数字 X 线摄影与计算机断层扫描在脊柱爆裂型骨折诊断中的应用价值分析
浙江大学医学院附属邵逸夫医院
摘要:目的 探讨数字 X 线摄影(DR)与计算机断层扫描(CT)在脊柱爆裂型骨折诊断中的应用效果。方法 选取 2024 年 1 月至 2024 年 12 月收治的 100 例脊柱骨折患者开展研究分析,所有患者在术前均接受 DR、CT 检查,以 CT 造影结果作为“金标准”,对 DR、CT 的诊断结果进行对比。结果 DR 检查时间短于 CT 检查,检查费用低于 CT 检查;CT 检查椎体骨折线、椎管狭窄、椎体移位、骨碎片、脊柱爆裂型骨折符合率相比 DR检查更高;CT 诊断敏感度、特异度、准确率、阳性预测值、阴性预测值均高于 DR 检查,差异存在统计学意义 (P<0.05)。结论 在脊柱爆裂型骨折患者诊断过程中,应用 CT 检查能更加明确患者伤椎状态,其诊断效能相对较高,可作为临床脊柱爆裂型骨折患者诊断的重要手段,但需注意其检查费用相比 DR 更高,且所需检查时间更长。
Abstract: Objective Exploring the application effect of digital radiography (DR) and computed tomography (CT) in the diagnosis of spinal burst fractures. Methods 100 patients with spinal fractures admitted from January 2024 to December 2024 were selected for research and analysis. All patients underwent DR and CT examinations before surgery, and CT angiography results were used as the “gold standard” to compare the diagnostic results of DR and CT. Results DR examination has a shorter examination time and lower examination cost than CT examination. The conformity rate of CT examination for vertebral fracture lines, spinal stenosis, vertebral displacement, bone fragments, and spinal burst fractures is higher than that of DR examination. The sensitivity, specificity, accuracy, positive predictive value, and negative predictive value of CT diagnosis were significantly higher than those of DR examination (P<0.05). Conclusion In the diagnosis process of patients with spinal burst fractures, the application of CT examination enables clearer clarification of the condition of the injured vertebrae, and its diagnostic efficiency is relatively high. It can be used as an important diagnostic tool for clinical spinal burst fracture patients, but it should be noted that its examination cost is higher than DR and the required examination time is longer.
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共 0 条| 文章编号 | 2025-05-060(期号内编号) |
|---|---|
| 栏目 | 检验与方法 |
| 作者 | 许卓尔 |
| 作者单位 | 浙江大学医学院附属邵逸夫医院 |
| 卷期页码 | 2025, (05) |
| 发布时间 | - |
| 出版时间 | - |
| 引用信息 | [1]许卓尔.数字 X 线摄影与计算机断层扫描在脊柱爆裂型骨折诊断中的应用价值分析[J],2025,01(05):. |
| 全文地址 | 在知网查看该文(kns.cnki.net) |
| 数据抓取时间 | 2026-09-22T12:43:23 |