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Validation of the Adenomyosis Calculator

Prospective Validation of a Prediction Model for Diagnosing Adenomyosis With Ultrasound.

Status
Completed
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT04135118
Enrollment
500
Registered
2019-10-22
Start date
2020-01-02
Completion date
2022-09-01
Last updated
2023-12-27

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

Conditions

Adenomyosis, Pelvic Pain Syndrome

Brief summary

Adenomyosis is a disease where ectopic endometrial glands affect the muscular wall of the uterus. Women that suffer from dysmenorrhea or infertility caused by adenomyosis need to confirm or rule out adenomyosis, and therefore tools for non-histologic confirmation of adenomyosis are indubitably required. Transvaginal ultrasound has been shown to be useful in diagnosing adenomyosis, but the interpretation of findings requires significant expertise in ultrasound and experience with diagnosing adenomyosis. This is because adenomyosis shows a very heterogeneous appearance in ultrasound. There are many different diagnostic signs that have to be considered and weighed. In a previous study, the investigators have developed a diagnostic algorithm that helps clinicians diagnose adenomyosis with transvaginal ultrasound and a clinical examination. It showed good diagnostic accuracy and seemed to be very robust with regards to artifacts and experience of the examiner. It is now necessary to validate this prediction model in a new, prospective study so it can be used in clinical practice.

Interventions

None listed

Sponsors

The Hospital of Vestfold
CollaboratorOTHER
University Hospital, Akershus
CollaboratorOTHER
St. Olavs Hospital
CollaboratorOTHER
Turku University Hospital
CollaboratorOTHER_GOV
Oslo University Hospital
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
FEMALE
Age
No minimum to 52 Years
Healthy volunteers
No

Inclusion criteria

* Premenopausal (defined by having had menstruation the last six month) * If amenorrhea with levonorgestrel intrauterine device, the woman should be \< 45 years old * Hysterectomy planned due to a benign condition * Hysterectomy does not require morcellation it is allowed to divide the uterus into 2-3 pieces, given that the orientation of the specimen is still possible for the pathologist) * Written consent is given * Can communicate in Norwegian or English at the Norwegian study sites, and Finnish, Swedish or English at the Finnish study site.

Exclusion criteria

* Gynecological cancer present at the time of inclusion * Use of gonadotropin-releasing hormone agonist or antagonist within the last 3 months prior to the ultrasound evaluation * Prior endometrial ablation or resection * Postmenopausal status or no menstrual bleeding for the last 6 months, or amenorrhea with levonorgestrel-intrauterine device and age \>45 years. * Need for morcellation of the uterus

Design outcomes

Primary

MeasureTime frameDescription
Diagnostic accuracy of the prediction model for adenomyosis1 yearDiagnostic accuracy will be described using sensitivity (in %), specificity (in %), positive predictive value (in %), negative predictive value (in %), positive likelihood ratio (calculated by sensitivity/1-specificity), negative likelihood ratio (calculated as 1-sensitivity/specificity) and the area under the receiver-operator curve (as calculated with the (0-1) of the model.

Secondary

MeasureTime frameDescription
Intraclass correlation coefficient (ICC) between readers2 yearsICC values are categorized as follows: 0-0.20, slight agreement; 0.21-0.40, fair agreement; 0.41-0.60, moderate agreement; 0.61-0.80, substantial agreement; and 0.81-1, almost perfect agreement

Countries

Finland, Norway

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026