Three-dimensional power Doppler imaging in the diagnosis of polycystic ovary syndrome

Australasian sonographers' knowledge, awareness, and attitudes towards the international evidence-based guidelines for the diagnosis of polycystic ovarian syndrome

Introduction/Purpose

Many guidelines have been utilised to diagnose polycystic ovarian syndrome (PCOS). The most recent are the International Evidence Based Guideline for the Assessment and Management of Polycystic Ovary Syndrome 2018 (2018 IEBG). This study aimed to assess the awareness, knowledge, and attitudes of Australasian sonographers' regarding these guidelines.

Methods

An online cross-sectional survey was disseminated to sonographers. Qualitative and quantitative questions were asked around awareness, knowledge, and attitudes towards the 2018 IEBG. Statistical and thematic analyses of the results were performed.

Results

Ninety responses were included in the final analysis. Fifty-two percent (52.2%) of participants were aware of the 2018 IEBG but only 31.1% used it in their workplaces. Fifty-eight percent (57.9%) of participants correctly identified the sonographic features that suggest PCOS, and 3.5% correctly identified all minimum recommended inclusions for reporting a gynaecological ultrasound for PCOS. Prior to being supplied the 2018 IEBG, 15.8% of participants correctly answered clinical scenario-based knowledge questions, which increased to 29.4% correctly after being supplied the guideline; however, this difference was not statistically significant. There were no statistically significant associations between demographics and knowledge of the 2018 IEBG.

Discussion

Several areas of confusion surrounding wording and interpretation of the 2018 IEBG were highlighted. Consideration should be given to barriers of implementation and strategies to overcome these.

Conclusion

More education surrounding the sonographic diagnosis of PCOS and the 2018 IEBG is needed. Scanning protocols used amongst sonographers varied, suggesting that inconsistency in sonographic diagnosis may exist. Future reviews of the 2018 IEBG should focus on reducing ambiguity in wording, which may be responsible for some of the varied interpretation of these guidelines.

Nomogram model for predicting early onset of chronic kidney disease using color Doppler region of interest technique

PURPOSE

The risk factors of chronic kidney disease were analyzed by using the region of interest quantitative technology of color Doppler combined with QLab software, and a Nomogram was established to conduct an individualized assessment of patients with chronic kidney disease.

METHODS

A total of 500 patients with chronic kidney disease diagnosed in our hospital from June 2019 to March 2021 were selected as the chronic kidney disease group, and 300 healthy patients during the same period were selected as the control group. Univariate analysis was performed on the test indexes and the vascularity index, flow index, and vascularization flow index measured by the color doppler region of interest quantitative technique. The above meaningful indicators were included in the Logistics regression analysis to obtain the independent risk factors of early chronic kidney disease. The independent risk factors were imported into R software to draw a Nomogram model for predicting early chronic kidney disease and evaluate the model.

RESULTS

Single factor analysis results suggest age, hypertension, diabetes, hyperlipidemia, disease of heart head blood-vessel, body mass index, vascularity index, flow index, and vascularization flow index, fasting blood sugar, triglyceride, total cholesterol, urea nitrogen, creatinine, uric acid, glomerular filtration rate differences statistically significant (P < 0.05). Logistics regression analysis showed that hypertension, diabetes, flow index, and vascularization flow index, urea nitrogen, and albumin were independent risk factors for the early occurrence of chronic kidney disease. The C-index of this Nomogram using independent risk factors is 0.896 (95%CI 0.862-0.930), which indicates that the Nomogram has good discriminant power. The receiver operating curve of the histograph was area under the curve (AUC) 0.884 (95%CI 0.860-0.908). The receiver operator characteristic curve (ROC) of urea nitrogen, albumin, flow index, and vascularization flow index were evaluated. The results indicated that the best cutoff value of urea nitrogen was 5.9 mmol/L, flow index was 14.67, vascularization flow index was 4.6, and albumin was 40.26 g/L.

CONCLUSION

In the prediction of chronic kidney disease I-II stage, the quantitative technique of color Doppler region of interest has certain diagnostic value. The model established in this study has good discriminative power and can be applied to clinical practice, giving certain indicative significance.

Colour Doppler evaluation of uterine and ovarian blood flow in patients of polycystic ovarian disease and post-treatment changes

AIM

To assess the morphology and colour Doppler parameters in patients with polycystic ovarian syndrome (PCOS) and also to assess the changes in Doppler parameters in follow-up patients, who underwent treatment.

MATERIALS AND METHODS

The study was conducted on 50 women of reproductive age who had clinical and biochemical findings suggestive of PCOS. Clinico-hormonal parameters were recorded. Ultrasound and colour Doppler flow measurements of bilateral ovaries were performed in the early proliferative phase of the menstrual cycle. After assessment of the bilateral ovaries, colour Doppler ultrasound was used to evaluate the main uterine artery at the cervico-uterine junction. Follow-up imaging after 3 months was undertaken in patients who underwent treatment (metformin) and changes in the imaging and hormonal parameters were correlated.

