. OUTCOMES: From a total of 2197 records initially identified, 31 studies were included. Data from five and two studies were excluded from the meta-analysis due to duplicate study populations or limited data for the index test, leaving 24 studies. Pooled results of 20 adult studies consisted of 3883 control participants and 3859 individuals with PCOS. FNPO was the most accurate diagnostic marker (sensitivity: 84%, CI: 81-87%; specificity: 91%, CI: 86-94%; AUC: 0.905) in adult women. OV and FNPS had similar pooled sensitivities (OV: 81%, CI: 76-86%; FNPS: 81%, CI: 70-89%) but inferior pooled specificities (OV: 81%, CI: 75-86%; FNPS: 83%, CI: 75-88%) and AUCs (OV: 0.856; FNPS: 0.870) compared to FNPO. Pooled results from four adolescent studies consisting of 210 control participants and 268 girls with PCOS suggested that OV may be a robust ultrasonographic marker for PCOS diagnosis albeit the current evidence remains limited. The majority of the studies had high risk of bias for the patient selection (e.g. lack of randomized/consecutive patient selection) and index test (e.g. lack of pre-proposed thresholds for comparison) domains across all ultrasonographic markers. As such, diagnostic meta-analysis was unable to determine the most accurate cutoff for ultrasonographic markers to diagnose PCOS. Subgroup analysis suggested that stratification based on previously proposed diagnostic thresholds, age, BMI, or technology did not account for the heterogeneity in diagnostic accuracy observed across the studies. Studies that diagnosed PCOS using the Rotterdam criteria had improved sensitivity for FNPO. Studies from North America had lower diagnostic accuracy when compared to Asian studies (FNPO: sensitivity) and European studies (OV: specificity, diagnostic odds ratio and positive likelihood ratio). Geographic differences in diagnostic accuracy may potentially be due to differences in age, BMI, and diagnostic criteria of the PCOS group across regions. WIDER IMPLICATIONS: This diagnostic meta-analysis supports the use of FNPO as the gold standard in the ultrasonographic diagnosis of PCOS in adult women. OV and FNPS provide alternatives if total antral follicle counts cannot be accurately obtained. Our findings support the potential for ultrasonographic evidence of PCOM in adolescents as more data becomes available. Subgroup analysis suggests the need to investigate any relative contributions of geographical differences on PCOS phenotypes. These findings may provide the basis for the development of strategies and best practices toward a standardized definition of PCOM and a more accurate ultrasonographic evaluation of PCOS.

Polycystic ovary syndrome and abdominal fat: is there a relationship?

OBJECTIVE: The aim of this study was to compare the distribution of fat tissue in non-obese women with polycystic ovary syndrome and those without the syndrome using dual-energy radiological densitometry. METHODS: This was a case-control study in which we enrolled women aged 14-39 years with polycystic ovary syndrome according to the Rotterdam criteria with a body mass index between 18.5 and 30 kg/m2. The control group comprised women with the same profile, but without polycystic ovary syndrome. Patients were treated at the Endocrinological Gynecology Outpatient Clinic of the Department of Obstetrics and Gynecology of the Irmandade da Santa Casa de Misericórdia de São Paulo between 2019 and 2022. Anthropometric measurements were taken and the assessment of body composition was performed using dual-energy radiological densitometry. RESULTS: The sample comprised 57 women: 37 in the polycystic ovary syndrome group and 20 in the control group. The mean age of the polycystic ovary syndrome group was 24.9 years (±6.9) with a mean body mass index of 60.8 kg/m2 (±8.5), and for the control group, it was 24.2 years (±6.9) with a mean body mass index of 58 kg/m2 (±8.4). Body composition was evaluated using dual-energy radiological densitometry and showed a higher value of trunk fat in the polycystic ovary syndrome group (44.1%, ±9.0) compared to the control group (35.2%, ±11.4), which was statistically significant (p=0.002). CONCLUSION: Our study showed that non-obese polycystic ovary syndrome patients have a higher concentration of abdominal fat, which is a risk factor for increased cardiovascular risk and insulin resistance.ClinicalTrials.gov ID: NCT02467751.

Superb Microvascular Imaging Doppler Technique In The Evaluation Of Ovarian Stromal Vascularity In Women With Polycystic Ovary Syndrome.

