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AI-Based Stool Image Analysis for Colorectal Neoplasia Risk Assessment (FECAL-AI)

FECAL-AI: Prospective Observational Validation of AI-Based Stool Image Analysis Against Quantitative Fecal Immunochemical Testing for Colorectal Neoplasia Risk Assessment

This prospective observational substudy evaluates the association between artificial intelligence-derived features from stool images analyzed using the FAEX Health digital platform and fecal immunochemical test results in adults undergoing colorectal cancer screening or diagnostic evaluation. Participants will capture stool images using a mobile application. The primary analysis will compare AI-derived image outputs with quantitative FIT values and FIT positivity. Secondary exploratory analyses will assess associations with colonoscopy and histopathological findings when these results are available. The platform will be used exclusively for research and will not provide diagnoses, replace clinical evaluation, or influence medical decisions.

Studieoversigt

Status

Rekruttering

Betingelser

Intervention / Behandling

Detaljeret beskrivelse

This is a substudy of the project "Estrategia de prevención secundaria de cáncer colorrectal en personas mayores a 18 años." The substudy evaluates the FAEX Health digital platform, which applies artificial intelligence algorithms to stool images for non-diagnostic research and validation.

Participants will capture images of their stools using the FAEX Health mobile application. The images will be coded and analyzed using computational algorithms designed to identify visual characteristics such as color, consistency, and possible visible blood.

The primary objective is to evaluate the association and discriminatory performance of AI-derived stool image features for quantitative fecal immunochemical test results and FIT positivity. Secondary exploratory objectives are to assess associations between these image features and colonoscopic and histopathological findings among participants for whom these results are available.

The AI-derived results will not be returned to participants or treating clinicians and will not be used to determine whether colonoscopy or any other clinical procedure is performed. The findings may inform future studies evaluating stool image analysis as a potential triage strategy when FIT is unavailable or declined; however, the present study does not evaluate the platform as a replacement for FIT.

Personal identifiers will not be stored together with stool images. Access to coded study information will be restricted to authorized researchers, and study data will be managed according to applicable ethical, legal, and confidentiality requirements.

Undersøgelsestype

Observationel

Tilmelding (Anslået)

250

Kontakter og lokationer

Dette afsnit indeholder kontaktoplysninger for dem, der udfører undersøgelsen, og oplysninger om, hvor denne undersøgelse udføres.

Studiekontakt

Undersøgelse Kontakt Backup

Studiesteder

    • Santiago Metropolitan
      • Santiago, Santiago Metropolitan, Chile, 8207257

Deltagelseskriterier

Forskere leder efter personer, der passer til en bestemt beskrivelse, kaldet berettigelseskriterier. Nogle eksempler på disse kriterier er en persons generelle helbredstilstand eller tidligere behandlinger.

Berettigelseskriterier

Aldre berettiget til at studere

  • Voksen
  • Ældre voksen

Tager imod sunde frivillige

N/A

Prøveudtagningsmetode

Ikke-sandsynlighedsprøve

Studiebefolkning

Adults receiving care at Hospital Dr. Sótero del Río who are undergoing colorectal cancer screening or diagnostic evaluation and have a quantitative fecal immunochemical test planned or completed. Eligible participants will prospectively submit stool images through the FAEX Health mobile application. AI-derived image features will be compared primarily with matched quantitative FIT results and FIT positivity. Colonoscopy and histopathology findings will be evaluated as secondary exploratory outcomes when available. AI results will not be returned to participants or clinicians and will not influence clinical management.

Beskrivelse

Inclusion Criteria:

  • Age 18 years or older.
  • Referred for screening or diagnostic colonoscopy at Hospital Dr. Sótero del Río.
  • Quantitative fecal immunochemical testing planned or completed within 30 days before or after stool image submission.
  • Able to submit at least one stool image using the FAEX Health mobile application, independently or with assistance.
  • Able and willing to provide written informed consent.

Exclusion Criteria:

  • Unable or unwilling to provide written informed consent.
  • Previous enrollment in the study.
  • Unable to complete stool-image capture, even with assistance.
  • Study images and clinical data cannot be reliably linked using the assigned study code.

Studieplan

Dette afsnit indeholder detaljer om studieplanen, herunder hvordan undersøgelsen er designet, og hvad undersøgelsen måler.

Hvordan er undersøgelsen tilrettelagt?

