Bakker Jens T, Hartman Jorine E, Klooster Karin, Lynch David A, van der Molen Marieke C, Charbonnier Jean-Paul, Tsiaousis Michail, Vliegenthart Rozemarijn, Slebos Dirk-Jan
University of Groningen, University Medical Center Groningen, Department of Pulmonary Diseases, Groningen, The Netherlands.
University of Groningen, University Medical Center Groningen, Groningen Research Institute for Asthma and COPD, Groningen, The Netherlands.
Eur Radiol Exp. 2024 Aug 1;8(1):87. doi: 10.1186/s41747-024-00491-9.
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.
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.
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).
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.
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.
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.
重度慢性阻塞性肺疾病(COPD)常导致肺过度充气及膈肌扁平。我们自主研发了一种基于计算机断层扫描(CT)的自动化工具,用于量化膈肌形态,这是一种COPD生物标志物,并在一大群COPD患者中进行了测试。
由于直接对膈肌进行分割具有挑战性,我们使用LungQ平台提取肺-膈肌交界处。该工具计算膈肌指数(表面积/投影表面积),作为对COPDGene亚组吸气扫描时膈肌形态的一种度量。对250个随机选择的分割结果进行目视检查作为质量检查。使用方差分析和Pearson相关性分析探讨膈肌指数、慢性阻塞性肺疾病全球倡议(GOLD)分级、预测的1秒用力呼气容积(FEV1)百分比和CT衍生的肺气肿评分之间的关联。
在250个随机选择的病例中,该工具产生了9.2%的不完整分割(2.4%为主要缺陷,6.8%为次要缺陷)。在8431名COPDGene受试者(4240名健康者;4191名COPD患者)中,GOLD分级越高,膈肌指数越低(从不吸烟者1.83±0.16;GOLD-0级1.79±0.18;GOLD-1级1.71±0.15;GOLD-2级:1.67±0.16;GOLD-3级1.58±0.14;GOLD-4级1.54±0.11)(p<0.001)。发现膈肌指数与预测的FEV1百分比(r = 0.44,p<0.001)和肺气肿评分(r = -0.36,p<0.001)之间均存在关联。
我们开发了一种自动化工具来量化胸部CT中的膈肌形态。膈肌指数与COPD严重程度、预测的FEV1百分比和肺气肿评分相关。
由于假设COPD患者膈肌功能障碍与膈肌形态之间存在关联,自动量化膈肌形态可能在评估肺容积减少方面的治疗效果时有用。
重度COPD会使膈肌形态变为扁平状态,阻碍其功能。一种自动化工具可在胸部CT上量化膈肌形态,提供膈肌指数。膈肌指数与COPD严重程度相关,可能有助于治疗评估。