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定量计算机断层扫描:在慢性肺部疾病中它能回答哪些临床问题?

Quantitative Computed Tomography: What Clinical Questions Can it Answer in Chronic Lung Disease?

机构信息

Pontificia Universidade Catolica do Rio Grande do Sul, Av. Ipiranga, 6681, Porto Alegre - RS, 90619-900, Brazil.

Department of Radiology, Stanford University, Palo Alto, CA, USA.

出版信息

Lung. 2022 Aug;200(4):447-455. doi: 10.1007/s00408-022-00550-1. Epub 2022 Jun 25.

Abstract

Quantitative computed tomography (QCT) has recently gained an important role in the functional assessment of chronic lung disease. Its capacity in diagnostic, staging, and prognostic evaluation in this setting is similar to that of traditional pulmonary function testing. Furthermore, it can demonstrate lung injury before the alteration of pulmonary function test parameters, and it enables the classification of disease phenotypes, contributing to the customization of therapy and performance of comparative studies without the intra- and inter-observer variation that occurs with qualitative analysis. In this review, we address technical issues with QCT analysis and demonstrate the ability of this modality to answer clinical questions encountered in daily practice in the management of patients with chronic lung disease.

摘要

定量计算机断层扫描(QCT)在慢性肺部疾病的功能评估中最近发挥了重要作用。它在该领域中的诊断、分期和预后评估能力与传统的肺功能测试相似。此外,它可以在肺功能测试参数改变之前显示肺损伤,并且能够对疾病表型进行分类,有助于实现治疗的个体化和比较研究,而不会出现定性分析中存在的观察者内和观察者间变异。在这篇综述中,我们将讨论 QCT 分析中的技术问题,并展示该方式回答在慢性肺部疾病患者管理中日常实践中遇到的临床问题的能力。

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