Triphan Simon M F, Konietzke Marilisa, Biederer Jürgen, Eichinger Monika, Vogelmeier Claus F, Jörres Rudolf A, Kauczor Hans-Ulrich, Heußel Claus P, Jobst Bertram J, Wielpütz Mark O
Department of Diagnostic and Interventional Radiology, Subdivision of Pulmonary Imaging, University Hospital of Heidelberg, Heidelberg, Germany.
Translational Lung Research Center Heidelberg (TLRC), Member of the German Center for Lung Research (DZL), Heidelberg, Germany.
Front Med (Lausanne). 2024 Jan 5;10:1254003. doi: 10.3389/fmed.2023.1254003. eCollection 2023.
Due to hypoxic vasoconstriction, perfusion is interesting in the lungs. Magnetic Resonance Imaging (MRI) perfusion imaging based on Dynamic Contrast Enhancement (DCE) has been demonstrated in patients with Chronic Obstructive Pulmonary Diseases (COPD) using visual scores, and quantification methods were recently developed further. Inter-patient correlations of echo time-dependent observed T [T(TE)] have been shown with perfusion scores, pulmonary function testing, and quantitative computed tomography. Here, we examined T(TE) quantification and quantitative perfusion MRI together and investigated both inter-patient and local correlations between T(TE) and quantitative perfusion.
22 patients (age 68.0 ± 6.2) with COPD were examined using morphological MRI, inversion recovery multi-echo 2D ultra-short TE (UTE) in 1-2 slices for T(TE) mapping, and 4D Time-resolved angiography With Stochastic Trajectories (TWIST) for DCE. T(TE) maps were calculated from 2D UTE at five TEs from 70 to 2,300 μs. Pulmonary Blood Flow (PBF) and perfusion defect (QDP) maps were produced from DCE measurements. Lungs were automatically segmented on UTE images and morphological MRI and these segmentations registered to DCE images. DCE images were separately registered to UTE in corresponding slices and divided into corresponding subdivisions. Spearman's correlation coefficients were calculated for inter-patient correlations using the entire segmented slices and for local correlations separately using registered images and subdivisions for each TE. Median T(TE) in normal and defect areas according to QDP maps were compared.
Inter-patient correlations were strongest on average at TE = 500 μs, reaching up to |ρ| = 0.64 for T with PBF and |ρ| = 0.76 with QDP. Generally, local correlations of T with PBF were weaker at TE than at TE or TE and with maximum values of |ρ| = 0.66 (from registration) and |ρ| = 0.69 (from subdivision). In 18 patients, T was shorter in defect areas than in normal areas, with the relative difference smallest at TE.
The inter-patient correlations of T with PBF and QDP found show similar strength and TE-dependence as those previously reported for visual perfusion scores and quantitative computed tomography. The local correlations and median T suggest that not only base T but also the TE-dependence of observed T in normal areas is closer to that found previously in healthy volunteers than in defect areas.
由于缺氧性血管收缩,肺部灌注情况备受关注。基于动态对比增强(DCE)的磁共振成像(MRI)灌注成像已通过视觉评分在慢性阻塞性肺疾病(COPD)患者中得到证实,并且量化方法最近得到了进一步发展。已显示回波时间依赖性观察到的T [T(TE)] 在患者之间与灌注评分、肺功能测试以及定量计算机断层扫描存在相关性。在此,我们同时研究了T(TE) 量化和定量灌注MRI,并调查了T(TE) 与定量灌注之间的患者间相关性和局部相关性。
对22名年龄为68.0 ± 6.2岁的COPD患者进行了形态学MRI检查,在1 - 2个层面使用反转恢复多回波二维超短回波时间(UTE)进行T(TE) 映射,并使用4D随机轨迹时间分辨血管造影(TWIST)进行DCE检查。T(TE) 图由2D UTE在70至2300 μs的五个TE下计算得出。通过DCE测量生成肺血流量(PBF)和灌注缺损(QDP)图。在UTE图像和形态学MRI上自动分割肺部,并将这些分割结果配准到DCE图像上。DCE图像分别在相应层面配准到UTE,并划分为相应的子区域块。使用整个分割层面计算患者间相关性的Spearman相关系数,并使用每个TE的配准图像和子区域块分别计算局部相关性。比较根据QDP图在正常区域和缺损区域的T(TE) 中位数。
患者间相关性平均在TE = 500 μs时最强,T与PBF的|ρ| 高达0.64,与QDP的|ρ| 高达0.76。一般来说,T与PBF的局部相关性在TE时比在TE或TE时弱,最大值分别为|ρ| = 0.66(来自配准)和|ρ| = 0.69(来自子区域块)。在18名患者中,缺损区域的T比正常区域短,相对差异在TE时最小。
发现的T与PBF和QDP之间的患者间相关性显示出与先前报道的视觉灌注评分和定量计算机断层扫描相似的强度和TE依赖性。局部相关性和T中位数表明,不仅基础T,而且正常区域中观察到的T的TE依赖性比缺损区域更接近先前在健康志愿者中发现的情况。