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动态对比增强 MRI 用于特发性肺纤维化肺灌注的评估。

Dynamic contrast enhanced MRI for the evaluation of lung perfusion in idiopathic pulmonary fibrosis.

机构信息

Dept of Medical Physics, School of Medicine and Public Health, University of Wisconsin - Madison, Madison, WI, USA.

Dept of Biostatistics and Medical Informatics, School of Medicine and Public Health, University of Wisconsin - Madison, Madison, WI, USA.

出版信息

Eur Respir J. 2022 Oct 13;60(4). doi: 10.1183/13993003.02058-2021. Print 2022 Oct.

DOI:10.1183/13993003.02058-2021
PMID:35273033
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10015995/
Abstract

BACKGROUND

The objective of this work was to apply quantitative and semiquantitative dynamic contrast enhanced magnetic resonance imaging (DCE-MRI) methods to evaluate lung perfusion in idiopathic pulmonary fibrosis (IPF).

METHODS

In this prospective trial 41 subjects, including healthy control and IPF subjects, were studied using DCE-MRI at baseline. IPF subjects were then followed for 1 year; progressive IPF (IPF) subjects were distinguished from stable IPF (IPF) subjects based on a decline in percent predicted forced vital capacity (FVC % pred) or diffusing capacity of the lung for carbon monoxide ( % pred) measured during follow-up visits. 35 out of 41 subjects were retained for final baseline analysis (control: n=15; IPF: n=14; IPF: n=6). Seven measures and their coefficients of variation (CV) were derived using temporally resolved DCE-MRI. Two sets of global and regional comparisons were made: control IPF groups and control IPF IPF groups, using linear regression analysis. Each measure was compared with FVC % pred, % pred and the lung clearance index (LCI % pred) using a Spearman rank correlation.

RESULTS

DCE-MRI identified regional perfusion differences between control and IPF subjects using first moment transit time (FMTT), contrast uptake slope and pulmonary blood flow (PBF) (p≤0.05), while global averages did not. FMTT was shorter for IPF compared with both IPF (p=0.004) and control groups (p=0.023). Correlations were observed between PBF CV and % pred (r= -0.48, p=0.022) and LCI % pred (r= +0.47, p=0.015). Significant group differences were detected in age (p<0.001), % pred (p<0.001), FVC % pred (p=0.001) and LCI % pred (p=0.007).

CONCLUSIONS

Global analysis obscures regional changes in pulmonary haemodynamics in IPF using DCE-MRI in IPF. Decreased FMTT may be a candidate marker for IPF progression.

摘要

背景

本研究旨在应用定量和半定量动态对比增强磁共振成像(DCE-MRI)方法评估特发性肺纤维化(IPF)患者的肺灌注。

方法

本前瞻性研究共纳入 41 例受试者,包括健康对照者和 IPF 患者,于基线时行 DCE-MRI 检查。然后对 IPF 患者进行为期 1 年的随访,根据随访过程中预测的用力肺活量(FVC % pred)或一氧化碳弥散量(DLCO % pred)下降情况,将其分为进展性 IPF(IPF)和稳定性 IPF(IPF)。41 例患者中,35 例完成最终基线分析(对照组:n=15;IPF 组:n=14;IPF 组:n=6)。采用时间分辨 DCE-MRI 得出 7 个指标及其变异系数(CV)。分别采用线性回归分析进行两组间(对照组与 IPF 组,对照组与 IPF 组、IPF 组)的全局和局部比较,并用 Spearman 秩相关分析每个指标与 FVC % pred、DLCO % pred 和肺清除指数(LCI % pred)的相关性。

结果

DCE-MRI 检测到特发性肺纤维化患者的局部灌注存在差异,具体表现为第一时相过渡时间(FMTT)、对比摄取斜率和肺血流量(PBF)的差异(p≤0.05),但全局平均值未显示出差异。与 IPF 组和对照组相比,IPF 组的 FMTT 更短(p=0.004 和 p=0.023)。PBF CV 与 DLCO % pred(r= -0.48,p=0.022)和 LCI % pred(r= +0.47,p=0.015)呈负相关。两组间的年龄(p<0.001)、DLCO % pred(p<0.001)、FVC % pred(p=0.001)和 LCI % pred(p=0.007)均存在显著差异。

结论

DCE-MRI 检测到 IPF 患者存在区域性肺血流动力学变化,但全局分析结果可能被掩盖。FMTT 缩短可能是特发性肺纤维化进展的候选标志物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5398/10015995/433a178cd153/nihms-1874210-f0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5398/10015995/54d65d943c93/nihms-1874210-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5398/10015995/0f334d58f62f/nihms-1874210-f0002.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5398/10015995/7dc735ee17dc/nihms-1874210-f0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5398/10015995/d3b105b43f45/nihms-1874210-f0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5398/10015995/433a178cd153/nihms-1874210-f0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5398/10015995/54d65d943c93/nihms-1874210-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5398/10015995/0f334d58f62f/nihms-1874210-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5398/10015995/ef405bf197bc/nihms-1874210-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5398/10015995/7dc735ee17dc/nihms-1874210-f0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5398/10015995/d3b105b43f45/nihms-1874210-f0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5398/10015995/433a178cd153/nihms-1874210-f0006.jpg

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