Madani Afarine, Van Muylem Alain, de Maertelaer Viviane, Zanen Jacqueline, Gevenois Pierre Alain
Department of Radiology, Hôpital Erasme, Université Libre de Bruxelles, Brussels, Belgium.
Radiology. 2008 Sep;248(3):1036-41. doi: 10.1148/radiol.2483071434.
To test the hypothesis that the frequency-size distribution of low-attenuation areas could be a parameter to quantify pulmonary emphysema.
Ethics committee approval and written informed consent were obtained. Multidetector computed tomographic (CT) scans were performed with simultaneous acquisition of four 1-mm sections of the whole chest in 80 patients (57 men, 23 women; age range, 38-79 years) who were referred for surgical resection of lung cancer. From the raw data, 1.25-mm-thick sections were reconstructed at 10-mm intervals. The relative area of lung with attenuation coefficients lower than -960 HU (RA(960)) and the 1st percentile of the distribution of attenuation coefficients were calculated. The cumulative frequency-size distributions of the RA(960) and the 1st percentile, when represented on a log-log plot, followed linear relationships. The slopes of these lines (D(960) and D(p1)) were compared with areas found macroscopically to have emphysema and with two different microscopic measurements assessed on resected specimens. Spearman correlation coefficients of each CT index with macroscopic and microscopic measurements were calculated.
The RA(960) and the 1st percentile showed statistically significant correlations with macroscopic and microscopic indexes (P < .001), whereas D(960) and D(p1) did not (P > or = .165).
The RA(960) and the 1st percentile reflect the extent of emphysema as compared to macroscopic and microscopic measurements, while D(960) and D(p1) do not.
检验低衰减区域的频率-大小分布可作为量化肺气肿参数这一假设。
获得伦理委员会批准并取得书面知情同意书。对80例因肺癌拟行手术切除的患者(57例男性,23例女性;年龄范围38 - 79岁)进行多排螺旋计算机断层扫描(CT),同时采集全胸部4层1毫米厚的图像。从原始数据中,以10毫米间隔重建1.25毫米厚的图像。计算衰减系数低于-960 HU的肺相对面积(RA(960))以及衰减系数分布的第1百分位数。当在对数-对数图上表示时,RA(960)和第1百分位数的累积频率-大小分布呈线性关系。将这些直线的斜率(D(960)和D(p1))与宏观上发现有肺气肿的区域以及在切除标本上评估的两种不同微观测量结果进行比较。计算每个CT指标与宏观和微观测量结果的Spearman相关系数。
RA(960)和第1百分位数与宏观和微观指标显示出统计学显著相关性(P <.001),而D(960)和D(p1)则没有(P≥.165)。
与宏观和微观测量相比,RA(960)和第1百分位数反映了肺气肿的程度,而D(960)和D(p1)则不能。