Xia Yi, Guan Yu, Fan Li, Liu Shi-Yuan, Yu Hong, Zhao Li-Ming, Li Bing
1Department of Radiology, Changzheng Hospital of the Second Military Medical University , Shanghai , China.
COPD. 2014 Sep;11(5):510-20. doi: 10.3109/15412555.2014.948990.
The study aimed to prospectively evaluate correlations between dynamic contrast-enhanced (DCE) MR perfusion imaging, pulmonary function tests (PFT) and volume quantitative CT in smokers with or without chronic obstructive pulmonary disease (COPD) and to determine the value of DCE-MR perfusion imaging and CT volumetric imaging on the assessment of smokers. According to the ATS/ERS guidelines, 51 male smokers were categorized into five groups: At risk for COPD (n = 8), mild COPD (n = 9), moderate COPD (n = 12), severe COPD (n = 10), and very severe COPD (n = 12). Maximum slope of increase (MSI), positive enhancement integral (PEI), etc. were obtained from MR perfusion data. The signal intensity ratio (RSI) of the PDs and normal lung was calculated (RSI = SIPD/SInormal). Total lung volume (TLV), total emphysema volume (TEV) and emphysema index (EI) were obtained from volumetric CT data. For "at risk for COPD," the positive rate of PDs on MR perfusion images was higher than that of abnormal changes on non-enhanced CT images (p < 0.05). Moderate-to-strong positive correlations were found between all the PFT parameters and SIPD, or RSI (r range 0.445∼0.683, p ≤ 0.001). TEV and EI were negatively correlated better with FEV1/FVC than other PFT parameters (r range -0.48 --0.63, p < 0.001). There were significant differences in RSI and SIPD between "at risk for COPD" and "very severe COPD," and between "mild COPD" and "very severe COPD". Thus, MR perfusion imaging may be a good approach to identify early evidence of COPD and may have potential to assist in classification of COPD.
本研究旨在前瞻性评估动态对比增强(DCE)磁共振灌注成像、肺功能测试(PFT)和容积定量CT在有或无慢性阻塞性肺疾病(COPD)的吸烟者中的相关性,并确定DCE-MR灌注成像和CT容积成像在评估吸烟者方面的价值。根据美国胸科学会/欧洲呼吸学会指南,51名男性吸烟者被分为五组:COPD风险组(n = 8)、轻度COPD组(n = 9)、中度COPD组(n = 12)、重度COPD组(n = 10)和极重度COPD组(n = 12)。从MR灌注数据中获取最大上升斜率(MSI)、正性增强积分(PEI)等。计算PDs与正常肺的信号强度比(RSI)(RSI = SIPD/SInormal)。从容积CT数据中获取肺总量(TLV)、肺气肿总体积(TEV)和肺气肿指数(EI)。对于“COPD风险组”,MR灌注图像上PDs的阳性率高于非增强CT图像上的异常改变率(p < 0.05)。所有PFT参数与SIPD或RSI之间均存在中度至强的正相关(r范围为0.445至0.683,p≤0.001)。与其他PFT参数相比,TEV和EI与FEV1/FVC的负相关性更好(r范围为-0.48至-0.63,p < 0.001)。“COPD风险组”与“极重度COPD组”之间以及“轻度COPD组”与“极重度COPD组”之间的RSI和SIPD存在显著差异。因此,MR灌注成像可能是识别COPD早期证据的良好方法,并且可能有助于COPD的分类。