RESULTS

The mean value of luteinising hormone (LH) and the ratio of LH: follicle-stimulating hormone (FSH) was significantly higher in PCOS patients. Ultrasound parameters were significantly higher in PCOS patients. Ovarian stromal vessels in PCOS patients had a significantly higher peak systolic velocity (PSV), low resistance index (RI), and pulsatility index (PI). The PSV of uterine arteries were significantly decreased and the RI and PI were significantly increased. On follow-up patients revealed changes in hormonal parameters.

CONCLUSION

PCOS is a heterogeneous disorder and is a convergence of multisystem endocrine derangements. Ultrasound is good diagnostic tool for PCOS and the use of Doppler aids in the evaluation of haemodynamic changes in small vessels of utero-ovarian circulation and in response assessment.

Sonographic association of polycystic ovaries with intraovarian arterial pulsatility and resistive index

The aim of the research is to know the sonographic association of polycystic ovaries with intraovarian arterial pulsatility index (PI) and resistive index (RI).We observed the PI and resistive index (RI) of 50 polycystic ovarian syndrome (PCOS) and 50 normal individuals. Polycystic ovary was seen with gray scale transabdominal and endo-vaginal sonography and labeled according to the developed sonographic criteria. The results were correlated and cross tabulated with independent sample t-test to determine the existing relationship among them. According to the results, PI and RI of the intraovarian artery were seen to decreases during PCOS as compared with the PI and RI of normal group women at the follicular phase. In case of polycystic ovary, the stroma undergoes hyperstimulation as a result of vascular remodeling and hypervascularity. It is concluded that Doppler analysis is very helpful in the diagnosis of PCOS and to give detailed information about the pathophysiology of the hemodynamics of diseased ovary.

Three-dimensional imaging of living transplanted kidney vasculature by 3D color Doppler ultrasonography

Background: It is of clinical importance to display the vasculature of transplanted kidney in three-dimensional (3D) and in non-invasive way. 3D color Doppler ultrasonographic imaging (3D-CDUI) is a non-invasive technique to display the 3D vasculature of living organs. Objective: Probe into characteristics of 3D vasculature of living transplanted kidney by 3D-CDUI, and evaluate the clinical value of 3D-CDUI on monitoring complications after operation of renal transplant. Methods: Nine patients who received allogeneic transplantation of kidney were monitored with 3D-CDUI. The instruments used included ACUSON Sequoia 512 and TomTec computer station of 3D-CDUI. Using magnetic positioning free-hand scanning, the 3D reconstruction and display of renal tissue structure and blood flow were performed off-line. Results: All patients underwent 3D-CDUI examinations without any side effect or complication. When acute rejection occurred, the 3D distribution change of renal blood flow signal could be observed clearly. During treatment of acute necrosis of renal tubules, changes of renal blood flow signal in 3D color Doppler images could be detected earlier compared with 2D color Doppler images. The position of embolized vassels could be diagnosed accurately by 3D-CDUI. Conclusion: The 3D-CDUI was helpful to improve diagnosis level of ultrasonography by monitoring complications after renal transplantation.

Sonographic evaluation of polycystic ovaries

The morphological features of the ovaries in women with polycystic ovary syndrome (PCOS) have been well described by ultrasound imaging technology. These include enlarged ovary size, multiple small follicles of similar size, increased ovarian stromal volume and echogenicity, peripheral distribution of the follicles, and higher stromal blood flow. Ultrasound identification of the presence of polycystic ovarian morphology (PCOM) has been recognized as a component of PCOS diagnosis. With the advance of ultrasound technology, new definition has been proposed recently. There is, however, a paucity of data for the ovarian morphology in normal and PCOS adolescents. Magnetic resonance imaging has the potential to be an alternative imaging modality for diagnosing PCOM in adolescence.

Two- and three-dimensional sonographic and color Doppler techniques for diagnosis of polycystic ovary syndrome. The stromal/ovarian volume ratio as a new diagnostic criterion

OBJECTIVES

The purpose of this work was to study the role of 2-dimensional (2D) and 3-dimensional (3D) sonographic and Doppler techniques in the diagnosis of polycystic ovary syndrome.

METHODS

A total of 112 young adult lean women with polycystic ovary syndrome and 52 healthy volunteers with regular ovulatory cycles, matched for age and body mass index, underwent a detailed history, medical examination, hormonal assay, and 2D and 3D sonographic and Doppler flow ovarian evaluation during the early follicular phase.

