Imaging Markers of Chronic Obstructive Pulmonary Disease on Computed Tomography of the Lungs: a Narrative Review.

IF 2.5 4区 医学 Q1 Medicine
Jakub Samkowski, Anna A Wądołowska, Jerzy Walecki
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引用次数: 0

Abstract

Chronic obstructive pulmonary disease (COPD) is a heterogeneous disorder in which spirometry reflects airflow limitation but incompletely captures the underlying structural injury. Patients with similar spirometric impairment may have markedly different patterns of emphysema, small-airway disease, and pulmonary vascular involvement. Computed tomography (CT) can visualize these abnormalities in vivo and may detect structural changes before overt airflow limitation develops. This narrative review examined whether CT-derived imaging markers provide clinically meaningful information beyond spirometry, particularly for phenotyping, early structural detection, prognostic enrichment, and selective clinical decision support. A focused narrative review of diverse publications in PubMed, published between January 2000 and April 2025, was conducted using COPD-related MeSH terms and free-text keywords. Across the reviewed literature, emphysema, quantified by low-attenuation area and emphysema index, and air-trapping measures showed consistent associations with expiratory volume measures and identified structural abnormalities in symptomatic smokers with preserved spirometry. Airway wall metrics such as wall area percentage distinguished airway-predominant phenotypes and were associated with airflow limitation and chronic bronchitis. CT vascular markers, including small-vessel cross-sectional area and the pulmonary artery-to-aorta ratio, reflected microvascular disease; a pulmonary artery enlargement to aorta ratio greater than 1 independently predicted severe exacerbations. Xenon CT and dual-energy CT added regional ventilation and perfusion information but remain investigational. CT imaging markers add complementary structural, phenotypic, and prognostic information beyond spirometry for established COPD and pre-COPD. Their most supported current role is phenotypic characterization and prognostic enrichment in selected clinical settings, whereas advanced functional CT techniques remain research tools. Routine CT for all patients is not supported by current Global Initiative for Chronic Obstructive Lung Disease (GOLD) guidance.

慢性阻塞性肺疾病在肺部计算机断层扫描上的影像标记:一项叙述性综述。
慢性阻塞性肺疾病(COPD)是一种异质性疾病,其肺活量测定反映气流限制,但不能完全捕获潜在的结构损伤。相似肺活量功能障碍的患者可能有明显不同的肺气肿、小气道疾病和肺血管受累模式。计算机断层扫描(CT)可以在体内看到这些异常,并可以在明显的气流限制发展之前检测到结构变化。这篇叙述性综述研究了ct衍生成像标志物是否提供了除肺活量测定之外的临床有意义的信息,特别是在表型、早期结构检测、预后富集和选择性临床决策支持方面。使用与copd相关的MeSH术语和自由文本关键词,对2000年1月至2025年4月期间发表在PubMed上的各种出版物进行了集中的叙述性回顾。在回顾的文献中,肺气肿(通过低衰减面积和肺气肿指数量化)和空气捕获测量显示与呼气量测量一致,并在有症状的吸烟者中通过保存肺活量测定确定结构异常。气道壁指标如壁面积百分比可区分气道显性表型,并与气流受限和慢性支气管炎相关。CT血管标志物,包括小血管截面积和肺动脉主动脉比,反映微血管病变;肺动脉扩张与主动脉之比大于1独立预测严重恶化。氙气CT和双能CT增加了局部通风和灌注信息,但仍处于研究阶段。对于已确诊的慢性阻塞性肺病和COPD前期,CT成像标志物在肺活量测定之外增加了补充性的结构、表型和预后信息。它们目前最受支持的作用是在特定的临床环境中进行表型表征和预后富集,而先进的功能CT技术仍然是研究工具。目前全球慢性阻塞性肺疾病倡议(GOLD)指南不支持对所有患者进行常规CT检查。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Medical Science Monitor
Medical Science Monitor MEDICINE, RESEARCH & EXPERIMENTAL-
CiteScore
6.40
自引率
3.20%
发文量
514
审稿时长
3.0 months
期刊介绍: Medical Science Monitor (MSM) established in 1995 is an international, peer-reviewed scientific journal which publishes original articles in Clinical Medicine and related disciplines such as Epidemiology and Population Studies, Product Investigations, Development of Laboratory Techniques :: Diagnostics and Medical Technology which enable presentation of research or review works in overlapping areas of medicine and technology such us (but not limited to): medical diagnostics, medical imaging systems, computer simulation of health and disease processes, new medical devices, etc. Reviews and Special Reports - papers may be accepted on the basis that they provide a systematic, critical and up-to-date overview of literature pertaining to research or clinical topics. Meta-analyses are considered as reviews. A special attention will be paid to a teaching value of a review paper. Medical Science Monitor is internationally indexed in Thomson-Reuters Web of Science, Journals Citation Report (JCR), Science Citation Index Expanded (SCI), Index Medicus MEDLINE, PubMed, PMC, EMBASE/Excerpta Medica, Chemical Abstracts CAS and Index Copernicus.
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