再现性
成像体模
一致相关系数
锥束ct
理论(学习稳定性)
重复性
特征(语言学)
可靠性(半导体)
核医学
一致性
生物医学工程
计算机科学
数学
计算机断层摄影术
医学
统计
物理
放射科
机器学习
内科学
功率(物理)
哲学
量子力学
语言学
作者
Xian He,Zhi Chen,Yuanyuan Gao,Wanjing Wang,Meng You
标识
DOI:10.1259/dmfr.20230180
摘要
This study aims to determine the reproducibility and location-stability of cone-beam computed tomography (CBCT) radiomic features.Centrifugal tubes with six concentrations of K2HPO4 solutions (50, 100, 200, 400, 600, and 800 mg ml-1) were imaged within a customized phantom. For each concentration, images were captured twice as test and retest sets. Totally, 69 radiomic features were extracted by LIFEx. The reproducibility was assessed between the test and retest sets. We used the concordance correlation coefficient (CCC) to screen qualified features and then compared the differences in the numbers of them under 24 series (four locations groups * six concentrations). The location-stability was assessed using the Kruskal-Wallis test under different concentration sets; likewise, the numbers of qualified features under six test sets were analyzed.There were 20 and 23 qualified features in the reproducibility and location-stability experiments, respectively. In the reproducibility experiment, the performance of the peripheral groups and high-concentration sets was significantly better than the center groups and low-concentration sets. The effect of concentration on the location-stability of features was not monotonic, and the number of qualified features in the low-concentration sets was greater than that in the high-concentration sets. No features were qualified in both experiments.The density and location of the target object can affect the number of reproducible radiomic features, and its density can also affect the number of location-stable radiomic features. The problem of feature reliability should be treated cautiously in radiomic research on CBCT.
科研通智能强力驱动
Strongly Powered by AbleSci AI