基于CTA成像特征的Nomogram预测模型的价值评估,用于选择孤立的上层中枢动脉剖析的治疗方法
Xiaodong Jiang1, Dongjian Chen1, Qingbin Meng1
1Department of Interventional Radiology, Second Affiliated Hospital of Nantong University, No.666 Shengli Road, Nantong, Jiangsu, 226014, Jiangsu, China.
BMC medical imaging
|October 7, 2024
概括
一个新的Nomogram模型有效地预测了孤立的上层中枢动脉剖析 (ISMAD) 中保守治疗失败. 关键的风险因素包括低的真光残留比率,长的剖析长度和大动脉角度.
科学领域:
- 血管外科 血管外科
- 放射学 放射学是一门学科.
- 预测建模预测建模
背景情况:
- 隔离上层中枢动脉剖析 (ISMAD) 是一种罕见的疾病,需要仔细选择治疗方法.
- 预测保守治疗失败对于最佳的患者管理至关重要.
研究的目的:
- 开发和验证Nomogram预测模型,使用CTA成像功能来选择ISMAD患者的治疗方法.
- 在ISMAD中确定与保守治疗失败相关的独立风险因素.
主要方法:
- 使用了具有症状的ISMAD患者的培训组 (70%) 和验证组 (30%).
- 分析了保守治疗失败的风险因素,以构建Nomogram预测模型.
- 该模型的预测值使用ROC,Hosmer-Lemeshow和DCA进行了评估.
主要成果:
- 较低的真残留比率 (TLRR),较长的剖析长度和较大的SMA/AA角度被确定为保守治疗失败的高风险因素.
- 在Nomogram模型中,训练组中的AUC为0.826的AUC显示出良好的歧视.
- 该模型在训练和验证组中显示出良好的一致性和临床有效性.
结论:
- 较低的TLRR,较长的剖析长度和较大的SMA/AA角度是ISMAD中保守治疗失败的重要预测因素.
- 开发的Nomogram模型在临床上有效预测ISMAD治疗结果.
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