Analysis of Cervical Spinal MRI With Deep Learning

July 19, 2022 updated by: Bezmialem Vakif University
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.

Study Overview

Status

Withdrawn

Conditions

Intervention / Treatment

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.

Study Type

Observational

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

  • Turkey
      • Istanbul, Turkey
        • Bezmialem Vakif University Hospital

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

18 years to 75 years (Adult, Older Adult)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Sampling Method

Non-Probability Sample

Study Population

Patients with neck pain between 18-75 years

Description

Inclusion Criteria:

  • 18-75 years of age
  • Having result of a cervical spinal MRI, which was performed for neck pain in the hospital records in the last 5 years.

Exclusion Criteria:

  • Malignancy
  • Signs of active infection
  • Significant spinal vertebral deformity (advanced scoliosis, congenital vertebral defects)
  • Spinal surgery

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Accuracy rate of the model as assessed by cross validation of the data set
Time Frame: Through study completion, an average of 1,5 years
We will randomly divide the dataset into 4 subsets. In each sub-experiments, MRI slices from 3 subsets will be trained and slices in the other subset will be tested. We will perform totally 4 sub-experiments, so each slice in the dataset will be tested once.
Through study completion, an average of 1,5 years
Reliability of the model as assessed by comparing the reports of the model and radiologist.
Time Frame: Through study completion, an average of 1,5 years
Kappa statistics and reliability coefficients will be use.
Through study completion, an average of 1,5 years

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

Bezmialem Vakif University

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

General Publications

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

January 15, 2020

Primary Completion (Anticipated)

March 1, 2022

Study Completion (Anticipated)

April 1, 2022

Study Registration Dates

First Submitted

January 15, 2020

First Submitted That Met QC Criteria

January 20, 2020

First Posted (Actual)

January 27, 2020

Study Record Updates

Last Update Posted (Actual)

July 21, 2022

Last Update Submitted That Met QC Criteria

July 19, 2022

Last Verified

July 1, 2022

More Information

Terms related to this study

Additional Relevant MeSH Terms

Other Study ID Numbers

  • 54022451

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

UNDECIDED

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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