OBJECTIVE: To compare the assessment of intra-ovarian stromal vascularity through transabdominal ultrasonography with colour Doppler imaging, power Doppler imaging, colour superb microvascular imaging and monochrome superb microvascular imaging in polycystic ovary syndrome cases. METHODS: The retrospective cross-sectional study was conducted at the Obstetrics and Gynaecology outpatient department of the Usak Training and Research Hospital, Turkey, from April 11 to June 18, 2018, and comprised grayscale colour Doppler imaging, power Doppler imaging, colour superb microvascular imaging and monochrome superb microvascular imaging of women with polycystic ovary syndrome. The recorded video images were evaluated by three radiologists and rated through consensus decision. Mean values for age, body mass index, follicle stimulating hormone and luteinizing hormone levels, luteinizing hormone-follicle stimulating hormone ratio, Ferriman Gallwey score, and mean ovarian volume of the subjects were evaluated. Data was analysed using Number Cruncher Statistical System. RESULTS: Of the 54 women evaluated, data of 42(77.8%) was included. There were a total of 83 ovaries, as the left ovary of 1(1.2%) patient was not visible. The mean age and body mass index were 24.02±5.8 years and 25.08±4.5kg/m2. Mean follicle stimulating hormone and luteinizing hormone levels were 5.51±1.91 and 7.91±6.13m IU/mL. Luteinizing hormone/follicle stimulating hormone ratio and Ferriman Gallwey score were 1.4±0.8 and 8.67 ±6.94, respectively. The mean ovarian volume was 12.2±3.43 cm3. The detection of vascularity was colour Doppler imaging 0.72±0.97, power Doppler imaging 0.96±1.08, colour superb microvascular imaging 2.47±1.25, and monochrome superb microvascular imaging 2.75±1.31. The techniques were significant for superb microvascular imaging Doppler than conventional Doppler (p<0.001). Hyper- ovarian stromal vascularity, like a 'stellate' sign, was detected in 17(20.5%) of the total 83 ovaries analysed. CONCLUSIONS: Transabdominal ultrasonography-colour superb microvascular imaging was found to be more effective in detecting ovarian vascularity than conventional Doppler technique in women with polycystic ovary syndrome.

Association of polycystic ovary syndrome with mammographic density in Turkish women: a population-based case-control study.

OBJECTIVE: The objective of this study was to investigate the breast densities and Breast Imaging-Reporting and Data System scores of patients with polycystic ovary syndrome and normoovulatory women and to determine whether these patients constitute a high-risk population for breast cancer. METHODS: This retrospective case-control study was conducted at our institution between January 2022 and December 2022, involving patients diagnosed with polycystic ovary syndrome. Menstrual periods, hyperandrogenemic findings, and ultrasound reports of the patients were retrieved from our hospital's database. Patients who met at least two of the Rotterdam criteria were included in the polycystic ovary syndrome group. A total of 70 premenopausal patients over the age of 40 years, diagnosed with polycystic ovary syndrome, and 70 normoovulatory women, matched for age and body mass index, were included in the study. The two groups were compared regarding age at menarche, menstrual pattern, gravida, parity, levels of follicle-stimulating hormone, luteinizing hormone, and estradiol, endometrial thickness, breast density category, and Breast Imaging-Reporting and Data System classifications. RESULTS: Patients in the polycystic ovary syndrome group had a higher age at menarche (12.7 vs. 12.3, p=0.006). There was no difference between the gonadotropin levels in both groups. However, the estradiol level was higher in the polycystic ovary syndrome group (p<0.001). There was no statistically significant difference between the two groups in terms of breast density and Breast Imaging-Reporting and Data System scores (p=0.319 and p=0.650, respectively). CONCLUSION: Although we can conclude that the risk of breast malignancy is not increased in patients with polycystic ovary syndrome, the impact of the complex hormonal status of polycystic ovary syndrome on breast cancer remains unclear in the literature.

Deciphering gynaecological pathologies in women with acne and alopecia: an imaging experience.

