Department of Diagnostic Radiology, University Hospital Schleswig-Holstein, Campus Kiel, Arnold-Heller-Str. 3, Haus 23, D-24105 Kiel, Germany.
Eur J Radiol. 2012 Nov;81(11):3124-30. doi: 10.1016/j.ejrad.2012.03.008. Epub 2012 Mar 29.
Therapy response evaluation in oncological patient care requires reproducible and accurate image evaluation. Today, common standard in measurement of tumour growth or shrinkage is one-dimensional RECIST 1.1. A proposed alternative method for therapy monitoring is computer aided volumetric analysis. In lung metastases volumetry proved high reliability and accuracy in experimental studies. High reliability and accuracy of volumetry in lung metastases has been proven. However, other metastatic lesions such as enlarged lymph nodes are far more challenging. The aim of this study was to investigate the reproducibility of semi-automated volumetric analysis of lymph node metastases as a function of both slice thickness and reconstruction kernel. In addition, manual long axis diameters (LAD) as well as short axis diameters (SAD) were compared to automated RECIST measurements.
Multislice-CT of the chest, abdomen and pelvis of 15 patients with lymph node metastases of malignant melanoma were included. Raw data were reconstructed using different slice thicknesses (1-5 mm) and varying reconstruction kernels (B20f, B40f, B60f). Volume and RECIST measurements were performed for 85 lymph nodes between 10 and 60 mm using Oncology Prototype Software (Fraunhofer MEVIS, Siemens, Germany) and were compared to a defined reference volume and diameter by calculating absolute percentage errors (APE). Variability of the lymph node sizes was computed as relative measurement differences, precision of measurements was computed as relative measurement deviation.
Mean absolute percentage error (APE) for volumetric analysis varied between 3.95% and 13.8% and increased significantly with slice thickness. Differences between reconstruction kernels were not significant, however, a trend towards middle soft tissue kernel could be observed.. Between automated and manual short axis diameter (SAD, RECIST 1.1) and long axis diameter (LAD, RECIST 1.0) no significant differences were found. The most unsatisfactory segmentation results occurred in higher slice thickness (3 and 5 mm) and sharp tissue kernel.
Volumetric analysis of lymph nodes works satisfying in a clinical setting. Thin slice reconstructions (≤3 mm) and a middle soft tissue reconstruction kernel are recommended. LAD and SAD did not show significant differences regarding APE. Automated RECIST measurement showed lower APE than manual measurement in trend.
在肿瘤患者的护理中,治疗反应评估需要可重复且准确的图像评估。目前,测量肿瘤生长或缩小的常用标准是一维 RECIST 1.1。一种用于治疗监测的替代方法是计算机辅助体积分析。在肺转移瘤中,体积测量在实验研究中已被证明具有高度可靠性和准确性。在肺转移瘤中,体积测量的可靠性和准确性已得到证实。然而,其他转移性病变,如增大的淋巴结,更具挑战性。本研究旨在探讨半自动淋巴结转移体积分析的可重复性,以及其与切片厚度和重建核之间的关系。此外,还比较了手动长轴直径(LAD)和短轴直径(SAD)与自动 RECIST 测量的结果。
纳入了 15 例恶性黑色素瘤淋巴结转移患者的胸部、腹部和骨盆多层 CT 扫描。使用不同的切片厚度(1-5 毫米)和不同的重建核(B20f、B40f、B60f)对原始数据进行重建。使用 Oncology Prototype Software(Fraunhofer MEVIS,Siemens,德国)对 85 个直径在 10-60 毫米之间的淋巴结进行体积和 RECIST 测量,并通过计算绝对百分比误差(APE)与定义的参考体积和直径进行比较。通过计算相对测量差异来计算淋巴结大小的变化性,通过计算相对测量偏差来计算测量精度。
体积分析的平均绝对百分比误差(APE)在 3.95%至 13.8%之间,且随切片厚度的增加而显著增加。重建核之间的差异不显著,但可以观察到中间软组织核的趋势。自动和手动短轴直径(SAD,RECIST 1.1)和长轴直径(LAD,RECIST 1.0)之间无显著差异。在较高的切片厚度(3 毫米和 5 毫米)和锐利的组织核中,分割结果最不理想。
在临床环境中,淋巴结的体积分析效果令人满意。建议使用薄层重建(≤3 毫米)和中等软组织重建核。LAD 和 SAD 在 APE 方面没有显示出显著差异。自动 RECIST 测量的 APE 低于手动测量,呈下降趋势。