Cardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA.
Magn Reson Med. 2023 Oct;90(4):1396-1413. doi: 10.1002/mrm.29716. Epub 2023 Jun 8.
Exercise-induced dyspnea caused by lung water is an early heart failure symptom. Dynamic lung water quantification during exercise is therefore of interest to detect early stage disease. This study developed a time-resolved 3D MRI method to quantify transient lung water dynamics during rest and exercise stress.
The method was evaluated in 15 healthy subjects and 2 patients with heart failure imaged in transitions between rest and exercise, and in a porcine model of dynamic extravascular lung water accumulation through mitral regurgitation (n = 5). Time-resolved images were acquired at 0.55T using a continuous 3D stack-of-spirals proton density weighted sequence with 3.5 mm isotropic resolution, and derived using a motion corrected sliding-window reconstruction with 90-s temporal resolution in 20-s increments. A supine MRI-compatible pedal ergometer was used for exercise. Global and regional lung water density (LWD) and percent change in LWD (ΔLWD) were automatically quantified.
A ΔLWD increase of 3.3 ± 1.5% was achieved in the animals. Healthy subjects developed a ΔLWD of 7.8 ± 5.0% during moderate exercise, peaked at 16 ± 6.8% during vigorous exercise, and remained unchanged over 10 min at rest (-1.4 ± 3.5%, p = 0.18). Regional LWD were higher posteriorly compared the anterior lungs (rest: 33 ± 3.7% vs 20 ± 3.1%, p < 0.0001; peak exercise: 36 ± 5.5% vs 25 ± 4.6%, p < 0.0001). Accumulation rates were slower in patients than healthy subjects (2.0 ± 0.1%/min vs 2.6 ± 0.9%/min, respectively), whereas LWD were similar at rest (28 ± 10% and 28 ± 2.9%) and peak exercise (ΔLWD 17 ± 10% vs 16 ± 6.8%).
Lung water dynamics can be quantified during exercise using continuous 3D MRI and a sliding-window image reconstruction.
由肺水引起的运动性呼吸困难是心力衰竭的早期症状。因此,定量检测运动过程中动态肺水对于早期疾病的诊断具有重要意义。本研究开发了一种时间分辨 3D MRI 方法,用于定量检测静息和运动负荷下的肺水动态变化。
该方法在 15 名健康志愿者和 2 名心力衰竭患者中进行了评估,这些患者在静息和运动之间进行了过渡,并且在通过二尖瓣反流产生的动态血管外肺水蓄积的猪模型中进行了评估(n=5)。使用连续的 3D 螺旋质子密度加权序列以 0.55T 采集时间分辨图像,使用运动校正的滑动窗口重建以 90 秒的时间分辨率递增 20 秒进行重建,体素分辨率为 3.5mm 各向同性。使用仰卧位 MRI 兼容的脚踏功率计进行运动。自动定量分析整体和局部肺水密度(LWD)以及 LWD 的变化百分比(ΔLWD)。
在动物模型中,肺水的增加量为 3.3±1.5%。健康志愿者在中度运动时产生了 7.8±5.0%的ΔLWD,在剧烈运动时达到峰值 16±6.8%,在静息 10 分钟时保持不变(-1.4±3.5%,p=0.18)。后部的 LWD 高于前部(静息:33±3.7%比 20±3.1%,p<0.0001;峰值运动:36±5.5%比 25±4.6%,p<0.0001)。与健康志愿者相比,患者的累积速度较慢(分别为 2.0±0.1%/min 和 2.6±0.9%/min),而在静息(28±10%和 28±2.9%)和峰值运动(ΔLWD 17±10%和 16±6.8%)时 LWD 相似。
使用连续 3D MRI 和滑动窗口图像重建可以在运动过程中定量检测肺水动态。