Polycystic ovarian syndrome manifests acne and alopecia in teenagers and young adult females. To evaluate ovarian morphology and the prevalence of polycystic ovarian morphology (PCOM) in females between the ages of 21 and 45 who are in the reproductive stage and have isolated acne and/or androgenic alopecia. And their association. The present study was done with patients in the age group of 21 to 45 years with acne and/or androgenic alopecia. Modified Ferriman-Gallwey score was used to assess the degree of hirsutism (with score of more or equal to 8 as significant). Grading of acne vulgaris and androgenic alopecia was done by a single observer. Subjects were then evaluated for biochemical investigations of Hormonal assays on day 2 to 7. Transabdominal ultrasonography was performed in the follicular phase to demonstrate the ovarian morphology. In our study isolated androgenic alopecia was present in 28 patients (24.34%). In our study 54 (46.95%) patients out of 115 had combined acne and androgenic alopecia. In our study out of 33 patients with isolated acne 17 (51.5%) had PCO Morphology with grade I, grade II, grade III having prevalence of 46.2%, 53.8% and 57.1% respectively. In our study of the 28 patients with isolated androgenic alopecia 16 (57.1%) had PCOM with grade I, II and III respectively having prevalence of 56.3%, 55.6%, 66.7% with P value of 0.939. Patients with normal ovarian morphology were 12 in number (42.9%). Of the 54 patients with combined acne and androgenic alopecia 32 (59.3%) had PCOM and 22 patients had normal ovarian morphology. Higher overall prevalence was found in patients with combined acne and alopecia (59.3%) than in isolated groups; acne (51.5%), alopecia (57.1%). In our study it was to found that women with dermatological manifestations like acne and androgenic alopecia with regular menstruation. In our study it was found that these women with have high prevalence of PCOS.

Diagnosis values of three-dimensional power Doppler ultrasonography in polycystic ovary syndrome and its relationship with serum sex hormone levels.

BACKGROUND: The diagnosis of polycystic ovary syndrome (PCOS) is of great significance for early detection, timely standardized treatment and prevention of long-term complications. This study aimed to observe and measure the intraovarian blood flow distribution and blood flow indexes in patients with PCOS by three-dimensional power Doppler ultrasonography, and to evaluate its diagnostic value for PCOS and its correlation with serum sex hormone levels. EXPERIMENTAL DESIGN: Patients who were diagnosed with PCOS and met the inclusion and exclusion criteria were recruited as the PCOS group, and 85 age-matched healthy women were arranged in healthy control (HC) group. Participants underwent three-dimensional power Doppler ultrasound. Serum sex hormone was analyzed by chemiluminescence. The diagnostic value was analyzed by relative operating characteristic (ROC) analysis. Spearman correlation coefficient analysis was applied to determine the correlation of vascularization index with serum sex hormone levels. RESULTS: The vascularization index (VI), flow index (FI), and vascularization flow index (VFI) values in PCOS patients were all statistically higher than those of HC. The combined index (0.445 * VI + 0.1 * FI + 1.057 * VFI) has a higher diagnostic value of PCOS compared with the three indexes alone. CONCLUSION: Three-dimensional power Doppler ultrasound could observe and quantitatively evaluate the distribution of blood flow in the ovary, which has a high diagnostic value and might provide a reference in clinical use.

Diagnostic values of MRI indexes for polycystic ovary syndrome.

BACKGROUND: Magnetic resonance imaging (MRI) is a useful non-invasive modality for observation of ovarian morphologic characteristics. Few studies have focused on the value of MRI-derived indexes in reproductive-aged women with polycystic ovary syndrome (PCOS). PURPOSE: To assess the diagnostic value of MRI in women with PCOS. MATERIAL AND METHODS: This prospective case-control study included 85 women with PCOS and 50 controls who underwent pelvic MRI during 2017-2019. Ovarian volume (OV), follicle count (FC; counts of follicles sizing 2-3, 4-6, 7-9, 2-9 mm, respectively), follicular peripheral distribution, absence of a dominant follicle and stromal to total area ratio (S:A) were determined with MRI. The diagnostic value (sensitivity, specificity, area under the receiver operating characteristic curve [AUC]) of OV, FC2-9, and follicular peripheral distribution for PCOS were assessed. RESULTS: The AUCs were 0.94 for OV, 0.96 for FC2-9, and 0.78 for follicular peripheral distribution. The optimal threshold to detect PCOS was 8.5 mL for OV (sensitivity 78%; specificity 96%) and 26 for FC2-9 (sensitivity 85%; specificity 98%). Sensitivity and specificity were 73% and 82% for follicular peripheral distribution, respectively. Reproducibility was perfect for OV (ICC = 0.96) and absence of a dominant follicle (k = 0.85), substantial for FC2-9 (ICC = 0.79) and S:A (ICC = 0.69), and moderate for follicular peripheral distribution (k = 0.56). CONCLUSION: Detected by MRI, OV >8.5 mL or FC2-9 >26 are accurate for diagnosing PCOS.

