Ultrasound appearance of decidualized non-ovarian endometriotic lesions during pregnancy and after delivery.

OBJECTIVE: To evaluate the changes in the ultrasound characteristics of decidualized non-ovarian endometriotic lesions that occur during pregnancy and after delivery. METHODS: This was a prospective observational cohort study carried out at a single tertiary center between December 2018 and October 2021. Pregnant women with endometriosis underwent a standardized transvaginal ultrasound examination with color Doppler imaging once in every trimester and after delivery. Non-ovarian endometriotic lesions were measured and evaluated by subjective semiquantitative assessment of blood flow. Lesions with moderate-to-marked blood flow were considered decidualized. The size and vascularization of decidualized and non-decidualized lesions were compared between the gravid state and after delivery. Only patients with non-ovarian endometriotic lesion(s) who underwent postpartum examination were included in the final analysis. RESULTS: Overall, 26 pregnant women with a surgical or sonographic diagnosis of endometriosis made prior to conception were invited to participate in the study, of whom 24 were recruited. Of those, 13 women with non-ovarian endometriosis who attended the postpartum examination were included. In 7/13 (54%) cases, the lesion(s) were decidualized. In 4/7 (57%) women with decidualized lesion(s), the size of the largest lesion increased during pregnancy, while in 3/7 (43%), the size was unchanged. The size of non-decidualized lesions did not change during pregnancy. On postpartum examination, only seven lesions were observed, of which three were formerly decidualized and four were formerly non-decidualized. Lesions that were detected after delivery appeared as typical endometriotic nodules and were smaller compared with during pregnancy. The difference in maximum diameter between the gravid and postpartum states was statistically significant in decidualized lesions (P < 0.01), but not in non-decidualized lesions (P = 0.09). The reduction in mean diameter was greater in decidualized compared with non-decidualized lesions (P = 0.03). CONCLUSIONS: Decidualization was observed in 54% of women with non-ovarian endometriotic lesion(s) and resolved after delivery. Our findings suggest that the sonographic features of decidualization, which might mimic malignancy, are pregnancy-related and that expectant management and careful monitoring should be applied in these cases. Clinicians should be aware of the changes observed during pregnancy to avoid misdiagnosing decidualized lesions as malignancy and performing unnecessary surgery. © 2023 The Authors. Ultrasound in Obstetrics & Gynecology published by John Wiley & Sons Ltd on behalf of International Society of Ultrasound in Obstetrics and Gynecology.

Diagnostic accuracy of transvaginal ultrasound for detection of endometriosis using International Deep Endometriosis Analysis (IDEA) approach: prospective international pilot study.

OBJECTIVE: To evaluate the diagnostic accuracy of transvaginal ultrasound (TVS) in predicting deep endometriosis (DE) following the International Deep Endometriosis Analysis (IDEA) consensus methodology. METHODS: This was an international multicenter prospective diagnostic accuracy study involving eight centers across six countries (August 2018-November 2019). Consecutive participants with endometriosis suspected based on clinical symptoms or historical diagnosis of endometriosis were included. The index test was TVS performed preoperatively in accordance with the IDEA consensus statement. At each center, the index test was interpreted by a single sonologist. Reference standards were: (1) direct visualization of endometriosis at laparoscopy, as determined by a non-blinded surgeon with expertise in endometriosis surgery; and (2) histological assessment of biopsied/excised tissue. Surgery was performed within 12 months following the index TVS. Accuracy, sensitivity, specificity, positive and negative predictive values (PPV and NPV) and positive and negative likelihood ratios (LR+ and LR-) of TVS in the diagnosis of DE were calculated. RESULTS: Included in the study were 273 participants with complete clinical, TVS, laparoscopic and histological data. Of these, based on histology, 256 (93.8%) were confirmed to have endometriosis, including superficial endometriosis, and 190 (69.6%) were confirmed to have DE. Based on surgical visualization, 207/273 (75.8%) patients had DE. For DE overall, the diagnostic performance of TVS based on surgical visualization as the reference standard was as follows: accuracy, 86.1%; sensitivity, 88.4%; specificity, 78.8%; PPV, 92.9%; NPV, 68.4%; LR+, 4.17; LR-, 0.15, and the diagnostic performance of TVS based on histology as the reference standard was as follows: accuracy, 85.9%; sensitivity, 89.8%; specificity, 75.9%; PPV, 90.4%; NPV, 74.6%; LR+, 3.72; LR-, 0.13. CONCLUSIONS: Using the IDEA consensus methodology provides strong diagnostic accuracy for TVS assessment of DE. We found a higher TVS detection rate of DE overall than that reported by the most recent meta-analysis on the topic (sensitivity, 79%), albeit with a lower specificity. © 2022 International Society of Ultrasound in Obstetrics and Gynecology.

