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使用密度演变的局部基础模型评估慢性阻塞性肺疾病(COPD)中肺气肿进展风险

Emphysema progression risk in COPD using a localized foundational model of density evolution.

作者信息

Curiale Ariel H, Pistenmaa Carrie, San José Estépar Rubén, Diaz Alejandro A, Washko George, San José Estépar Raúl

机构信息

Applied Chest Imaging Laboratory, Department of Radiology and Medicine, Brigham and Women's Hospital, Harvard Medical School, 399 Revolution Drive, Somerville, 02145, MA, USA.

Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.

出版信息

NPJ Digit Med. 2025 Aug 28;8(1):556. doi: 10.1038/s41746-025-01917-3.

Abstract

Emphysema progression in chronic obstructive pulmonary disease (COPD) presents a notable challenge due to its significant variability among individuals and the current lack of reliable prognostic markers. Given the limited therapeutic options available for emphysema, there is a critical need for early detection and intervention strategies. Identifying individuals at risk of rapid progression is essential to effectively halt or slow the disease's advancement. This study introduces an innovative approach employing a localized foundational model of density evolution to pinpoint local radiographic embeddings indicative of emphysema progression. Central to our methodology is the Local Emphysema Progression (LEP) score, a novel metric derived from our model that aggregates localized lung tissue activations into a comprehensive, subject-level risk assessment tool. The model's performance was tested on 3728 COPDGene participants, comparing baseline to 5-year, and 1421 scans taken from the 5-year to 10-year interval period. Additionally, our findings were replicated in 1058 ECLIPSE participants. The model effectively identifies lung regions with emphysema progression, achieving an AUC of 0.88. The LEP risk score shows good correlation with the change in the percentage of low attenuation areas below -950 Hounsfield Units (Δ%LAA-950), with correlation values of 0.50 in the COPDGene cohort and 0.40 in the ECLIPSE cohort among subjects with emphysema progression (Δ%LAA-950 > 0). Furthermore, LEP risk score associates with mortality and several COPD outcomes, underscoring its potential as a valuable tool in clinical prognosis and management of emphysema progression in COPD patients.

摘要

在慢性阻塞性肺疾病(COPD)中,肺气肿的进展是一个显著的挑战,因为个体之间存在显著差异,且目前缺乏可靠的预后标志物。鉴于肺气肿的治疗选择有限,迫切需要早期检测和干预策略。识别有快速进展风险的个体对于有效阻止或减缓疾病进展至关重要。本研究引入了一种创新方法,采用密度演化的局部基础模型来确定指示肺气肿进展的局部放射学嵌入。我们方法的核心是局部肺气肿进展(LEP)评分,这是一种从我们的模型中得出的新指标,它将局部肺组织激活汇总为一个全面的个体水平风险评估工具。该模型在3728名COPDGene参与者中进行了测试,比较了基线至5年以及从5年到10年间隔期的1421次扫描。此外,我们的研究结果在1058名ECLIPSE参与者中得到了重复验证。该模型有效地识别出有肺气肿进展的肺区域,曲线下面积(AUC)达到0.88。LEP风险评分与低于-950亨氏单位的低衰减区域百分比变化(Δ%LAA-950)显示出良好的相关性,在肺气肿进展(Δ%LAA-950 > 0)的COPDGene队列中相关性值为0.50,在ECLIPSE队列中为0.40。此外,LEP风险评分与死亡率和几种COPD结局相关,突显了其作为COPD患者肺气肿进展临床预后和管理中有价值工具的潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5fd9/12394540/94ca8a8e2ca9/41746_2025_1917_Fig1_HTML.jpg

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