Convolutional Neural Network for the Detection of Cervical Myelomalacia on Magnetic Resonance Imaging
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 入组人数
- 125
- 试验地点
- 1
- 主要终点
- The value of confusion matrix accuracy for sagittal views
研究概览
简要总结
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
详细描述
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.
研究设计
- 研究类型
- Observational
- 观察模型
- Other
- 时间视角
- Retrospective
入排标准
- 年龄范围
- 32 Years 至 77 Years（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •the patients with classical cervical myelomalacia sypmtoms such as neck pain and stiffness, weakness and clumsiness at the upper extremities or gait difficulties and radiological findings of spinal compression
- •30-80 years age.
排除标准
- •Patients with a previous history of cervical spinal surgery and has a systematic disease (rheumatologic or neural disease) .
结局指标
主要结局
The value of confusion matrix accuracy for sagittal views
时间窗: 1 day
It is a specific table layout that allows visualization of the performance of an algorithm.
The value of confusion matrix accuracy for axial views
时间窗: 1 day
It is a specific table layout that allows visualization of the performance of an algorithm.
次要结局
未报告次要终点
研究者
Merve Damla Korkmaz
Principle investigator
Istanbul University