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Computer Assisted Selection of Serrated Adenomas and Neoplastic Polyps - a New Clinical DRAft

NCT03550625 · Status: UNKNOWN · Type: OBSERVATIONAL · Enrollment: 300

Last updated 2018-06-08

No results posted yet for this study

Summary

The aim of the study is to develop a computer program which is able to classify different entities of colorectal polyps on the basis of optical polyp features. In the end, the computer program shall differentiate between (i) hypeplastic polyps, (ii) adenomas and (iii) serrated adenomas .

In the first phase of the study a computer program will be established which aims to distinguish between the above mentions entities on the basis of optical features derived from still images. A machine learning apporach will be used for creating the program. Afterwards, in a second phase of the study, still images of 100 polyps (not used in the first phase) will be presented to the computer program. Quality of the computer program will be tested by calculating the accuracy for differentiating the three different polyp types. The gold standard for true polyp diagnoses will be based on histopathological diagnoses of the polyps. The same pictures of 100 polyps will also be presented to human experts. Experts will also predict histopathological diagnoses on the basis of optical polyps featurs. Accuracy of computer-decisions and human expert predictions will be compared. The establishment of a well- functioning computer program is the primary aim of the study.

Conditions

  • Polyps
  • Adenoma Colon
  • Automatic Judgement
  • Colonic Neoplasms

Interventions

DIAGNOSTIC_TEST

Computer program

No study specific intervention. Still images of polyps are collected. Histopathological reports of the resected polyps will be evaluated in order to create a computer program.

Sponsors & Collaborators

  • Technical University of Munich

    lead OTHER

Eligibility

Min Age
18 Years
Max Age
99 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2018-07-15
Primary Completion
2018-12-15
Completion
2019-05-15

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT03550625 on ClinicalTrials.gov