Lehmann F, Eberle B, Markstaller K, Gast K K, Schmiedeskamp J, Blümler P, Kauczor H-U, Schreiber W G
Klinik und Poliklinik für Radiologie, Johannes Gutenberg-Universität, Mainz.
Rofo. 2004 Oct;176(10):1390-8. doi: 10.1055/s-2004-813432.
To develop a software tool for quantitative analysis of alveolar oxygen partial pressure (p(A)O(2)) as well as its time course during apnea.
T (1)-relaxation times of hyperpolarized (3)He are reduced by paramagnetic oxygen rendering (3)He-MRI sensitive to oxygen and thus allowing the assessment of the local oxygen partial pressure in the pulmonary airspaces. Oxygen-related relaxation and loss of polarization by RF-excitation can be discriminated by acquiring two image series with varying interscan delay and/or flip angles. Software was developed to calculate the p(A)O(2) and the decay rate in user-defined regions of interest (ROIs) automatically. Moreover, parameter maps can be calculated. In addition to the analysis of 2-dimensional data sets, the software allows the evaluation of 3-dimensional measurements for the first time. Artifacts due to lung motion were reduced by implementing a motion correction algorithm.
The software was successfully applied to data sets from healthy volunteers and from patients with various lung diseases. The parameter maps demonstrated a more homogeneous distribution of p(A)O(2) for the volunteers than for the patients. A regional increase in p(A)O(2) was found in a few patients.
The described software allows the absolute quantification of p(A)O(2) as well as its variation over time. In the future, therefore, the software may gain importance for detecting mismatches between ventilation and perfusion, e. g., in patients with pulmonary embolism or chronic obstructive lung diseases.
开发一种软件工具,用于定量分析肺泡氧分压(p(A)O(2))及其在呼吸暂停期间的时间进程。
超极化(3)He的T(1)弛豫时间因顺磁性氧而缩短,使(3)He-MRI对氧敏感,从而能够评估肺内气腔的局部氧分压。通过获取具有不同扫描间隔和/或翻转角的两个图像系列,可以区分与氧相关的弛豫和射频激发引起的极化损失。开发了软件以自动计算用户定义的感兴趣区域(ROI)中的p(A)O(2)和衰减率。此外,可以计算参数图。除了分析二维数据集外,该软件首次允许评估三维测量。通过实施运动校正算法减少了由于肺部运动引起的伪影。
该软件已成功应用于健康志愿者和各种肺部疾病患者的数据集。参数图显示,志愿者的p(A)O(2)分布比患者更均匀。在少数患者中发现p(A)O(2)区域增加。
所描述的软件允许对p(A)O(2)进行绝对定量及其随时间的变化。因此,在未来,该软件对于检测通气与灌注不匹配可能具有重要意义,例如在肺栓塞或慢性阻塞性肺疾病患者中。