根据胸部 CT 自动评估慢性阻塞性肺病患者的膈肌结构。

IF 3.7 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
Jens T Bakker, Jorine E Hartman, Karin Klooster, David A Lynch, Marieke C van der Molen, Jean-Paul Charbonnier, Michail Tsiaousis, Rozemarijn Vliegenthart, Dirk-Jan Slebos
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引用次数: 0

摘要

背景:严重的慢性阻塞性肺病(COPD)通常会导致膈肌过度充气和扁平。我们在内部开发了一种基于计算机断层扫描(CT)的自动工具,用于量化横膈膜的形态,这是慢性阻塞性肺病的一种生物标志物:我们使用 LungQ 平台提取肺-膈交点,因为直接分割膈具有挑战性。该工具计算了膈肌指数(表面积/投影表面积),以此衡量 COPDGene 亚队列中吸气扫描的膈肌构型。对随机选取的 250 个切片进行目视检查作为质量检查。使用方差分析和皮尔逊相关性分析探讨了横膈膜指数、慢性阻塞性肺病全球倡议(GOLD)分期、1 秒内用力呼气容积(FEV1)预测百分比和 CT 导出的肺气肿评分之间的关联:在随机抽取的 250 个病例中,有 9.2% 的病例(2.4% 的病例有重大缺陷,6.8% 的病例有轻微缺陷)使用该工具进行了不完全分割。在 8431 名 COPDGene 受试者(4240 名健康人;4191 名 COPD 患者)中,膈肌指数随着 GOLD 阶段的升高而越来越低(从未吸烟者 1.83 ± 0.16;GOLD-0 1.79 ± 0.18;GOLD-1 1.71 ± 0.15;GOLD-2:1.67 ± 0.16;GOLD-3 1.58 ± 0.14;GOLD-4 1.54 ± 0.11)(p 结论:我们开发了一种自动工具来量化膈肌指数:我们开发了一种自动工具来量化胸部 CT 中的横膈膜结构。横膈膜指数与慢性阻塞性肺病严重程度、预测 FEV1% 和肺气肿评分相关:由于假设 COPD 患者的横膈膜功能障碍与横膈膜构型之间存在关系,因此自动量化横膈膜构型可能有助于评估肺容积缩小的治疗效果:要点:严重的慢性阻塞性肺疾病会使横膈膜结构变平,从而阻碍功能的发挥。一种自动工具可量化胸部 CT 上的横膈膜结构,从而得出横膈膜指数。横膈膜指数与慢性阻塞性肺病的严重程度相关,可帮助进行治疗评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Automated evaluation of diaphragm configuration based on chest CT in COPD patients.

Automated evaluation of diaphragm configuration based on chest CT in COPD patients.

Background: Severe chronic obstructive pulmonary disease (COPD) often results in hyperinflation and flattening of the diaphragm. An automated computed tomography (CT)-based tool for quantifying diaphragm configuration, a biomarker for COPD, was developed in-house and tested in a large cohort of COPD patients.

Methods: We used the LungQ platform to extract the lung-diaphragm intersection, as direct diaphragm segmentation is challenging. The tool computed the diaphragm index (surface area/projected surface area) as a measure of diaphragm configuration on inspiratory scans in a COPDGene subcohort. Visual inspection of 250 randomly selected segmentations served as a quality check. Associations between the diaphragm index, Global Initiative for Chronic Obstructive Lung Disease (GOLD) stages, forced expiratory volume in 1 s (FEV1) % predicted, and CT-derived emphysema scores were explored using analysis of variance and Pearson correlation.

Results: The tool yielded incomplete segmentation in 9.2% (2.4% major defect, 6.8% minor defect) of 250 randomly selected cases. In 8431 COPDGene subjects (4240 healthy; 4191 COPD), the diaphragm index was increasingly lower with higher GOLD stages (never-smoked 1.83 ± 0.16; GOLD-0 1.79 ± 0.18; GOLD-1 1.71 ± 0.15; GOLD-2: 1.67 ± 0.16; GOLD-3 1.58 ± 0.14; GOLD-4 1.54 ± 0.11) (p < 0.001). Associations were found between the diaphragm index and both FEV1% predicted (r = 0.44, p < 0.001) and emphysema score (r = -0.36, p < 0.001).

Conclusion: We developed an automated tool to quantify the diaphragm configuration in chest CT. The diaphragm index was associated with COPD severity, FEV1%predicted, and emphysema score.

Relevance statement: Due to the hypothesized relationship between diaphragm dysfunction and diaphragm configuration in COPD patients, automatic quantification of diaphragm configuration may prove useful in evaluating treatment efficacy in terms of lung volume reduction.

Key points: Severe COPD changes diaphragm configuration to a flattened state, impeding function. An automated tool quantified diaphragm configuration on chest-CT providing a diaphragm index. The diaphragm index was correlated to COPD severity and may aid treatment assessment.

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来源期刊
European Radiology Experimental
European Radiology Experimental Medicine-Radiology, Nuclear Medicine and Imaging
CiteScore
6.70
自引率
2.60%
发文量
56
审稿时长
18 weeks
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