Learning curve for ultrasonographic diagnosis of deep infiltrating endometriosis using structured offline training program.

OBJECTIVE: To assess the learning curves of trainees during a structured offline/hands-on training program for the ultrasonographic diagnosis of deep infiltrating endometriosis (DIE). METHODS: Four trainees (all Ob/Gyn postgraduates with at least 5 years' experience in ultrasonography in obstetrics and gynecology, but with no experience of sonographic examination of DIE) participated in the study. They underwent a 2-week training program with a single trainer. Day 1 was devoted to theoretical issues and guided offline analysis of 10 three-dimensional ultrasound volumes. During the following days, four sessions of real-time sonographic examinations were performed in a DIE referral center ultrasound unit. In between these sessions, the trainees analyzed four datasets offline, each containing 25 volumes. At the end of each set, misinterpreted volumes were reassessed with the trainer. Presence or absence of DIE at surgery was considered the gold standard. The trainees' learning process was evaluated by learning-curve cumulative summation (LC-CUSUM) and the deviations of the trainees' level of performance at the control stage was assessed by CUSUM (standard CUSUM), for different locations of DIE. RESULTS: The trainees reached competence after an average of 17 (range, 14-21) evaluations for bladder, 40 (range, 30-60) for rectosigmoid, 25 (range, 14-34) for forniceal, 44 (range, 25-66) for uterosacral ligament (USL) and 21 (range, 14-43) for rectovaginal septum (RVS) locations of DIE, and then kept the process under control, with error levels of less than 4.5% until the end of the test. The overall accuracy for each trainee in diagnosis of DIE at the different locations ranged from 0.91 to 0.98 for bladder DIE, from 0.80 to 0.94 for rectosigmoid DIE, from 0.90 to 0.94 for forniceal DIE, from 0.79 to 0.82 for USL DIE and from 0.89 to 0.98 for RVS DIE. CONCLUSIONS: The suggested 2-week training program, based on a mixture of offline and live scanning sessions, is feasible and apparently provides effective training for the ultrasonographic diagnosis of DIE. Copyright © 2018 ISUOG. Published by John Wiley & Sons Ltd.

3-Dimensional demonstration of fetal anal canal and sphincter.

PURPOSE: To identify the fetal anal canal and sphincter using 3-dimensional (3 D) ultrasound. MATERIALS AND METHODS: 3 D volumes of the fetal pelvis were acquired prospectively in 52 fetuses between 10 and 39 gestational weeks. A standard method for evaluating the fetal anal canal and sphincter was developed. Measurements of mucosal and muscular circumferences and the length of the anal canal were taken. RESULTS: The anal canal was demonstrated in 46 out of 50 patients (92 %). The sonographic characteristics of the anal canal in the axial plane appear like a "target sign" with an echogenic mucosa in the center, the hypoechoic internal sphincter muscle surrounding it and an outer echogenic circle reflecting the external sphincter. Measurements of mucosal and internal sphincter circumferences and the length of the anal canal demonstrated linear growth during pregnancy (p < 0.01). One case of anal atresia was demonstrated. CONCLUSION: The fetal anal canal can be visualized when a systematic analysis is performed using a 3 D volume dataset.

How Artificial Intelligence Can Improve Our Understanding of the Genes Associated with Endometriosis: Natural Language Processing of the PubMed Database.

Endometriosis is a disease characterized by the development of endometrial tissue outside the uterus, but its cause remains largely unknown. Numerous genes have been studied and proposed to help explain its pathogenesis. However, the large number of these candidate genes has made functional validation through experimental methodologies nearly impossible. Computational methods could provide a useful alternative for prioritizing those most likely to be susceptibility genes. Using artificial intelligence applied to text mining, this study analyzed the genes involved in the pathogenesis, development, and progression of endometriosis. The data extraction by text mining of the endometriosis-related genes in the PubMed database was based on natural language processing, and the data were filtered to remove false positives. Using data from the text mining and gene network information as input for the web-based tool, 15,207 endometriosis-related genes were ranked according to their score in the database. Characterization of the filtered gene set through gene ontology, pathway, and network analysis provided information about the numerous mechanisms hypothesized to be responsible for the establishment of ectopic endometrial tissue, as well as the migration, implantation, survival, and proliferation of ectopic endometrial cells. Finally, the human genome was scanned through various databases using filtered genes as a seed to determine novel genes that might also be involved in the pathogenesis of endometriosis but which have not yet been characterized. These genes could be promising candidates to serve as useful diagnostic biomarkers and therapeutic targets in the management of endometriosis.