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The construction and application of a prediction model for diagnosis of deep infiltrating endometriosis

The construction and application of a prediction model for diagnosis of deep infiltrating endometriosis

Status
Recruiting
Phases
Early Phase 1
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2000030649
Enrollment
Unknown
Registered
2020-03-08
Start date
2020-04-01
Completion date
Unknown
Last updated
2020-03-09

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

Conditions

endometriosis

Interventions

Gold Standard:Clinical outcome
model&#32
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D.I.E.

Sponsors

Obstetrics and Gynecology hospital of Fudan University
Lead Sponsor

Eligibility

Sex/Gender
Female
Age
15 Years to 49 Years

Inclusion criteria

Inclusion criteria: 1. Retrospective collection was performed from January 2015 to March 2020, and prospective collection will be held from April 2020 to December 2021 at the Obstetrics and Gynecology Hospital of Fudan University,and enrolled patients will be initially diagnosed with endometriosis; 2. Aged 15 to 49 years old; 3. Complete basic initial diagnosis information; 4. Gynaecological examinations are performed in vagino-recto-abdominal examination (married) or anal examinations (unmarried) 5. MRI detection using 3D-SPACE 4. Complete in-patient medical history information, preoperative examination and surgical imaging data; 5. Complete clinical diagnosis and treatment process; 6. Surgery plus drug treatment; 7. The final postoperative diagnosis should be endometriosis and confirmed by histopathological examination; 8. Complete outpatient follow-up data.

Exclusion criteria

Exclusion criteria: 1. Have Received endometriosis-related hormone therapy for more than 3 months before surgery; 2. Surgery is not performed by the fixed attending physician; 3. Pathological diagnosis does not support the evidence of endometriosis.

Design outcomes

Primary

MeasureTime frame
rate of accuracy;Clinical applicability;Discrimination;

Secondary

MeasureTime frame
Diagnosis rate;false negative rate;Misdiagnosis rate;

Countries

China

Contacts

Public ContactXiaofang Yi

Obstetrics and Gynecology Hospital of Fudan University

xyi@fudan.edu.cn+86 15026585241

Outcome results

None listed

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