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UnknownNCT05691322

Prospective Validation of the DEVA Algorithm for the Prediction of Severe Endometriosis

Status
Unknown
Phase
Study type
Observational
Enrollment
276 (estimated)
Sponsor
One Clinic · Academic / Other
Sex
Female
Age
18 Years – 45 Years
Healthy volunteers
Not accepted

Summary

Endometriosis is a chronic disease affecting 1 in 10 women. Its diagnosis is difficult and the time between the first symptoms and diagnosis is of about 7 years. diagnosis requires specialized imaging performed by referral practitioners for this pathology. According to current recommendations, non-specialized pelvic ultrasound is the recommended first-line examination. However, only reference ultrasound, performed by a doctor specialized in the disease and carried out according to a specific protocol (such as UBESS), is sufficiently reliable for diagnosis. The number of practitioners performing this type of examination is very low in France, which in practice results in a very low reliability of this strategy in real life. Pelvic MRI is also a much more reliable examination, available for review. However its access is limited. In addition, the false positive rate can be as high as 20%, particularly for minor forms of the disease. The DEVA algorithm has been developed for the identification of women with endometriosis based on a self-administered pelvic pain symptom questionnaire (ENDOPAIN). In a preliminary study, this algorithm seems reliable for identify patients at high risk of this disease and would thus allow to triage patients requiring patients requiring an immediate MRI in order to shorten diagnostic delays. External validation of the algorithm is therefore necessary before clinical use. The main objective od this study is the prospective external validation of the diagnostic reliability of the DEVA algorithm used for the detection of women with endometriosis (visible on MRI or transvaginal ultrasound).

Conditions

Interventions

TypeNameDescription
DIAGNOSTIC_TESTtransvaginal ultrasoundTransvaginal ultrasound for endometriosis diagnosis (UBESS)
DIAGNOSTIC_TESTMRIMRI for endometriosis diagnosis (Enzian classification)

Timeline

Start date
2022-10-19
Primary completion
2023-10-19
Completion
2024-01-19
First posted
2023-01-20
Last updated
2023-01-20

Locations

1 site across 1 country: France

Source: ClinicalTrials.gov record NCT05691322. Inclusion in this directory is not an endorsement.