KCT0007931尚未招募未知
Building a machine learning-based evaluation model of pain intensity and treatment prognosis by analyzing epidurogram contrast patterns in patients with lumbar spinal pain.
The Catholic University of Korea, Eunpyeong St. Mary's Hospital0 个研究点目标入组 1,000 人开始时间: 待定最近更新:
试验速览
- 阶段
- 未知
- 状态
- 尚未招募
- 发起方
- 入组人数
- 1,000
研究概览
简要总结
暂无简介。
研究设计
- 研究类型
- Observational Study
入排标准
- 年龄范围
- 15(Year) 至 99(Year)（—）
- 性别
- All
入选标准
- •Patients who performed transforaminal epidural steroid injection(code RSHA10202G, ELA354T) from 1st, April, 2019 until 31st, August, 2022.
排除标准
- •In case of insufficient information such as VAS scores in medical records.
- •A person who cannot take painkillers due to gastrointestinal disorders or medical underlying diseases.
- •In the case where the instrument is identified on the previous history of surgery or PACS image by inserting the instrument in the lumbar spine.
- •Patients whose image quality is so poor that it is difficult to check the needle.
研究者
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