Transvaginal ultrasound for diagnosis of deep endometriosis involving uterosacral ligaments, torus uterinus and posterior vaginal fornix: prospective study

Clues to revising the conventional diagnostic algorithm for endometriosis

Endometriosis is a complex gynecologic disorder characterized primarily by symptoms of pelvic pain, infertility, and altered quality of life. National and international guidelines highlight the diagnostic difficulties and lack of conclusive diagnostic tools for endometriosis. Furthermore, guidelines are becoming questionable at an increasingly rapid rate as new diagnostic techniques emerge. This work aims to provide a knowledge synthesis of the relevance of various diagnostic tools and to assess areas of improvement of conventional algorithms. MEDLINE and Cochrane Library databases were searched from January 2021 to December 2023 using relevant key words. Articles evaluating the diagnostic relevance and performance of various tools were included and independently reviewed by the authors for eligibility. Included studies were assessed using the GRADE and QUADAS-2 tools. Of the 4204 retrieved articles, 26 were included. While anamnesis and clinical examination do contribute to diagnostic accuracy, their level of evidence and impact on the diagnostic process remains limited. Although imaging techniques are recommended to investigate endometriosis, ultrasonography remains highly operator dependent. Magnetic resonance imaging appears to exhibit higher sensitivities than ultrasound. However, concerns persist with regards to the terminology, anatomical definition of lesions, and accuracies of both ultrasound and magnetic resonance imaging. Recently, several biological markers have been studied and cumulative evidence supports the contribution of noncoding RNAs to the diagnosis of endometriosis. Marginal improvements have been suggested for anamnesis, clinical examination, and imaging examinations. Conversely, some biomarkers, including the saliva microRNA signature for endometriosis, have emerged as diagnostic tools which inspire reflection on the revision of conventional diagnostic algorithms.

ACR Appropriateness Criteria® Endometriosis

Endometriosis is a common condition impacting individuals assigned female at birth. Though incompletely understood, the disorder is caused by endometrial-like tissue located outside of the endometrial cavity, associated with inflammation and fibrosis. Clinical presentation is variable, ranging from asymptomatic to severe pelvic pain and infertility. Treatment is determined by the patient's individualized goals and can include medical therapies to temporize symptoms or definitive surgical excision. Imaging is used to help diagnose endometriosis and for treatment planning. The American College of Radiology Appropriateness Criteria are evidence-based guidelines for specific clinical conditions that are reviewed annually by a multidisciplinary expert panel. The guideline development and revision process support the systematic analysis of the medical literature from peer reviewed journals. Established methodology principles such as Grading of Recommendations Assessment, Development, and Evaluation or GRADE are adapted to evaluate the evidence. The RAND/UCLA Appropriateness Method User Manual provides the methodology to determine the appropriateness of imaging and treatment procedures for specific clinical scenarios. In those instances where peer reviewed literature is lacking or equivocal, experts may be the primary evidentiary source available to formulate a recommendation.

The expanding role of sonography for the diagnosis of deep infiltrating endometriosis: Results of a large case series

OBJECTIVE

To investigate the value of the sonographic identification of deep infiltrating endometriosis (DIE) in women presenting with complaints suggestive of DIE. Sonography findings were correlated with subsequent surgical exploration, and histologic verification.

METHODS

A retrospective observational case series was investigated to document the ability of the use of sonography to accurately detect the presence of deep infiltrating endometriosis. The clinical observations were performed consistent with the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) recommendations for observational studies. Recognizing the real-world office setting for this may introduce the importance of the practical clinical aspects of diagnostic procedures in general.

RESULTS

Three-dimensional transvaginal sonography was able to accurately identify deep invasive endometriosis in 92% of the 100 women subjectively complaining of the associated symptoms of endometriosis, who underwent sonography, surgical exploration, and pathologic analysis. Additional sonographic evidence of pelvic pathology was found during the course of this investigation, perhaps complementing other means for diagnosing endometriosis.

CONCLUSION

Three-dimensional transvaginal sonography is a diagnostic tool that can effectively identify deep infiltrating endometriosis, which may otherwise go undetected and untreated. These findings should encourage the use of sonography for the detection of this subtype of endometriosis.

Noninvasive diagnostic imaging for endometriosis part 1: a systematic review of recent developments in ultrasound, combination imaging, and artificial intelligence

Endometriosis affects 1 in 9 women and those assigned female at birth. However, it takes 6.4 years to diagnose using the conventional standard of laparoscopy. Noninvasive imaging enables a timelier diagnosis, reducing diagnostic delay as well as the risk and expense of surgery. This review updates the exponentially increasing literature exploring the diagnostic value of endometriosis specialist transvaginal ultrasound (eTVUS), combinations of eTVUS and specialist magnetic resonance imaging, and artificial intelligence. Concentrating on literature that emerged after the publication of the IDEA consensus in 2016, we identified 6192 publications and reviewed 49 studies focused on diagnosing endometriosis using emerging imaging techniques. The diagnostic performance of eTVUS continues to improve but there are still limitations. eTVUS reliably detects ovarian endometriomas, shows high specificity for deep endometriosis and should be considered diagnostic. However, a negative scan cannot preclude endometriosis as eTVUS shows moderate sensitivity scores for deep endometriosis, with the sonographic evaluation of superficial endometriosis still in its infancy. The fast-growing area of artificial intelligence in endometriosis detection is still evolving, but shows great promise, particularly in the area of combined multimodal techniques. We finalize our commentary by exploring the implications of practice change for surgeons, sonographers, radiologists, and fertility specialists. Direct benefits for endometriosis patients include reduced diagnostic delay, better access to targeted therapeutics, higher quality operative procedures, and improved fertility treatment plans.

