PiSlope: A New CT Metric for Quantifying Airway Remodeling in Chronic Obstructive Pulmonary Disease.

IF 12.1 1区 医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Radiology Pub Date : 2024-11-01 DOI:10.1148/radiol.240717
Surya P Bhatt, Arie Nakhmani, Venkata Sthanam, Abhilash Kizhakke Puliyakote, Joseph M Reinhardt, Sandeep Bodduluri
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Abstract

Background Airway wall thickening is commonly quantified at chest CT with Pi10, the square root of the wall area of a hypothetical airway with a luminal perimeter of 10 mm. Although Pi10 has proven to be a useful construct, it assumes uniform thickening of all airways and considers only a single airway level in summarizing airway remodeling, limiting its accuracy. Purpose To evaluate PiSlope, a new metric for the quantification of airway wall thickening. Materials and Methods In this secondary analysis of data from a multicenter prospective study of individuals who currently smoke or formerly smoked as well as healthy volunteers who never smoked enrolled from January 2008 to June 2011 and followed up longitudinally until September 2022, chest CT images were analyzed section by section to quantify the luminal perimeter and airway wall thickness for each visible airway. Linear regression was used to calculate the slope of the luminal perimeter against wall thickness to determine the PiSlope. PiSlope was normalized by the individual's height squared. Multivariable regression was used to test the associations between airway metrics and respiratory outcomes. Results The mean age of the 8199 participants was 59.5 years ± 9.1 (SD), with 53% male and 67% White participants. With increasing disease severity (ie, Global Initiative for Chronic Obstructive Lung Disease stages 0-4), Pi10 increased (4.26 mm ± 0.23, 4.29 mm ± 0.21, 4.43 mm ± 0.26, 4.51 mm ± 0.28, and 4.53 mm ± 0.27, respectively) and PiSlope decreased (0.38 ± 0.10, 0.38 ± 0.10, 0.35 ± 0.11, 0.33 ± 0.10, and 0.31 ± 0.10) (trend test; both P < .001). Multivariable analyses revealed that PiSlope was associated with dyspnea, respiratory quality of life, 6-minute walk distance, exacerbations, lung function decline, and all-cause mortality, with and without Pi10 being included in the model. Conclusion The new metric PiSlope quantifies airway wall remodeling and shows associations with respiratory symptoms, quality of life, exacerbations, lung function decline, and all-cause mortality. Clinical trial registration no. NCT00608764 © RSNA, 2024 See also the editorial by Lynch in this issue.

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PiSlope:量化慢性阻塞性肺病气道重塑的新 CT 指标。
背景 胸部 CT 通常使用 Pi10 对气道壁增厚进行量化,Pi10 是管腔周长为 10 mm 的假定气道壁面积的平方根。虽然 Pi10 已被证明是一种有用的结构,但它假定所有气道都是均匀增厚的,并且在总结气道重塑时只考虑了单一气道水平,从而限制了其准确性。目的 评估用于量化气道壁增厚的新指标 PiSlope。材料和方法 在这项对多中心前瞻性研究数据进行的二次分析中,研究人员从 2008 年 1 月到 2011 年 6 月对目前吸烟或曾经吸烟的人以及从未吸烟的健康志愿者进行了登记,并纵向随访至 2022 年 9 月,对胸部 CT 图像进行了逐节分析,以量化每个可见气道的管腔周长和气道壁厚度。使用线性回归计算管腔周长与管壁厚度的斜率,以确定 PiSlope。PiSlope 根据个人身高的平方进行归一化处理。多变量回归用于检验气道指标与呼吸系统结果之间的关联。结果 8199 名参与者的平均年龄为 59.5 岁 ± 9.1(标清),其中 53% 为男性,67% 为白人。随着疾病严重程度的增加(即慢性阻塞性肺病全球倡议 0-4 期),Pi10 也在增加(4.26 mm ± 0.23、4.29 mm ± 0.21、4.43 mm ± 0.26、4.51 mm ± 0.28 和 4.53 mm ± 0.28)。51 mm ± 0.28 和 4.53 mm ± 0.27),PiSlope 下降(0.38 ± 0.10、0.38 ± 0.10、0.35 ± 0.11、0.33 ± 0.10 和 0.31 ± 0.10)(趋势检验;均 P < .001)。多变量分析显示,无论模型中是否包含 Pi10,PiSlope 都与呼吸困难、呼吸道生活质量、6 分钟步行距离、病情加重、肺功能下降和全因死亡率相关。结论 新指标 PiSlope 可量化气道壁重塑,并显示出与呼吸道症状、生活质量、病情加重、肺功能下降和全因死亡率之间的关联。临床试验注册号NCT00608764 © RSNA, 2024 另请参阅本期林奇的社论。
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
Radiology
Radiology 医学-核医学
CiteScore
35.20
自引率
3.00%
发文量
596
审稿时长
3.6 months
期刊介绍: Published regularly since 1923 by the Radiological Society of North America (RSNA), Radiology has long been recognized as the authoritative reference for the most current, clinically relevant and highest quality research in the field of radiology. Each month the journal publishes approximately 240 pages of peer-reviewed original research, authoritative reviews, well-balanced commentary on significant articles, and expert opinion on new techniques and technologies. Radiology publishes cutting edge and impactful imaging research articles in radiology and medical imaging in order to help improve human health.
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