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Recruiting NCT06550908

Training Physicians to Differentiate the Paris Classification Using Artificial Colon Polyp Images

No phase Interventional Colonic Polyp Colon Adenoma

For patients and families

In plain language

An automatic summary of structured registry data. It is an orientation aid, not a substitute for the official protocol or a physician assessment.

What is being studied
The protocol lists: Lutetia Training Plattform - real images, Lutetia Training Plattform - artifical images.
Who it may be relevant to
Registry conditions: Colonic Polyp, Colon Adenoma. Basic parameters: from 18 years · All.
What needs checking
Age, condition and sex are only basic indicators. Prior treatment, laboratory values and other mandatory requirements appear in the eligibility criteria below.
Where it takes place
Germany
Next step
Save the trial, show it to the treating physician, and confirm current recruitment with the study center. Costs, documents and travel →

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Overview

Training in endoscopy is essential for the early detection of precursors of colorectal cancer. Up to now, this training has been carried out with image collections of findings and in practice when working on patients. The investigators want to use artificial intelligence (AI) to better train doctors to recognise these precursors. By using generative AI, the investigators were able to create realistic images that comply with data protection regulations and whose content can be predefined. Parts of the image can also be regenerated so that it is possible to create different precancerous stages in the same place in the image. In this study the investigators want to train physicians using real images or artificial images in order to compare which version helps classify polyps better.

Interventions

  • Other Lutetia Training Plattform - real images
    Training platform Lutetia offers training the Paris classification using real images of colon polyps.
  • Other Lutetia Training Plattform - artifical images
    Training platform Lutetia offers training the Paris classification using artificial images of colon polyps.

Primary outcome measures

  • Accuracy for Paris classification [Time frame: 9 months]
Secondary outcome measures (4)
  • Range of misclassifications for Paris classification [Time frame: 9 months]
  • Influence of endoscopy experience on accuracy for correct Paris classification [Time frame: 9 months]
  • Influence of time to complete course on accuracy for correct Paris classification [Time frame: 9 months]
  • Influence regular usage of Paris classification on accuracy for correct Paris classification [Time frame: 9 months]

Eligibility criteria

Inclusion criteria

  • Physicians with or without experience in colonoscopy

Criteria are shown verbatim from the registry (in English). Final eligibility is always assessed by the study center.

Healthy volunteers: Yes

Study design

Allocation
Randomized
Model
Parallel assignment
Masking
Open label
Primary purpose
Basic science

Study locations

Germany · 1 center
  • University hospital Würzburg — Würzburg

Identifiers

NCT: NCT06550908 · 2022120701-2

Primary sources (government registries)

View this study on ClinicalTrials.gov ↗