肺栓塞列线图预测模型的研究进展
Research Progress on Nomogram Prediction Models for Pulmonary Embolism
DOI: 10.12677/acm.2026.1651842, PDF,   
作者: 彭永明*, 刘 丹#:重庆医科大学附属永川医院放射科,重庆
关键词: 肺栓塞列线图预测模型Pulmonary Embolism Nomogram Prediction Model
摘要: 肺栓塞是临床中常见且致死风险较高的心血管急危重症,传统风险评估工具以固定分级、线性赋值为主,存在个体化预测不足、中危分层能力差、特殊人群适配不佳等不足,难以满足现代诊疗需求。列线图可整合临床特征、实验室标志物、影像学参数等指标,实现个体化风险概率的可视化预测,成为肺栓塞早期诊断、危险分层与预后评估的重要研究手段。本文就列线图在肺栓塞中应用现状及研究进展进行综述。
Abstract: Pulmonary embolism is a common, highly fatal acute cardiovascular emergency. Traditional risk assessment tools rely on fixed grading and linear assignment, which fall short in individualized prediction, intermediate-risk stratification, and adaptation to special populations, thus failing to meet modern clinical requirements. Nomograms integrate clinical characteristics, laboratory markers, and imaging parameters to provide visualized, individualized risk probability prediction, and have become an important research method for the early diagnosis, risk stratification, and prognosis evaluation of pulmonary embolism. This article reviews the current application and research progress of nomograms in pulmonary embolism.
文章引用:彭永明, 刘丹. 肺栓塞列线图预测模型的研究进展[J]. 临床医学进展, 2026, 16(5): 510-519. https://doi.org/10.12677/acm.2026.1651842

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