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FADEN - early detection of Adenomyosis

FADEN - early detection of Adenomyosis - RACOON-FADEN

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
DRKS
Registry ID
DRKS00034946
Enrollment
208
Registered
2024-09-25
Start date
2024-07-10
Completion date
Unknown
Last updated
2025-10-06

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

N80.0

Interventions

Group 1: Reference collective: MRI in test persons without menstrual cycle associated symptoms Group 2: Study collective: MRI in patients with a high suspicion of Adenomyosis

Sponsors

Charité – Universitätsmedizin Berlin
Lead Sponsor

Eligibility

Sex/Gender
Female
Age
12 Years to 30 Years

Inclusion criteria

Inclusion criteria: -Postmenarchal participants -Regular menstrual cycle (21-35 days)

Exclusion criteria

Exclusion criteria: - Male or diverse gender - Premenarchal children - Postmenopausal women - Irregular cycle - Deep pelvic endometriosis - Known pregnancy - Hormonal contraceptives or other hormone therapies - Intrauterine devices - Malformations of the urogenital tract, surgical interventions, or minimally invasive treatments of the uterus in the past - MRI-specific contraindications (pacemakers, foreign bodies or implants in the pelvis and hip, claustrophobia)

Design outcomes

Primary

MeasureTime frame
The primary endpoint is the distinction between physiological and pathological changes in the uterus for the assessment of early-stage adenomyosis, particularly regarding the thickness of the junctional zone of the uterus.

Secondary

MeasureTime frame
- One of the two examination time points (menstrual phase or ovulatory phase) is superior to the other for differentiating adenomyosis features. - There is an imaging biomarker that correlates better with clinical symptoms than the thickness of the junctional zone. - A combination of imaging biomarkers may surpass the correlation with clinical symptoms compared to measurements of junctional zone thickness. - The assessment of changes in the uterus can be automated and standardized nationwide using artificial intelligence.

Countries

Germany

Contacts

Public ContactMatthias May

Universitätsklinik Erlangen

matthias.may@uk-erlangen.de09131 85-36065

Outcome results

None listed

Source: DRKS (via WHO ICTRP) · Data processed: Feb 4, 2026