Ovarian volume, not follicle count, is independently associated with androgens in patients with polycystic ovary syndrome.

BACKGROUND: Polycystic ovary syndrome (PCOS) is diagnosed based on chronic anovulation, androgen excess (clinical and/or biochemical), and polycystic ovaries in ultrasound. The aim of the present study was to evaluate which parameters in the transvaginal ultrasound (TVUS) of ovaries could be better associated with concurrent hormonal imbalance in the women with PCOS. METHODS: Using a cross-sectional design, this study focused on 61 subjects (18-40 years) with PCOS. Patients were recruited at three academic hospitals during the 2017-2019 period. PCOS was defined according to the Rotterdam criteria. The association of ovarian morphology with hormonal and metabolic feature was investigated using linear regression models, adjusted for a set of possible confounding variables including age, mensuration status and body mass index (BMI). RESULTS: The mean volume of both ovaries was positively associated with the total testosterone level (ß = 0.025, P value < 0.001), free androgen index (ß = 0.041, P value < 0.001) and luteinizing hormone/follicle stimulating hormone (LH/FSH) ratio (ß = 0.032, P value = 0.004), even after adjustments made for age, mensuration status and BMI (fully-adjusted model). In contrast, in the fully-adjusted model, antral follicle count (AFC), follicle number per ovary (FNPO), ovarian area, stromal area, and ratio of stromal area to ovarian area (S/A) were not associated with androgen levels and LH/FSH ratio. In addition, after full adjustments, ovarian volume, AFC, FNPO, ovarian area, stromal area and S/A were not associated with insulin resistance, which was estimated by the homeostasis model assessment of insulin resistance (HOMA-IR). CONCLUSION: Increased ovarian volume is, thus, highly predictive of hyperandrogenemia and high LH/FSH ratio in PCOS patients.

An extended machine learning technique for polycystic ovary syndrome detection using ovary ultrasound image.

Polycystic ovary syndrome (PCOS) is the most prevalent endocrinological abnormality and one of the primary causes of anovulatory infertility in women globally. The detection of multiple cysts using ovary ultrasonograpgy (USG) scans is one of the most reliable approach for making an accurate diagnosis of PCOS and creating an appropriate treatment plan to heal the patients with this syndrome. Instead of depending on error-prone manual identification, an intelligent computer-aided cyst detection system can be a viable approach. Therefore, in this research, an extended machine learning classification technique for PCOS prediction has been proposed, trained and tested over 594 ovary USG images; where the Convolutional Neural Network (CNN) incorporating different state-of-the-art techniques and transfer learning has been employed for feature extraction from the images; and then stacking ensemble machine learning technique using conventional models as base learners and bagging or boosting ensemble model as meta-learner have been used on that reduced feature set to classify between PCOS and non-PCOS ovaries. The proposed technique significantly enhances the accuracy while also reducing training execution time comparing with the other existing ML based techniques. Again, following the proposed extended technique, the best performing results are obtained by incorporating the "VGGNet16" pre-trained model with CNN architecture as feature extractor and then stacking ensemble model with the meta-learner being "XGBoost" model as image classifier with an accuracy of 99.89% for classification.

Application of a new ultrasound criterion for the diagnosis of polycystic ovary syndrome.