Design detaljer

Kohorter og interventioner

Gruppe / kohorte
Intervention / Behandling
Prospective Stool Image, FIT and Colonoscopy Cohort
Adults participating in colorectal cancer screening or diagnostic evaluation who submit stool images through the FAEX Health mobile application. AI-derived stool image outputs will be compared primarily with quantitative fecal immunochemical test results and FIT positivity. Colonoscopy and histopathology findings will be evaluated as secondary exploratory outcomes when available. AI-derived results will not be returned to participants or clinicians and will not influence clinical decisions.
Participants capture stool images using the FAEX Health mobile application. Coded images are analyzed using artificial intelligence algorithms to derive visual features and a prespecified patient-level output or score. The AI-derived output is used exclusively for research and is compared primarily with quantitative FIT results and FIT positivity, with secondary comparisons against colonoscopy and histopathology when available. The output is not used to provide a diagnosis or guide clinical management.

Hvad måler undersøgelsen?

Primære resultatmål

Resultatmål
Foranstaltningsbeskrivelse
Tidsramme
Correlation Between AI-Derived Stool Image Score and Quantitative FIT (faecal immunochemical test) Concentration
Tidsramme: Within 90 days of stool image submission
Correlation coefficient between the prespecified patient-level AI-derived stool image score and quantitative fecal immunochemical test concentration among participants with analyzable matched data, reported with a 95% confidence interval.
Within 90 days of stool image submission

Sekundære resultatmål

Resultatmål
Foranstaltningsbeskrivelse
Tidsramme
Area Under the ROC Curve for FIT Positivity
Tidsramme: Within 90 days of stool image submission
Area under the receiver operating characteristic curve of the prespecified AI-derived stool image score for classifying participants as FIT positive or FIT negative according to the locally established FIT threshold, reported with a 95% confidence interval.
Within 90 days of stool image submission
Sensitivity and Specificity of the AI-Derived Stool Image Score for FIT Positivity/Negativity
Tidsramme: Within 90 days of stool image submission
Sensitivity and Specificity of a prespecified AI-derived stool image score threshold for identifying participants with a positive/negative FIT result, reported as a percentage with a 95% confidence interval.
Within 90 days of stool image submission
Area Under the ROC Curve for Colonoscopy-Detected Colorectal Neoplasia
Tidsramme: Within 90 days of stool image submission
Area under the receiver operating characteristic curve of the AI-derived stool image score for identifying colorectal neoplasia detected at colonoscopy, with histopathological confirmation when available.
Within 90 days of stool image submission

Samarbejdspartnere og efterforskere

Det er her, du vil finde personer og organisationer, der er involveret i denne undersøgelse.

Sponsor

Efterforskere

  • Ledende efterforsker: Erik Manriquez Alegria, MD, Hospital Sotero Del Rio

Publikationer og nyttige links

Den person, der er ansvarlig for at indtaste oplysninger om undersøgelsen, leverer frivilligt disse publikationer. Disse kan handle om alt relateret til undersøgelsen.

Generelle publikationer

Datoer for undersøgelser

Disse datoer sporer fremskridtene for indsendelser af undersøgelsesrekord og resumeresultater til ClinicalTrials.gov. Studieregistreringer og rapporterede resultater gennemgås af National Library of Medicine (NLM) for at sikre, at de opfylder specifikke kvalitetskontrolstandarder, før de offentliggøres på den offentlige hjemmeside.

Studer store datoer

Studiestart (Faktiske)

8. maj 2026

Primær færdiggørelse (Anslået)

1. december 2026

Studieafslutning (Anslået)

1. december 2026

Datoer for studieregistrering

Først indsendt

28. juli 2026

Først indsendt, der opfyldte QC-kriterier

28. juli 2026

Først opslået (Faktiske)

31. juli 2026

Opdateringer af undersøgelsesjournaler

Sidste opdatering sendt (Faktiske)

31. juli 2026

Sidste opdatering indsendt, der opfyldte kvalitetskontrolkriterier

28. juli 2026

Sidst verificeret

1. juli 2026

Mere information

Begreber relateret til denne undersøgelse

Andre undersøgelses-id-numre

  • HSR-FAEX-CRC-FIT-2026

Plan for individuelle deltagerdata (IPD)

Planlægger du at dele individuelle deltagerdata (IPD)?

INGEN

IPD-planbeskrivelse

Individual participant data will not be made publicly available or routinely shared with external researchers. The dataset includes coded clinical information and potentially sensitive stool images, and access is restricted by participant consent, ethics approval, applicable data-protection requirements, and the research data-sharing agreement between Hospital Dr. Sótero del Río and Faex Health. Study findings will be reported in aggregate and de-identified form. Any future external secondary use would require separate institutional, ethical, legal, and data-sharing approvals.

Lægemiddel- og udstyrsoplysninger, undersøgelsesdokumenter

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Disse oplysninger blev hentet direkte fra webstedet clinicaltrials.gov uden ændringer. Hvis du har nogen anmodninger om at ændre, fjerne eller opdatere dine undersøgelsesoplysninger, bedes du kontakte register@clinicaltrials.gov. Så snart en ændring er implementeret på clinicaltrials.gov, vil denne også blive opdateret automatisk på vores hjemmeside .