Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milano, Italy.
Center for Pulmonary Imaging Research, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.
J Magn Reson Imaging. 2018 Aug;48(2):531-542. doi: 10.1002/jmri.25978. Epub 2018 Feb 19.
Lung disease is the most frequent cause of morbidity and mortality in patients with cystic fibrosis (CF), and there is a shortage of sensitive biomarkers able to regionally monitor disease progression and to assess early responses to therapy.
To determine the feasibility of noncontrast-enhanced multivolume MRI, which assesses intensity changes between expiratory and inspiratory breath-hold images, to detect and quantify regional ventilation abnormalities in CF lung disease, with a focus on the structure-function relationship.
Retrospective.
Twenty-nine subjects, including healthy young children (n = 9, 7-37 months), healthy adolescents (n = 4, 14-22 years), young children with CF lung disease (n = 10, 7-47 months), and adolescents with CF lung disease (n = 6, 8-18 years) were studied.
FIELD STRENGTH/SEQUENCE: 3D spoiled gradient-recalled sequence at 1.5T.
Subjects were scanned during breath-hold at functional residual capacity (FRC) and total lung capacity (TLC) through noncontrast-enhanced MRI and CT. Expiratory-inspiratory differences in MR signal-intensity (Δ H-MRI) and CT-density (ΔHU) were computed to estimate regional ventilation. MR and CT images were also evaluated using a CF-specific scoring system.
Quadratic regression, Spearman's correlation, one-way analysis of variance (ANOVA).
Δ H-MRI maps were sensitive to ventilation heterogeneity related to gravity dependence in healthy lung and to ventilation impairment in CF lung disease. A high correlation was found between MRI and CT ventilation maps (R = 0.79, P < 0.001). Globally, Δ H-MRI and ΔHU decrease with increasing morphological score (respectively, R = 0.56, P < 0.001 and R = 0.31, P < 0.001). Locally, Δ H-MRI was higher in healthy regions (median 15%) compared to regions with bronchiectasis, air trapping, consolidation, and to segments fed by airways with bronchial wall thickening (P < 0.001).
Multivolume noncontrast-enhanced MRI, as a nonionizing imaging modality that can be used on nearly any MRI scanner without specialized equipment or gaseous tracers, may be particularly valuable in CF care, providing a new imaging biomarker to detect early alterations in regional lung structure-function.
3 Technical Efficacy: Stage 3 J. MAGN. RESON. IMAGING 2018;48:531-542.
肺部疾病是囊性纤维化(CF)患者发病率和死亡率的最常见原因,并且缺乏能够局部监测疾病进展和评估早期治疗反应的敏感生物标志物。
确定非增强多容积 MRI 的可行性,该方法通过评估呼气和吸气屏气图像之间的强度变化,来检测和量化 CF 肺部疾病中的区域性通气异常,并重点关注结构-功能关系。
回顾性。
共 29 名受试者,包括健康的幼儿(n=9,7-37 个月)、健康的青少年(n=4,14-22 岁)、患有 CF 肺部疾病的幼儿(n=10,7-47 个月)和患有 CF 肺部疾病的青少年(n=6,8-18 岁)。
磁场强度/序列:1.5T 下的 3D 扰相梯度回波序列。
受试者在功能残气(FRC)和肺总量(TLC)时通过非增强 MRI 和 CT 进行屏气扫描。计算 MR 信号强度(Δ H-MRI)和 CT 密度(ΔHU)的呼气相-吸气相差异,以估计区域性通气。还使用 CF 特异性评分系统对 MR 和 CT 图像进行了评估。
二次回归、Spearman 相关分析、单因素方差分析(ANOVA)。
Δ H-MRI 图对与重力依赖相关的健康肺部通气异质性和 CF 肺部疾病中的通气损害敏感。MRI 和 CT 通气图之间存在高度相关性(R=0.79,P<0.001)。总体而言,Δ H-MRI 和 ΔHU 随形态学评分的增加而降低(分别为 R=0.56,P<0.001 和 R=0.31,P<0.001)。局部来看,与支气管扩张、空气潴留、实变以及由气道壁增厚的气道供应的节段相比,健康区域的 Δ H-MRI 更高(中位数为 15%)(P<0.001)。
多容积非增强 MRI 作为一种非电离成像方式,几乎可以在任何 MRI 扫描仪上使用,无需特殊设备或气态示踪剂,可能在 CF 护理中特别有价值,为检测区域性肺结构-功能的早期改变提供了新的成像生物标志物。
3 级技术功效:3 级 JMRI 2018;48:531-542。