RESULTS

The Ferriman-Gallwey score, circulating androgen levels, ovarian volume, and mean number of small subcapsular follicles on 2D and 3D sonography were significantly higher in the patients with polycystic ovary syndrome than the controls (P < .001). A stromal score of 1 or 2 was found in all of the patients but none of the controls. The ovarian stromal/total area ratio was 0.32 or higher in 104 of 112 of the patients (93%), which was significantly higher than in the controls (P < .001). On Doppler analysis, the lowest ovarian stromal resistance levels were found in the patients. On 3D sonography, the total ovarian stromal volume, ovarian stroma/total ovarian volume ratio, and stromal mean grayness were significantly higher in the patients than the controls. With 3D power Doppler imaging, ovarian vascularization measurements were significantly lower in the controls than the patients. The ovarian stroma/total ovarian volume ratio was the most accurate predictor of both hyperandrogenemia (area under the curve, 0.915; P < .0001) and hirsutism (area under the curve, 0.891; P < .0001).

CONCLUSIONS

Our data strongly support the use of 3D sonography with analysis of stromal volume and vascularization in the diagnosis of polycystic ovary syndrome.

Doppler imaging in the diagnosis of ovarian disease

INTRODUCTION

Pelvic ultrasonography remains the non-invasive imaging modality of choice for detecting and characterising adnexal masses. The use of Doppler ultrasound has improved the differential diagnosis of ovarian disease and helped to widen the understanding of the aetiology and possible pathophysiology of the various underlying conditions with an aim of improved diagnosis and management.

AREAS COVERED

This review describes the basis of different Doppler techniques and their application in ovarian disease. The present evidence is critically analysed in an attempt to define the current role of Doppler ultrasound of the ovaries. The technique holds promise in certain ovarian diseases but remains controversial in others.

EXPERT OPINION

Doppler ultrasound has a role in both the clinical and research settings. Clinically, it can be used to differentiate benign and malignant disease and help confirm diagnoses suggested on grey-scale imaging giving the user more confidence. Its use here, however, is generally restricted to a subjective impression of colour flow rather than a quantitative analysis of vascularity or blood flow velocity. These measures are more relevant in the research setting where quantitative Doppler is being used to clarify the possible underlying aetiology of various ovarian diseases such as polycystic ovarian syndrome and benign cysts. Doppler ultrasound has also been used in various models to evaluate the response to ovarian stimulation and the effect of surgery on the ovary.

Evaluation of the intraobserver and interobserver reliability of data acquisition for three-dimensional power Doppler angiography of the whole placenta at 12 weeks gestation

The aim of this study was to investigate the intra- and interobserver reproducibility of three-dimensional (3-D) power Doppler (3-DPD) data acquisition from women at 12 weeks gestation, which were then subsequently measured by a single observer. Women with an uncomplicated, viable singleton pregnancy were scanned between 12 + 0 and 13 + 6 weeks gestations with a Voluson 730 Expert. 3-DPD data were acquired of the whole placenta by two observers: the first observer captured two datasets and the second a single dataset. Each dataset was analysed using VOCAL in the A plane with 9 degree rotation steps. Eighteen low risk women were recruited with a total of 54 datasets analysed. The intraclass correlation coefficient (ICC) was highest for the vascular indices vascularisation index (VI) and vascularisation-flow index (VFI), greater than 0.75. ICC for flow index (FI) showed moderate correlation at 0.47 to 0.65. Bland Altman plots showed the most precise vascular index to be the FI (-15% to 10% for interobserver agreement). There was no bias between datasets. Prospective studies are now required to identify if this analysis tool and method is sensitive enough to recognise patients with early-onset placental dysfunction.

Testing ovarian reserve to predict age at menopause

In modern society with women delaying pregnancy, predicting the age of the natural menopause with its preceding infertility will allow making informed choices about when to try starting to have children. Also if premature menopause could be predicted in young women, strategies could be instigated to reduce the long term health risks of early estrogen deficiency. This review examines the physiology of ovarian ageing, with the menopause being the final outcome. Long and short term predictive markers of the age of the menopause and the preceding natural infertility are evaluated. Many subtle changes in the endocrine regulation of ovarian function with advancing age may seem interesting but currently are not clinically useful as a predictive test. Examples are changes in concentrations of estradiol, progesterone, luteinizing hormone (LH) and activin, as well as follicle dynamics. Other features hold more promise. Among these are chronological age, family history, anti-Müllerian hormone (AMH), poor response to in vitro fertilization (IVF), basal follicle-stimulating hormone (FSH) and the antral follicle count for long term prediction. For short term prediction, cycle shortening and occurrence of vasomotor symptoms may prove useful. To date, none of these markers has been found to have sufficient predictive accuracy in individual women. Results of new and ongoing longitudinal studies may provide better predictive models. In particular, use of genetic profiles may add to the accuracy of currently known markers.