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用于评估局部慢性阻塞性肺疾病严重程度的定量CT评分

Quantitative CT Scoring for Local COPD Severity.

作者信息

Labaki Wassim W, Ram Sundaresh, Namvar Ali, Bell Alexander J, Hoff Benjamin A, Kazerooni Ella A, Galban Stefanie, Martinez Fernando J, Hatt Charles R, Murray Susan, Mirkes Evgeny M, Gorban Alexander N, Zinovyev Andrei, Han MeiLan K, Galban Craig J

出版信息

medRxiv. 2025 May 14:2025.04.09.25324951. doi: 10.1101/2025.04.09.25324951.

Abstract

Chronic obstructive pulmonary disease (COPD) is complex, and its course is difficult to predict due to its diverse pathophysiology. Small airway disease (SAD), a key component of COPD and potential target for emerging therapeutics, may be reversible in mild COPD, but left unchecked, may worsen, leading to airway loss and emphysema. The dual nature of SAD complicates clinical management of COPD patients, necessitating more accurate monitoring methods. To meet this need, we developed elastic Parametric Response Mapping (ePRM), a tiered scoring system that classifies local lung volumes by the degree of PRM-derived SAD, normal, and emphysematous tissue. In individuals with or at risk for COPD, we demonstrate that chest CT ePRM can categorize local lung tissue into distinct tiers of disease severity that distinguish between tissue characterized by early reversible SAD and progressive destruction. This level of characterization is crucial to developing personalized treatment strategies for COPD.

摘要

慢性阻塞性肺疾病(COPD)情况复杂,由于其病理生理学的多样性,其病程难以预测。小气道疾病(SAD)是COPD的一个关键组成部分,也是新兴治疗方法的潜在靶点,在轻度COPD中可能是可逆的,但如果不加以控制,可能会恶化,导致气道丧失和肺气肿。SAD的双重性质使COPD患者的临床管理变得复杂,因此需要更准确的监测方法。为满足这一需求,我们开发了弹性参数反应映射(ePRM),这是一种分级评分系统,可根据PRM衍生的SAD、正常和肺气肿组织的程度对局部肺容积进行分类。在患有COPD或有COPD风险的个体中,我们证明胸部CT ePRM可以将局部肺组织分类为不同级别的疾病严重程度,从而区分以早期可逆性SAD和进行性破坏为特征的组织。这种程度的特征描述对于制定COPD的个性化治疗策略至关重要。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8036/12169157/b7fa283ae021/nihpp-2025.04.09.25324951v5-f0001.jpg

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