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Analysis of Cervical Spinal MRI With Deep Learning

NCT04239638 · Status: WITHDRAWN · Type: OBSERVATIONAL

Last updated 2022-07-21

No results posted yet for this study

Summary

The aim of this study is analyzing the pathologies in cervical spinal MRI images by using image processing algorithms. Determination of these pathological cases which taught to the system with deep learning and determination of their levels. Finally; verification of the system by comparing radiologist reports and automated system outputs.

Conditions

  • Cervical Disc Disease
  • Cervical Spine Disease

Interventions

DIAGNOSTIC_TEST

Cervical Spinal MRI

Cervical Spinal MRI images of 500 patients will be entered into the system for modeling

Sponsors & Collaborators

  • Bezmialem Vakif University

    lead OTHER

Principal Investigators

  • Bugra Ince, MD · Bezmialem Vakif University

Eligibility

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

Timeline & Regulatory

Start
2020-01-15
Primary Completion
2022-03-01
Completion
2022-04-01

Countries

  • Turkey (Türkiye)

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 NCT04239638 on ClinicalTrials.gov