- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT05797207
Evaluation of the Diagnostic Potential of Artificial Intelligence-assisted Fecal Microbiome Testing for Inflammatory Bowel Disease
The goal of this clinical trial is to evaluate the diagnostic potential of Artificial Intelligence-assisted Fecal Microbiome Testing for the diagnosis of inflammatory bowel disease. The main question it aims to answer is:
• Is Artificial Intelligence-assisted Fecal Microbiome Testing a reliable screening test for inflammatory bowel disease?
Participants will be asked to provide fecal samples to be analyzed with next-generation sequencing techniques.
If there is a comparison group: Researchers will compare the diagnostic performance of AI-assisted Fecal Microbiome Testing with colonoscopy to see the correlation between the results of both interventions.
Study Overview
Status
Conditions
Intervention / Treatment
Detailed Description
Inflammatory bowel disease (IBD), which includes Crohn's disease and ulcerative colitis, is a chronic and complex disorder of the gastrointestinal tract that affects millions of people worldwide. IBD is typically diagnosed through a combination of patient history, physical examination, laboratory tests, and imaging studies. However, these methods can be expensive, invasive, and time-consuming, leading to delays in diagnosis and treatment.
Recent research has focused on the potential of using fecal microbiome testing, which analyzes the composition and function of the gut microbiota, as a non-invasive and cost-effective screening tool for IBD. The gut microbiota is a complex ecosystem of microorganisms that plays a critical role in maintaining gut health and immune system function. Changes in the composition or function of the gut microbiota have been associated with the development and progression of IBD.
Artificial intelligence (AI) algorithms can assist in the analysis of fecal microbiome testing data and provide a more accurate and reliable diagnosis of IBD. AI can identify patterns and trends in the complex data generated by microbiome testing that may not be apparent to human analysts, leading to earlier and more accurate diagnosis of IBD.
Furthermore, AI can help identify potential biomarkers of IBD, which could be used for screening and monitoring disease activity. These biomarkers could provide insights into the underlying mechanisms of IBD, leading to the development of more effective therapies and personalized treatment approaches.
Overall, the use of AI-assisted fecal microbiome testing for IBD screening holds significant potential for improving the diagnosis and management of this chronic and debilitating disease.
Study Type
Enrollment (Anticipated)
Phase
- Not Applicable
Contacts and Locations
Study Contact
- Name: Varol TUNALI, Dr.
- Phone Number: 00905556303231
- Email: varoltunali@gmail.com
Study Locations
-
-
Other (Non U.s.)
-
Istanbul, Other (Non U.s.), Turkey, 34230
- Recruiting
- Medipol University Esenler Hospital
-
Contact:
- Naciye Cigdem Arslan, MD
- Phone Number: 05313890975
-
Principal Investigator:
- Naciye Cigdem Arslan
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Description
Inclusion Criteria:
- being over 18 years of age not to be pregnant To apply with the complaint of chronic diarrhea (4 weeks or more) Not meeting any of the exclusion criteria Signing the voluntary consent form
Exclusion Criteria:
- under 18 years old Pregnant or planning to become Acute diarrhea cases Have another known diagnosis of gastrointestinal disease ( malabsorption of any macronutrient, intestinal resection, celiac disease, etc.)
- Abdominal surgery other than appendectomy or hysterectomy history
- Psychiatric comorbidity
- Chronic disease that will affect the microbiome (cancer, diabetes, cardiovascular disease, liver diseases, neurological diseases, etc.)
- Use of drugs that may affect digestive function (including use in the last 4 weeks), probiotics, narcotic analgesics, lactulose (prebiotics) in the 4 weeks before the study
- Patients taking dietary supplements will not be included in the study.
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Diagnostic
- Allocation: N/A
- Interventional Model: Single Group Assignment
- Masking: None (Open Label)
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
---|---|
Experimental: Colonoscopy
Fecal samples will be obtained from patients who are enrolled for colonoscopy procedure for the suspicion of inflammatory bowel disease
|
Next-generation sequencing of fecal samples and artificial intelligence analysis of test results
Colonoscopy procedure
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
The diagnostic accuracy of the AI-assisted fecal microbiome testing in detecting inflammatory bowel disease compared to colonoscopy
Time Frame: 2 weeks
|
The diagnostic accuracy of the AI-assisted fecal microbiome testing in detecting inflammatory bowel disease, as measured by sensitivity, specificity, positive predictive value, negative predictive value, and area under the receiver operating characteristic curve (AUC-ROC).
|
2 weeks
|
Collaborators and Investigators
Collaborators
Investigators
- Principal Investigator: Varol TUNALI, Dr., Celal Bayar University Faculty of Medicine Parasitology Department
Study record dates
Study Major Dates
Study Start (Anticipated)
Primary Completion (Anticipated)
Study Completion (Anticipated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- 2022-12-08
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
Clinical Trials on Inflammatory Bowel Diseases
-
Centre Hospitalier Universitaire, AmiensFunding from DGOS (PHRC IR 2013 and PRME)CompletedPediatric Inflammatory Bowel DiseaseFrance
-
University of British ColumbiaCompletedInflammatory Bowel Disease 11Canada
-
University of ChicagoTerminatedInflammatory Bowel Disease (IBD)United States
-
University of Wisconsin, MadisonTerminatedInflammatory Bowel Disease (IBD)United States
-
Cedars-Sinai Medical CenterUnknownPediatric Inflammatory Bowel Disease
-
Assiut UniversityNot yet recruitingIBD-Inflammatory Bowel Disease
-
University of Wisconsin, MadisonCompletedInflammatory Bowel Disease (IBD)United States
-
Icahn School of Medicine at Mount SinaiNorthwestern University; The Cleveland Clinic; University of California, Davis; RxHealt...RecruitingInflammatory Bowel Disease (IBD)United States
-
Nemours Children's ClinicNASPGHAN FoundationCompletedInflammatory Bowel Disease (IBD)United States
-
Hull University Teaching Hospitals NHS TrustWellcome/EPSRC Centre for Interventional and Surgical Sciences, University...RecruitingInflammatory Bowel Disease 1United Kingdom
Clinical Trials on Artificial Intelligence-assisted Fecal Microbiome Testing
-
Istanbul Medipol University HospitalTepecik Training and Research Hospital; Bozyaka Training and Research Hospital and other collaboratorsRecruitingColon Cancer | Colonoscopy | MicrobiotaTurkey
-
Renmin Hospital of Wuhan UniversityNot yet recruitingEndoscopic UltrasoundChina
-
Seattle Children's HospitalFlorida International UniversityNot yet recruitingAttention Deficit Hyperactivity Disorder
-
Chinese Academy of Medical Sciences, Fuwai HospitalUnknownSleep Apnea | Coronary Heart Disease | Artificial IntelligenceChina
-
The University of Hong KongUniversity Grants Committee, Hong KongRecruiting
-
Shanghai Jiao Tong University School of MedicineCompleted
-
Gazi UniversityTC Erciyes University; Enbiosis BiotechnologyCompleted
-
Side LiuUnknownArtificial Intelligence | ColonoscopyChina
-
Istanbul Medipol University HospitalCompleted
-
The University of Hong KongTan Tock Seng Hospital; Institute of Gastroenterology and Hepatology, VietnamCompletedColon Adenoma | Colon PolypChina, Singapore, Vietnam