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Machine Learning-Based Risk Stratification for Fistula Formation After Perianal Abscess Drainage

NCT07019532 · Status: NOT_YET_RECRUITING · Type: OBSERVATIONAL · Enrollment: 450

Last updated 2025-06-13

No results posted yet for this study

Summary

This prospective cohort study investigates the influence of provider experience and drainage location on fistula formation within 6 months following perianal abscess drainage. Additionally, the study explores the role of artificial intelligence (AI)-based interpretation of magnetic resonance (MR) images in early identification of fistula development.

Conditions

  • Perianal Abscess
  • Anal Fistula

Sponsors & Collaborators

  • Gumushane State Hospital

    lead OTHER_GOV

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2025-07-01
Primary Completion
2025-12-01
Completion
2026-06-01

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07019532 on ClinicalTrials.gov