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

Polydeep Advance I: Prospective Diagnostic Tests Trial with a Paired Study Design

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT05514301
Enrollment
205
Registered
2022-08-24
Start date
2023-01-30
Completion date
2023-04-11
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, Computer-Aided detection System (CAD)

Brief summary

This study is a clinical validation of Polydeep, a computer-aided polyp detection (CADe) and characterization (CADx) system. Polydeep Advance 1 is an unicentric prospective diagnostic tests trial with a paired study design. The hypothesis of the study is that Polydeep, a CAD system, is more sensitive than a blinded endoscopists for the detection of colorectal polyps in a high definition colonoscopy.

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 international classification has proposed the use of high definition endoscopes that have Narrow Band Imaging. 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, it 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. It 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 1 is to perform the clinical validation within a diagnostic test trial with a paired study design. We will compare the sensitivity of Polydeep to endoscopists blinded to Polydeep in high definition colonoscopy.

Interventions

DIAGNOSTIC_TESTSensitivity of Polydeep vs high experienced endoscopists for colorectal polyp detection

Both diagnostic interventions will be performed in all patients 1. High definition colonoscopy performed by high experienced endoscopists blinded to Polydeep. 2. Polydeep: a CADe and CADx system. The gold standard will be the histological diagnosis of the lesion.

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
NA
Intervention model
SINGLE_GROUP
Primary purpose
DIAGNOSTIC
Masking
NONE

Intervention model description

A high definition colonoscopy will be performed by a high experienced endoscopists. The endoscopists will be blinded to a second monitor with the Polydeep evaluation. A second observer will annotate the lesions detected during colonoscopy withdrawal and will inform the endoscopists if Polydeep detects a lesion that is not detected by the endoscopists.

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 the informed consent

Exclusion criteria

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

Design outcomes

Primary

MeasureTime frameDescription
Sensitivity of polydeep vs high experienced endoscopist blinded to polydeep1 yearTo compare the sensitivity of Polydeep to a high experienced endoscopist for colorectal polyp detection (adenoma or serrated lesion histologically confirmed)

Secondary

MeasureTime frameDescription
Sensitivity for serrated lesions detection.1 yearTo compare the sensitivity of Polydeep to a high experienced endoscopist for serrated lesions detection
Sensitivity for adenoma detection.1 yearTo compare the sensitivity of Polydeep to a high experienced endoscopist for adenoma detection
Sensitivity for advanced colonic lesions1 yearTo compare the sensitivity of Polydeep to a high experienced endoscopist for advanced colonic lesions (serrated lesions ≥10mm and/or dysplasia, adenoma ≥10mm and/or villous histology and/or high grade dysplasia) detection
Sensitivity for diminute lesions (≤5mm)1 yearTo compare the sensitivity of Polydeep to a high experienced endoscopist for diminute lesions (≤5mm) detection
To compare the diagnostic yield of the optical diagnosis1 yearTo compare diagnostic yield of optic diagnostic of polydeep to high experienced endoscopists.

Countries

Spain

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026