Convolutional Neural Network for the Detection of Cervical Myelomalacia

Status Completed

Clinical Trial Summary

Deep learning technology has been used increasingly in spine surgery as well as in many medical fields. However, it is noticed that most of the studies about this subject in the literature have been conducted except of the cervical spine. In this study, we aimed to demonstrate the effectiveness of the deep learning algorithm in the diagnosis of cervical myelomalacia compared to conventional diagnostic methods. Artificial neural networks, a machine learning technique, have been used in several industrial and research fields increasingly. The development of computational units and the increasing amount of data led to the development of new methods on artificial neural networks

Clinical Trial Description

Cervical myelopathy (CM) is a frequent degenerative disease of the cervical spine that occurs as a result of compression of the spinal cord. In evaluating of this disease and determining treatment options, the patient's clinic and radiological modalities should be evaluated together. The current imaging procedures for CM are plain roentgenograms, computed tomography and magnetic resonance imaging (MRI). However, MRI in CM is more valuable in evaluating of the disc, spinal cord and other soft tissues compared to other imaging methods. Artificial intelligence technologies also used in many health applications such as medical image analysis, biological signal analysis, etc. In this study, we aimed to demonstrate the effectiveness of the deep learning algorithm in the diagnosis of cervical myelomalacia compared to conventional diagnostic methods. ;

Study Design

Related Conditions & MeSH terms

Clinical Trial Details

NCT number	NCT04796987
Study type	Observational
Source	Istanbul University
Contact
Status	Completed
Phase
Start date	April 15, 2021
Completion date	April 22, 2021

View Details

See also
Status	Clinical Trial	Phase
Completed	`NCT03695848` - Prognostic Value of DTI and fMRI of Cervical Myelopathy
Terminated	`NCT00974623` - Bone Graft Materials Observational Registry	N/A
Enrolling by invitation	`NCT04381663` - CSS-Assessing the Course of Degenerative Cervical Spinal Stenosis Using Functional Outcomes
Recruiting	`NCT05163639` - Spinal Cord Associative Plasticity Study	Early Phase 1
Recruiting	`NCT05183971` - Proprioceptive Deficits in Degenerative Cervical Myelopathy
Completed	`NCT02125981` - The Study About the Efficacy of Oral Limaprost After Surgery for Cervical Myelopathy	Phase 3
Withdrawn	`NCT04315090` - Post-surgical Outcomes Measure Using the ERAS Protocol for Posterior Cervical Decompression and Fusion
Not yet recruiting	`NCT05099627` - Machine Learning Diagnosis and Prediction for Cervical Myelopathy
Completed	`NCT04173923` - Long Term Follow-up of Cervical Myelopathy Inpatients Treated With Integrated Complementary and Alternative Medicine
Enrolling by invitation	`NCT05066711` - NuVasive® ACP System Study
Enrolling by invitation	`NCT04770571` - Posterior Cervical Fixation Study
Terminated	`NCT02758899` - Diabetes and Glycosylation in Cervical Spondylosis
Completed	`NCT04962256` - ERAS in Posterior Approach of Cervical Spine Operation
Completed	`NCT04320043` - Adjacent Segment Disease After Anterior Cervical Decompression Surgery
Recruiting	`NCT05446259` - Degenerative Cervical Myelopathy Repository
Completed	`NCT03304236` - Motion Analysis of the Myelopathy Hand: New Insight Into the Classical Sign
Completed	`NCT02842775` - Clinical Evaluation and Rehabilitation System for Dynamic Balance Control in Cervical Myelopathy Patients	N/A
Completed	`NCT01027546` - Effect of Tranexamic Acid on Reducing Postoperative Blood Loss in Cervical Laminoplasty	N/A
Recruiting	`NCT03950349` - FUSION EVALUATION AFTER ANTERIOR CERVICAL DISCECTOMY AND FUSION WITH STAND ALONE LOCKING CAGE WITH BLADE HRCC®
Recruiting	`NCT04968639` - The Characteristic of Axial Pain and EEG Analysis of Patients After Laminoplasty