Objective: To define which ultrasound criteria could replace the classic Rotterdam criteria as the best indicator of the risk of developing endocrine-metabolic changes in women with polycystic ovary syndrome (PCOS). Materials and methods: This multicenter cross-sectional study included 200 women with PCOS and one control group of 111 women without PCOS. The primary outcomes to be considered were follicular count, hirsutism, total testosterone levels, free androgen index (FAI), and insulin sensitivity (HOMA-IR), and the secondary outcome was the anti-Müllerian hormone (AMH) level. Results: The main finding in this study points toward a different ultrasound criterion-23 or more follicles of any size in at least one ovary, which is postulated as an alternative to the classic criterion described in the Rotterdam consensus. This criterion correlates better with the other two PCOS criteria and also identifies women at increased risk of hirsutism (Ferriman-Gallwey score: 6.08 ± 3.54 vs. 4.44 ± 3.75, p < 0.0001), total testosterone levels (2.24 ± 0.298 vs. 1.42 ± 1.530, p = 0.0001), FAI (4.85 ± 0.83 vs. 2.12 ± 1.93, p < 0.001), and insulin resistance (HOMA-IR: 1.74 ± 0.182 vs. 1.504 ± 0.230, p = 0.001) more accurately. Regarding AMH, large differences in their mean values were observed between the groups (7.07 vs. 4.846 ng/ml, p = 0.000). However, these differences depended on age. Conclusion: The ovarian ultrasound examination with 23 or more follicles of any size in any of the ovaries constitutes a powerful tool to accurately diagnose PCOS and to associate it with metabolic-endocrine processes such as hyperandrogenism and insulin resistance.

Image Analysis of TVCDS in Infertile Patients with Polycystic Ovary Syndrome.

In order to analyze and examine the TVCDS images of infertile patients, this paper conducted an in-depth study based on the symptoms of polycystic ovary syndrome. Through the sample size estimation method, mathematical analysis, and other methods, the image examination of the polycystic ovary in TVCDS was successfully analyzed. 86 cases of infertile patients with PCS were divided into a control group treated with clomiphene alone and an observation group treated with clomiphene combined with TCM periodic therapy, with 43 patients in each group. The therapeutic effects of the two groups were compared and analyzed. Results show that the treatment effective rate and pregnancy success rate of the observation group were 95.35% and 88.37%, respectively, and those of the control group were 83.72% and 76.74%, respectively. The difference between the two groups was statistically significant (P < 0.05). It was understood that the main pathogenesis of polycystic ovary syndrome is the abnormal balance of kidney, qi, and blood meridians. Thus, the balance of kidney-anemone-chong Ren-uprisal is broken and the result is infertility symptoms or irregular menstruation. After a study on TVCDS in infertile patients, it was observed that the levels of progesterone (P) and luteinizing hormone (LH) in patients with irregular menstruation were significantly increased. The increase was higher than that in the control group, with an overall negative rate of 4.00%, compared with 18.00% of the control group, showing a significant difference. It also indicates that TVCDS image examination has a very significant effect on improving menstrual irregularities and reducing the incidence of adverse reactions.

Early Clinical, Biochemical and Radiological Features in Obese and Non-Obese Young Women with Polycystic Ovarian Syndrome: A Comparative Study.

Polycystic ovarian syndrome (PCOS) is a heterogenous condition accounting for serious health complications. The present study was conducted to assess the early clinical, biochemical, and radiological features in obese, non-obese young women with PCOS as compared to non-PCOS women. The study was conducted on 120 young women (18-22 years) with 80 having features of PCOS [40 obese (BMI≥25 kg/m2) and 40 non-obese (BMI<25 kg/m2) PCOS] as cases and 40 without PCOS as controls in a rural tertiary care center of Northern India over one year (2017-2018). After enrolment of cases and control, the anthropometric measurements, early clinical symptoms, and biochemical and ultrasonographic features were compared between the groups. Statistical analysis was done using SPSS software version 22.0 (p-value<0.05). A significant difference in anthropometric measurements were observed between obese and non-obese PCOS cases. Clinical features like acne, acanthosis nigricans, and hirsutism were more prevalent in obese PCOS as compared to non-obese and controls. On ultrasound, PCOS cases had a significantly increased number of peripherally arranged ovarian follicles, and ovarian volume. The LH: FSH ratio was significantly higher in cases as compared to controls. The levels of serum LH (10.04±1.60 vs. 8.93±2.40 mIU/ml) and total testosterone (2.71±0.39 vs. 2.21±0.39 pg/ml) were higher in obese PCOS as compared to non-obese PCOS cases. In conclusion, clinical, biochemical, and radiological features can be used in the early diagnosis of PCOS. Obesity is an independent risk factor for PCOS and is associated with an increased risk of complications.