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Trials / Withdrawn

WithdrawnNCT04239638

Analysis of Cervical Spinal MRI With Deep Learning

Status
Withdrawn
Phase
Study type
Observational
Enrollment
0 (actual)
Sponsor
Bezmialem Vakif University · Academic / Other
Sex
All
Age
18 Years – 75 Years
Healthy volunteers
Not accepted

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.

Detailed description

Neck pain is a very common health problem with a worldwide prevalence ranging from 16.7% to 75.1%. The source of neck pain is often considered - although there is no strong evidence - the cervical intervertebral disc. Radiological imaging methods are used for the detection of degeneration of the discs and the end plaque changes in the vertebral body corresponding to this degeneration.Magnetic Resonance Imaging (MRI) gives information about the structure of intervertebral disc, width of spinal canal and tissues outside the canal. However, there is no standardization in the identification and evaluation of radiological images, and interobserver variability is high. Studies have been initiated on automated systems that analyze MRI images to increase the accuracy and consistency of reporting procedures. Examining MRI images with deep learning can lead to the production of systems that help clinical decision making and also allows the evaluation of large data in a short time.

Conditions

Interventions

TypeNameDescription
DIAGNOSTIC_TESTCervical Spinal MRICervical Spinal MRI images of 500 patients will be entered into the system for modeling

Timeline

Start date
2020-01-15
Primary completion
2022-03-01
Completion
2022-04-01
First posted
2020-01-27
Last updated
2022-07-21

Locations

1 site across 1 country: Turkey (Türkiye)

Source: ClinicalTrials.gov record NCT04239638. Inclusion in this directory is not an endorsement.