Machine Learning-Based Risk Stratification for Fistula Formation After Perianal Abscess Drainage
Trial statusNot yet recruiting
Trial phaseNot listed
Trial typeObservational
Biological sexAll
Age18+
SponsorGumushane State Hospital
About this trial
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.
Eligibility criteria
This trial does not accept healthy volunteersQualifiers
Age ≥ 18
First-time perianal abscess
Surgical drainage performed
Disqualifiers
Existing anal fistula history
Crohn's disease
Immunosuppressive treatment
Incomplete 6-month follow-up
Trial population
Adult patients (≥18 years old) undergoing surgical drainage for their first perianal abscess at a university or state hospital. Participants must not have a history of anal fistula, Crohn's disease, or be under immunosuppressive therapy. Follow-up duration is 6 months after drainage.
Trial design
Design model
Cohort
Time perspective
Prospective
Treatments tested in this trial
Not listed
Trial groups
No trial groups listed
Trial outcomes
Primary outcomes
1
Fistula formation within 6 months
Confirmed by clinical exam, surgical findings, or MR imaging
Time frame
6 monthsSecondary outcomes
1
Correlation between drainage location and fistula rate
Time frame
6 months2
Correlation between provider experience and fistula complexity
Time frame
6 months3
Diagnostic accuracy of AI-based MR analysis vs radiologist
Time frame
6 monthsLocations
Sponsors and contacts
Click on the lead sponsor to view all of their trials.
Source ClinicalTrials.gov
This trial is not recruiting at the moment. You can still explore other options: