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

NCT03601065 · Status: UNKNOWN · Type: OBSERVATIONAL · Enrollment: 250

Last updated 2018-07-26

No results posted yet for this study

Summary

The aim of the study is to develop a computer program which is able to automatically detect colorectal polyps in endoscopic video sequences. Furthermore, the program shall be able to automatically distinguish between adenomas, serrated adenomas and hyperplastic polyps on the basis of optical features of the polyps. Video sequences of polyps will be collected during routine colonoscopy procedures. All polyps will be resected endoscopically so that histopathological diagnoses (gold standard) can be notified.

In the validation phase of the study a computer program will be established which aims to distinguish between adenomas, serrated adenomas and hyperplastic polyps on the basis of optical features derived from the videos. A deep learning approach will be used for programming. Afterwards, in the testing phase of the study, videos of 100 polyps (not used in the validation phase) will be presented to the computer program. The establishment of a well- functioning computer program is the primary aim of the study.

Conditions

  • Colonic Polyps

Interventions

OTHER

Videos of polyps, resection of polyps

Ther is no study specific intervention. Video sequences will be taken if polyps are found in the colon. Polyps will then be resected routinely.

Sponsors & Collaborators

  • Chair of Computer Aided Medical Procedures & Augmented Reality; Institut für Informatik I16 Technische Universität München

    collaborator UNKNOWN

  • Technical University of Munich

    lead OTHER

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2018-08-31
Primary Completion
2019-07-31
Completion
2019-10-31

Countries

  • Germany

Study Locations

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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 NCT03601065 on ClinicalTrials.gov