Study of uterine kinetics in nonpregnant women using cine-mode magnetic resonance imaging

Adolescent endometriosis: prevalence increases with age on magnetic resonance imaging scan

OBJECTIVE

To evaluate the prevalence on magnetic resonance imaging (MRI) of ovarian endometrioma (OMA) and deep infiltrating endometriosis (DIE) in adolescents presenting with severe dysmenorrhea.

DESIGN

Prospective study.

SETTING

Clinic.

PATIENT(S)

A total of 345 adolescents aged 12-20 years referred to the radiologic MRI department unit between September 2019 and June 2020.

INTERVENTION(S)

Multiplanar pelvic MRI with cine MRI was performed. Data on the medical history with systematic questioning were collected for each patient before the scan.

MAIN OUTCOME MEASURE(S)

Data on the endometriosis phenotypes (OMA and/or DIE), distribution of anatomical lesions, and adenomyosis were evaluated and recorded using a dedicated MRI spreadsheet. Myometrial contractions were systematically reported for each case. The data were correlated with the characteristics of the patients and severity of painful symptoms evaluated using a visual analog scale.

RESULT(S)

The prevalence rates of endometriosis and adenomyosis were 39.3% (121 patients) and 11.4% (35 patients), respectively. Among the adolescents with endometriosis, 25 (20.7%) presented with OMA, and 107 (88.4%) presented with DIE. The odds ratios (confidence intervals) for each pairwise comparison between the age distributions were 2.3 (1.4-3.8) for 15-18 vs. <15 years of age and 3.3 (1.2-8.5) for 18-20 vs. <15 years of age, highlighting a predominance of cases after 18 years of age. Uterine contractions were visualized in 34.4% of cases, with no particular association with endometriosis. No clinical risk factor was identified as being particularly associated with endometriosis. Notably, the visual analog scale score was the same for cases with and without endometriosis.

CONCLUSION(S)

Severe endometriosis phenotypes (OMA and/or DIE) can be observed in adolescents with intense dysmenorrhea, with a linear increase in prevalence over time resulting in a clear predominance after 18 years of age. Endometriosis in adolescents is a challenging clinical problem with a long delay in diagnosis. Imaging can help reduce this delay in young patients with suggestive symptoms.

CLINICAL TRIAL REGISTRATION NUMBER

NCT05153512.

A predictive model for first-trimester pregnancy inception after IVF-ET based on multimodal ultrasound evaluation of endometrial receptivity

Background

In-vitro fertilization-embryo transfer (IVF-ET) is a commonly used assisted reproductive technology. Its success depends on many factors, including endometrial receptivity. Endometrial receptivity can be evaluated by ultrasound, endometrial biopsy, and magnetic resonance imaging. Compared with the latter two methods, ultrasound has the advantages of wide availability, non-invasiveness, and low cost. Three-dimensional (3D) ultrasound imaging examines endometrial thickness, morphology, and blood vessels, which are associated with the success of embryo implantation. However, there are no reports of endometrial receptivity assessment by 3D ultrasound. Therefore, we aimed to evaluate endometrial receptivity using 3D ultrasound and construct a predictive model for first-trimester pregnancy inception following IVF-ET.

Methods

We performed a prospective observational study on infertile women who underwent IVF-ET between December 2019 and February 2021. These women had 3D ultrasound evaluations, measuring endometrial thickness, volume, pattern, morphology, peristalsis, uterine artery blood flow index, sub-endometrial blood flow index, and distribution pattern. We recorded the occurrence of first-trimester pregnancies in these women. Using Akaike information criterion (AIC) and backward stepwise regression, a first-trimester pregnancy prediction model was constructed based on the minimum AIC value and validated internally and externally.

Results

111 women were enrolled, with 103 included in the analysis. Univariate and multiple logistic regression analyses showed that endometrial thickness and vascularization flow index (VFI) were independent factors associated with the occurrence of a pregnancy. The final prediction model corresponding to the minimum AIC value (65.166) was Y = − 6.131–0.182endometrial thickness + 0.542endometrial volume + 4.374VFI + 0.132age. In the test set, modeling cohort, and external validation cohort, the model showed satisfactory differentiation, with C index of 0.841 (95%CI 0.699–0.817), 0.727 (95%CI 0.619–0.815), and 0.745 (95%CI 0.671–0.840), respectively. The Hosmer–Lemeshow goodness of fit tests reported P = 0.865, 0.139, and 0.070, respectively, indicating a high agreement with the actual IVF-ET outcome. This model reached the highest diagnostic efficiency (sensitivity 88.9%, specificity 75%, Youden index 0.639) at a diagnostic cut-off value of ≥ 0.360.

Conclusions

The predictive model based on endometrial receptivity evaluations by 3D ultrasound had high diagnostic efficiency and could be a simple and effective tool to predict first-trimester pregnancy inception after IVF-ET.

Objective measures of adenomyosis on MRI and their diagnostic accuracy-a systematic review & meta-analysis

INTRODUCTION

Magnetic resonance imaging (MRI) diagnosis of adenomyosis is considered the most accurate non-invasive technique, but remains subjective, with no consensus on which diagnostic parameters are most accurate. We aimed to systematically review the literature on how adenomyosis can be objectively quantified on MRI in a scoping manner, to review the diagnostic performance of these characteristics compared with histopathological diagnosis, and to summarize correlations between measures of adenomyosis on MRI and clinical outcomes.

