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Clinical Validation of PolyDeep: an Artificial Intelligence-based Computer-aided Polyp Detection (CADe) and Characterization (CADx) System. Polydeep Advance 3

PolyDeep Advance 3: Randomized Clinical Trial Comparing High Definition Colonoscopy With PolyDeep Assisted High Definition Colonoscopy.

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT05513261
Enrollment
857
Registered
2022-08-24
Start date
2023-11-17
Completion date
2024-05-14
Last updated
2025-02-24

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

Conditions

Colorectal Cancer

Keywords

Colorectal adenomas, Colorectal polyps, Serrated lesions, Polydeep, computer-aided System

Brief summary

This study is a clinical validation of PolyDeep, a computer-aided polyp detection (CADe) and characterization (CADx) system. PolyDeep Advance 3 is a multicentric randomized clinical trial comparing high definition colonoscopy with PolyDeep assisted high definition colonoscopy. The hypothesis of the study is that the PolyDeep assisted colonoscopy increases the Adenoma Detection Rate (ADR).

Detailed description

Colorectal cancer (CRC) is the most frequently cancer in western world. A fundamental tool for detection and prevention is the colonoscopy. The detection and endoscopic resection of colorectal polyps, the precursor lesion of CRC, can reduce CRC incidence and mortality. Adenoma Detection Rate is the most used endoscopic quality indicator. The improvement of this indicator is related to the reduction of postcolonoscopy CRC incidence and mortality. Colorectal polyp diagnosis is based on endoscopic resection and histological analysis. An accurate optical diagnosis could avoid histological lesion of smaller lesions, reducing the costs associated with histological diagnosis. The NICE (NBI International Colorectal Endoscopic) Classification has proposed use high definition endoscopes that have Narrow Band Imaging (NBI). However, NICE must be used by endoscopists who are sufficiently prepared and who have overcome the learning curve. Therefore, optical histology diagnosis with high accuracy independently of the center and the endoscopist is necessary. Computer Aid Diagnosis (CAD) systems based on Artificial Intelligence are experiencing exponential development in the field of medical image analysis. The development of the CAD system is based on the creation of large databases of endoscopic images and/or videos, on the training, development and validation of diagnostic algorithms in such databases and, finally, on prospective clinical validation in patients undergoing colonoscopy. The goal of CAD systems in colonoscopy is double. First, the CAD system aims to increase the detection of polyps (CADe) in general, and of adenomas and serrated lesions in particular. The second objective is to characterize (CADx) the histology of detected lesion. PolyDeep CAD is a functional prototype. This CAD system is capable of detecting, locating and classifying colorectal polyps. In vivo validation data shows that PolyDeep has high diagnostic accuracy for polyp identification and that this accuracy can be accommodated. The aim of PolyDeep advance 3 is to compare Adenoma Detection Rate differences in a randomized clinical trial. The investigators will compare the Adenoma Detection Rate between high definition colonoscopy and PolyDeep assisted high definition colonoscopy, both in CRC screening and surveillance.

Interventions

DIAGNOSTIC_TESTHigh definition colonoscopy (standard colonoscopy) in Adenoma Detection Rate

In the intervention of this arm the investigators will apply the standard colonoscopy without computer-aided colonoscopy (polyDeep)

DIAGNOSTIC_TESTPolyDeep assisted high definition colonoscopy (CAD system) in Adenoma Detection Rate

In the intervention of this arm the investigators will apply polyDeep assisted high definition colonoscopy (CAD system).

Sponsors

Ministerio de Ciencia e Innovación, Spain
CollaboratorOTHER_GOV
Ministry of Work and Welfare - Xunta de Galicia
CollaboratorOTHER_GOV
Asociación Española de Gastroenterología
CollaboratorOTHER
European Regional Development Fund
CollaboratorOTHER
Fundacin Biomedica Galicia Sur
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
DIAGNOSTIC
Masking
NONE

Intervention model description

Patients who fulfill criteria will be randomly allocated to high definition colonoscopy or Polydeep assisted high definition colonoscopy.

Eligibility

Sex/Gender
ALL
Age
40 Years to 79 Years
Healthy volunteers
No

Inclusion criteria

* First diagnostic colonoscopy performed after a positive fecal immunochemical test performed within the CRC screening program. * Surveillance after resection of colorectal adenomas * Acceptance after reading the information sheet and signing informed consent.

Exclusion criteria

* Colonoscopies with insufficient intestinal cleansing (Boston Bowel Preparation Scale \<6 or \<2 in any of the evaluated segments). * Incomplete colonoscopy without cecal intubation. * Previous CRC * Previous colonic resection. * Hereditary CRC syndromes * Serrated polyposis syndrome

Design outcomes

Primary

MeasureTime frameDescription
Adenoma Detection Rate (ADR)1.5 yearsNumber of colonoscopies with adenomas/total number of colonoscopies. The investigators will evaluate if there are differences between both arms.

Secondary

MeasureTime frameDescription
Polyp detection rate1.5 yearsNumber of colonoscopies with polyps/total number of colonoscopies. The investigators will evaluate if there are differences between both arms.
Serrated lesion detection rate1.5 yearsNumber of colonoscopies with serrated lesions/total number of colonoscopies. The investigators will evaluate if there are differences between both arms.
Advanced lesion detection rate1.5 yearsNumber of colonoscopies with advanced lesions (adenomas≥10mm, villous histology or high grade dysplasia; serrated lesions with dysplasia or ≥10mm) /total number of colonoscopies. The investigators will evaluate if there are differences between both arms.
Withdrawal time:1.5 yearsWithdrawal time between the two arms will be calculated and compared by the investigators
Characterization of the detected lesions.1.5 yearsThe investigators will evaluate the optical diagnosis accuracy of Polydeep for the final histological diagnosis (sensitivity, specificity, positive and negative predictive values).

Countries

Spain

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Jun 24, 2026