验证用于区分纤维化超敏性肺炎和特发性肺纤维化的计算机断层扫描诊断模型

IF 2.4 Q2 RESPIRATORY SYSTEM Respiratory investigation Pub Date : 2024-07-11 DOI:10.1016/j.resinv.2024.07.002
Hiromitsu Sumikawa , Kosaku Komiya , Ryoko Egashira , Junya Tominaga , Midori Ueno , Taiki Fukuda , Daisuke Yamada , Reoto Takei , Kensuke Kataoka , Tomoki Kimura , Yasuhiro Kondoh , Masaru Ejima , Takashi Shimamura , Tomoya Tateishi , Hiromi Tomioka , Yasunari Miyazaki , Takafumi Suda , Takeshi Johkoh
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引用次数: 0

摘要

背景纤维化超敏性肺炎(fHP)与其他肺间质疾病,尤其是特发性肺纤维化(IPF)的诊断通常比较困难。本研究旨在检查有助于区分 fHP 和 IPF 的计算机断层扫描(CT)结果,并开发和验证放射诊断模型。方法本研究纳入了两家机构的 246 名患者(fHP,n = 104;IPF,n = 142),并随机分为试验组(n = 164)和验证组(n = 82)(比例为 2:1)。三位放射科专家对肺纤维化、小气道疾病和主要分布等CT结果进行了评估,并通过二项逻辑回归和多变量分析对FHP和IPF进行了比较。结果与 IPF 相比,fHP 中更常见的是伴有牵引性支气管扩张(TB)的地玻璃不透明(GGO)、蜂窝状、低亮度区、三密度模式、弥漫性头尾分布、上肺支气管周围不透明以及随机分布。在多变量分析中,GGO伴肺结核、上肺支气管周围不透明和随机分布是重要特征。在测试组中,带有上述三个CT特征的fHP诊断模型的曲线下面积为0.733(95%置信区间[CI],0.655-0.811,p <0.001),在验证组中为0.630(95% CI,0.504-0.755,p <0.047)。
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Validation of a computed tomography diagnostic model for differentiating fibrotic hypersensitivity pneumonitis from idiopathic pulmonary fibrosis

Background

The diagnosis of fibrotic hypersensitivity pneumonitis (fHP) from other interstitial lung diseases, particularly idiopathic pulmonary fibrosis (IPF), is often difficult. This study aimed to examine computed tomography (CT) findings that were useful for differentiating between fHP and IPF and to develop and validate a radiological diagnostic model.

Methods

In this study, 246 patients (fHP, n = 104; IPF, n = 142) from two institutions were included and randomly divided into the test (n = 164) and validation (n = 82) groups (at a 2:1 ratio). Three radiologists evaluated CT findings, such as pulmonary fibrosis, small airway disease, and predominant distribution, and compared them between fHP and IPF using binomial logistic regression and multivariate analysis. A prognostic model was developed from the test group and validated with the validation group.

Results

Ground-glass opacity (GGO) with traction bronchiectasis (TB), honeycombing, hypoattenuation area, three-density pattern, diffuse craniocaudal distribution, peribronchovascular opacities in the upper lung, and random distribution were more common in fHP than in IPF. In multivariate analysis, GGO with TB, peribronchovascular opacities in the upper lung, and random distribution were significant features. The area under the curve of the fHP diagnostic model with the three aforementioned CT features was 0.733 (95% confidence interval [CI], 0.655–0.811, p < 0.001) in the test group and 0.630 (95% CI, 0.504–0.755, p < 0.047) in the validation group.

Conclusion

GGO with TB, peribronchovascular opacities in the upper lung, and random distribution were important CT features for differentiating fHP from IPF.

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来源期刊
Respiratory investigation
Respiratory investigation RESPIRATORY SYSTEM-
CiteScore
4.90
自引率
6.50%
发文量
114
审稿时长
64 days
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