MATERIAL AND METHODS

We searched databases Pubmed, Embase, and Cochrane for relevant literature up to April 2020 according to PRISMA guidelines. We included studies that objectively assessed adenomyosis on MRI, and separately assessed studies investigating the diagnostic performance of MRI vs histopathology for inclusion in a meta-analysis. The QUADAS-2 tool was used for risk of bias, with many studies showing an unclear or high risk of bias.

RESULTS

Eighty studies were included, of which 14 assessed the diagnostic performance of individual MRI parameters, with four included in the meta-analysis of diagnostic accuracy. Common MRI parameters were: junctional zone (JZ) characteristics, such as maximum JZ thickness-pooled sensitivity 71.6% (95% CI 46.0%-88.2%), specificity 85.5% (52.3%-97.0%); JZ differential-pooled sensitivity 58.9% (95% CI 44.3%-72.1%), specificity 83.2% (95% CI 71.3%-90.8%); and JZ to myometrial ratio-pooled sensitivity 63.3% (95% CI 51.9%-73.4%), specificity 79.4% (95% CI 42.0%-95.4%); adenomyosis lesion size, uterine morphology (pooled sensitivity 42.9% (95% CI 15.9%-74.9%), specificity 87.7%, (95% CI 37.9-98.8) and changes in signal intensity-eg, presence of myometrium cysts; pooled 59.6% (95% CI 41.6%-75.4%) and specificity of 96.1% (95% CI 80.7%-99.3%). Other MRI parameters have been used for adenomyosis diagnosis, but their diagnostic performance is unknown. Few studies attempted to correlate adenomyosis MRI phenotype to clinical outcomes.

CONCLUSIONS

A wide range of objective parameters for adenomyosis exist on MRI; however, in many cases their individual diagnostic performance remains uncertain. JZ characteristics remain the most widely used and investigated with acceptable diagnostic accuracy. Specific research is needed into how these objective measures of adenomyosis can be correlated to clinical outcomes.

4D ultrasound as a method to assess uterine peristalsis

OBJECTIVE

To study uterine peristalsis using step-by-step 4-dimensional (4D) ultrasound assessment video, explore its relationship with progesterone levels in a select in vitro fertilization population, and assess the reproducibility of the technique.

DESIGN

Four-dimensional uterine ultrasound and a retrospective analysis of outcomes in relation with progesterone levels. The videos were also analyzed by a senior doctor, junior doctor, and a nurse for their reproducibility.

SETTING

Instituto Bernabeu of Alicante is a private clinic.

PATIENT(S)

The study included 197 consecutive patients undergoing in vitro fertilization (from 2018 to 2019) with a history of recurrent implantation failure (defined as unsuccessful implantation of a total number of ≥3 blastocysts originated from oocyte donation cycles). Because it is known that most failures are attributed to the quality of the embryo, we deemed it important to explore the potential uterine factors explaining the failures in oocyte donation cycles, the use of which decreases the probability of embryo-related factors influencing it.

INTERVENTION(S)

The participants were evaluated for uterine contractions and serum progesterone levels (10-30 minutes before the embryo transfer procedure). Uterine contractility (UC) was assessed by recording a 6-minute-long video using a 4D mode (Voluson E10; General Electric, Boston, MA), which was performed by a single operator (B.M.).

MAIN OUTCOMES MEASURE(S)

The contractions were seen like waves going through the endometrial cavity. They were counted on a ×15 accelerated recording video. To define high-frequency UC, we separated uterine peristalsis (contractions per minute [cpm]) into quartiles. The highest quartile defined the hypercontractility group (>1.51 cpm; n = 41), considering the remaining quartiles as the normal contractility group (≤1.51 cpm; n = 156). The Mann-Whitney U test was performed. The intraclass correlation coefficient was used to validate variability. P <.05 was considered significant. SPSS version 21.0 was used for the statistical analysis. The institutional review board's approval was obtained.

RESULT(S)

Overall, an average of 1.1 cpm was found in the study population. There were no differences between the groups (hypercontractility vs. normal contractility) in terms of patient age and the presence of any uterine factor (adenomyosis, myomas, adhesions, or polyps). An inverse association was observed between UC and progesterone levels. Low progesterone levels (15.9 vs. 19.5 ng/mL; P = .027) were observed in the HUP and NUP group, respectively. The intraclass correlation coefficient to evaluate the interobserver variability was 0.75 (0.63-0.85; P = .000).

CONCLUSION(S)

Four-dimensional ultrasound assessment provides a dynamic view of uterine contractions, including their directionality and frequency. Even though recurrent implantation failure is yet a title of obscure definition and probably associated with multiple factors, a subgroup of patients with elevated UC associated with "low" progesterone levels may have a potential effect on their outcomes. Four-dimensional scan evaluation of UC constitutes a promising diagnostic tool in clinical practice; however, larger studies confirming our initial results are still pending.