Endometriosis and dyspareunia: Solving the enigma

Introduction

Endometriosis is a chronic oestrogen-dependent disease that affects 1 in 10 women of childbearing age. Half of these women have deep dyspareunia. The presence of this symptom has been shown to negatively affect your quality of life. There are few studies in the literature that address this issue and its pathophysiology remains poorly understood.

Materials and methods

A case-control study has been carried out in order to assess the multi-causality of dyspareunia in patients with endometriosis. All the patients were assessed in a unit specialising in endometriosis and pelvic pain and their disease was staged using high-resolution ultrasound following the criteria of the IDEA group. The patients were divided into two groups, patients with dyspareunia n = 45 (cases) and those without it n = 55 (controls).

Results

The only element that was statistically significant in explaining the dyspareunia was the presence of nodules in the retrocervical region with p = 0.000. The odds ratio of dyspareunia in the cases group was 5.3 (95 % CI 2.2-12.5).

Conclusions

Dyspareunia in patients with endometriosis is strongly dependent on the presence of nodules in the retrocervical region, although there are other factors involved that remain unknown, so more studies are still needed to understand and optimally address this symptom.

Anatomical distribution of endometriosis: A cross-sectional analysis of transvaginal ultrasound in symptomatic patients

Purpose

The anatomical distribution of deep endometriosis (DE) is essential in treating patients with symptoms associated with the disease. There is an evidence gap in correlating clinical features and symptoms with disease patterns. The study aimed at determining DE anatomic distribution based on advanced transvaginal ultrasound and describe the relationship with symptoms obtained with the World Endometriosis Foundation Questionnaire.

Methods

A cross-sectional study included 549 ultrasound results and 370 questionnaire responses between July 2018 and January 2021. Descriptive statistics are presented. Continuous variables were compared by a simple t-test and ANOVA and categorical variables by the chi-squared test. Logistic regression and R2 values summarised the relationship between positive ultrasound and possible predictor variables (software SAS version 9.4).

Results

The anatomical locations with signs of endometriosis on ultrasound were the right uterosacral ligament (USL) 23.3% (n = 128), left USL 21.3% (n = 117) and bowel 19.1% (n = 105). Endometriomas in the right and left ovaries (14%, n = 77, and 14.7%, n = 81 respectively), superficial endometriosis in 15.5% (n = 85), torus uterinus in 11.7% (n = 64), Pouch of Douglas (POD) in 9.7% (n = 53), rectovaginal septum in 4.2% (n = 23), vaginal fornix in 3.5% (n = 19). A negative 'sliding-sign' was noted in 25.3% (n = 139), and ovarian medial immobility was noted frequently (left 20.2%, n = 111 and right 16.9%, n = 93). Dyspareunia, dysmenorrhoea, infertility and family history were associated with endometriosis lesions (P < 0.05). Prediction models based on symptomatology presented low discriminatory power.

Discussion

This large real-life cohort associating the description of the anatomical distribution of endometriosis as seen on advanced TVS in symptomatic patients confirmed that uterosacral ligaments, torus uterinus, ovaries and bowel represent the most common anatomical sites of endometriosis. Also, the dynamic abnormalities elicited via ultrasound, such as the uterus 'sliding-sign' and ovarian mobility, remain common. The knowledge of the general locations of identifiable endometriosis on ultrasound and the dynamic abnormalities is essential to sonologists and sonographers in implementing advanced TVS protocols to detect endometriosis. In addition, the different presentations of dyspareunia can be associated with USL and bowel endometriosis. Subfertility might also be associated with USL, ovarian and bowel endometriosis. Nevertheless, prediction models showed suboptimal results.

Conclusions

Endometriosis is mainly distributed in USLs, bowel and ovaries. POD obliteration is frequent. Symptoms can be associated with anatomic locations; however, prediction models showed low clinical applicability.

Effectiveness of ultrasound for endometriosis diagnosis

PURPOSE OF REVIEW

Endometriosis is a chronic benign gynaecological condition characterized by pelvic pain, subfertility and delay in diagnosis. There is an emerging philosophical shift from gold standard histopathological diagnosis through laparoscopy to establishing diagnosis through noninvasive imaging.

RECENT FINDINGS

The ENZIAN classification system was updated in 2021 to be suitable for both diagnostic imaging and laparoscopy. The accuracy of transvaginal ultrasound (TVUS) in diagnosing endometriosis varies depending on location of the lesion. A recent international pilot study found that when ultrasound is performed in accordance with the IDEA consensus, a higher detection of deep endometriosis is seen, with an overall sensitivity of 88% and specificity of 79% compared with direct surgical visualization.

SUMMARY

Although ultrasound can detect adenomyosis, deep endometriosis and endometriomas, it is not possible to reliably detect superficial endometriosis. In the instance of a negative ultrasound with persistence of symptoms despite medical therapy, laparoscopy should be considered for diagnosis and treatment.