Department of Radiology, University Medical Center, Heidelberglaan 100, 3584 CX Utrecht, The Netherlands.
Radiology. 2010 Apr;255(1):199-206. doi: 10.1148/radiol.09090571. Epub 2010 Feb 1.
To compare manual measurements of diameter, volume, and mass of pulmonary ground-glass nodules (GGNs) to establish which method is best for identifying malignant GGNs by determining change across time.
In this ethics committee-approved retrospective study, baseline and follow-up CT examinations of 52 GGNs detected in a lung cancer screening trial were included, resulting in 127 GGN data sets for evaluation. Two observers measured GGN diameter with electronic calipers, manually outlined GGNs to obtain volume and mass, and scored whether a solid component was present. Observer 1 repeated all measurements after 2 months. Coefficients of variation and limits of agreement were calculated by using Bland-Altman methods. In a subgroup of GGNs containing all resected malignant lesions, the ratio between intraobserver variability and growth (growth-to-variability ratio) was calculated for each measurement technique. In this subgroup, the mean time for growth to exceed the upper limit of agreement of each measurement technique was determined.
The kappa values for intra- and interobserver agreement for identifying a solid component were 0.55 and 0.38, respectively. Intra- and interobserver coefficients of variation were smallest for GGN mass (P < .001). Thirteen malignant GGNs were resected. Mean growth-to-variability ratios were 11, 28, and 35 for diameter, volume, and mass, respectively (P = .03); mean times required for growth to exceed the upper limit of agreement were 715, 673, and 425 days, respectively (P = .02).
Mass measurements can enable detection of growth of GGNs earlier and are subject to less variability than are volume or diameter measurements.
通过比较肺磨玻璃结节(GGN)直径、体积和质量的手动测量值,确定哪种方法最适合通过确定随时间的变化来识别恶性 GGN,从而建立最佳方法。
在这项经伦理委员会批准的回顾性研究中,纳入了一项肺癌筛查试验中检测到的 52 个 GGN 的基线和随访 CT 检查结果,共获得 127 个 GGN 数据集进行评估。两位观察者使用电子卡尺测量 GGN 直径,手动勾勒 GGN 以获得体积和质量,并对是否存在实性成分进行评分。观察者 1 在 2 个月后重复了所有测量。使用 Bland-Altman 方法计算变异系数和一致性界限。在包含所有切除恶性病变的 GGN 亚组中,为每种测量技术计算了观察者内变异性与生长之间的比值(生长与变异性比值)。在该亚组中,确定了每种测量技术的生长超过其上限的平均时间。
识别实性成分的观察者内和观察者间一致性的 Kappa 值分别为 0.55 和 0.38。观察者内和观察者间的变异系数以 GGN 质量最小(P<0.001)。切除了 13 个恶性 GGN。直径、体积和质量的平均生长与变异性比值分别为 11、28 和 35(P=0.03);生长超过上限的平均时间分别为 715、673 和 425 天(P=0.02)。
质量测量可以更早地检测 GGN 的生长,并且比体积或直径测量的变异性更小。