使用在日本广泛使用的软件对COVID-19肺炎的胸部计算机断层扫描进行定量分析
Minako Suzuki1, Yoshimi Fujii2, Yurie Nishimura2
1Department of Radiology, Showa University Northern Yokohama Hospital, Yokohama, Kanagawa, Japan.
这项研究优化了Ziostation2软件,用于测量COVID-19肺炎体积比 (PVR) 和CT分数. 优化的PVR测量显示在评估临床严重性的准确性比CT得分更高.
科学领域:
- 医疗成像医学成像
- 放射学 放射学是一门学科.
- 传染性疾病 传染性疾病
背景情况:
- 新型冠状病毒疾病2019 (COVID-19) 构成了全球重大健康挑战.
- 准确评估肺炎的严重程度对于患者的管理至关重要.
- 计算机断层扫描 (CT) 是诊断和监测COVID-19肺炎的关键成像方式.
研究的目的:
- 使用Ziostation2软件确定测量COVID-19患者肺炎体积比率 (PVR) 和CT分数的最佳条件.
- 评估这些测量的临床实用性,以评估COVID-19的严重程度.
- 为了比较PVR和CT得分的诊断性能,预测临床严重程度.
主要方法:
- 对53名COVID-19患者的胸部CT扫描进行了回顾性分析.
- 对PVR和CT得分测量的Ziostation2软件参数 (≥-600 HU值) 的优化.
- 软件衍生得分与视觉评估和诊断性能统计评估 (AUC,尤登指数,灵敏度,特异性) 的比较.
主要成果:
- 确定PVR和CT得分的最佳Ziostation2测量条件为≥-600HU,显示与视觉评估的高度一致.
- 在PVR测量中,与CT得分 (0.77) 相比,用于评估临床严重程度的接收器操作特征曲线 (0.881) 下的区域更大.
- 与CT得分相比,PVR显示出更高的灵敏度 (66.7%) 和特异性 (94.7%),分别为40%和74%.
结论:
- 该研究确定了使用Ziostation2软件量化COVID-19肺炎的最佳条件,特别是PVR.
- 使用Ziostation2优化PVR测量是评估COVID-19临床严重程度的宝贵工具,优于传统CT得分.
- 这种方法具有很高的临床实用性,可以很容易地在现有Ziostation2软件的设施中实施,有助于快速的临床决策.
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