Dept. of Radiology, Univ. of Southern California, Los Angeles, CA, USA.
The Phantom Laboratory, Greenwich, NY, USA.
J Appl Clin Med Phys. 2019 Aug;20(8):155-163. doi: 10.1002/acm2.12666. Epub 2019 Jun 20.
To determine the intra-, inter- and test-retest variability of CT-based texture analysis (CTTA) metrics.
In this study, we conducted a series of CT imaging experiments using a texture phantom to evaluate the performance of a CTTA panel on routine abdominal imaging protocols. The phantom comprises of three different regions with various textures found in tumors. The phantom was scanned on two CT scanners viz. the Philips Brilliance 64 CT and Toshiba Aquilion Prime 160 CT scanners. The intra-scanner variability of the CTTA metrics was evaluated across imaging parameters such as slice thickness, field of view, post-reconstruction filtering, tube voltage, and tube current. For each scanner and scanning parameter combination, we evaluated the performance of eight different types of texture quantification techniques on a predetermined region of interest (ROI) within the phantom image using 235 different texture metrics. We conducted the repeatability (test-retest) and robustness (intra-scanner) test on both the scanners and the reproducibility test was conducted by comparing the inter-scanner differences in the repeatability and robustness to identify reliable CTTA metrics. Reliable metrics are those metrics that are repeatable, reproducible and robust.
As expected, the robustness, repeatability and reproducibility of CTTA metrics are variably sensitive to various scanner and scanning parameters. Entropy of Fast Fourier Transform-based texture metrics was overall most reliable across the two scanners and scanning conditions. Post-processing techniques that reduce image noise while preserving the underlying edges associated with true anatomy or pathology bring about significant differences in radiomic reliability compared to when they were not used.
Following large-scale validation, identification of reliable CTTA metrics can aid in conducting large-scale multicenter CTTA analysis using sample sets acquired using different imaging protocols, scanners etc.
确定基于 CT 的纹理分析（CTTA）指标的内、间和重测变异性。
本研究使用纹理体模进行了一系列 CT 成像实验，以评估 CTTA 面板在常规腹部成像方案中的性能。体模由三个不同区域组成，这些区域包含肿瘤中不同的纹理。体模在两台 CT 扫描仪上进行扫描，分别是飞利浦 Brilliance 64 CT 和东芝 Aquilion Prime 160 CT 扫描仪。评估了不同成像参数（如切片厚度、视野、后重建滤波、管电压和管电流）下 CTTA 指标的内扫描仪变异性。对于每个扫描仪和扫描参数组合，我们在体模图像中的预定感兴趣区域（ROI）上评估了八种不同类型的纹理量化技术的性能，使用了 235 种不同的纹理指标。我们在两台扫描仪上进行了重复性（重测）和稳健性（内扫描仪）测试，通过比较重测和稳健性的扫描仪间差异，来识别可靠的 CTTA 指标。可靠的指标是那些可重复、可再现且稳健的指标。
正如预期的那样，CTTA 指标的稳健性、重复性和再现性对各种扫描仪和扫描参数的变化敏感。基于快速傅里叶变换的纹理指标的熵在两台扫描仪和扫描条件下总体上是最可靠的。与未使用时相比，在降低图像噪声同时保留与真实解剖或病理相关的潜在边缘的后处理技术，在放射组学可靠性方面带来了显著差异。
在大规模验证后，可靠的 CTTA 指标的识别可以帮助使用不同成像协议、扫描仪等获取的样本集进行大规模多中心 CTTA 分析。
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