Robustness of dual-energy CT-derived radiomic features across three different scanner types
Robustness of dual-energy CT-derived radiomic features across three different scanner types
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DOI：
10.1007/s00330-021-08249-2
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发表时间：
2021-09-20
影响因子：
5.9
通讯作者：
Kambadakone, Avinash
中科院分区：
文献类型：
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作者：
Lennartz, Simon;O'Shea, Aileen;Kambadakone, Avinash
目的研究三种双能CT（DECT）系统放射组学特征的稳健性。方法在三种不同的DECT扫描仪上扫描拟人体模，双源（dsDECT），快速千伏开关（rsDECT）和双层探测器DECT（dlDECT）。回顾性纳入了24例在临床随访期间使用每种扫描仪进行腹部DECT检查的患者（n = 72次检查）。放射组学特征提取后，标准化的图像处理，以下的ROI放置在体模组织和健康的外观肝，脾和肌肉组织的患者使用虚拟单能图像在65 keV（VMI 65 keV）和虚拟未增强图像（VUE）。共提取了774个辐射组学特征，包括86个原始特征和8个小波变换。计算一致性相关系数（CCC）和方差分析（ANOVA）以确定放射组学特征的扫描仪间稳健性，其中CCC>= 0.9被认为是稳健的特征。结果对于任何扫描仪间比较，没有一个体模衍生特征达到高特征鲁棒性的阈值。在VMI 65 keV（dsDECT vs. rsDECT：16.1%（125/774），dlDECT vs. rsDECT：2.5%（19/774），dsDECT vs. dlDECT：2.6%（20/774））和VUE（dsDECT vs. rsDECT：11.1%（86/774），dlDECT vs. rsDECT：2.8%（22/774），dsDECT vs. dlDECT：2.7%（21/774））中，从所有三种扫描仪扫描的患者中获得的稳健特征比例均较低。根据ANOVA，患者（51.4 - 71.1%）和体模（60.6 - 73.4%）中无显著差异的特征比例较高。结论不同DECT扫描仪的放射组学特征在患者体内的稳健性较低，并且少数稳健的患者来源特征未在体模实验中反映。未来的努力应旨在提高DECT衍生放射组学的跨平台通用性。
Objectives To investigate the robustness of radiomic features between three dual-energy CT (DECT) systems. Methods An anthropomorphic body phantom was scanned on three different DECT scanners, a dual-source (dsDECT), a rapid kV-switching (rsDECT), and a dual-layer detector DECT (dlDECT). Twenty-four patients who underwent abdominal DECT examinations on each of the scanner types during clinical follow-up were retrospectively included (n = 72 examinations). Radiomic features were extracted after standardized image processing, following ROI placement in phantom tissues and healthy appearing hepatic, splenic and muscular tissue of patients using virtual monoenergetic images at 65 keV (VMI65keV) and virtual unenhanced images (VUE). In total, 774 radiomic features were extracted including 86 original features and 8 wavelet transformations hereof. Concordance correlation coefficients (CCC) and analysis of variances (ANOVA) were calculated to determine inter-scanner robustness of radiomic features with a CCC of >= 0.9 deeming a feature robust. Results None of the phantom-derived features attained the threshold for high feature robustness for any inter-scanner comparison. The proportion of robust features obtained from patients scanned on all three scanners was low both in VMI65keV (dsDECT vs. rsDECT:16.1% (125/774), dlDECT vs. rsDECT:2.5% (19/774), dsDECT vs. dlDECT:2.6% (20/774)) and VUE (dsDECT vs. rsDECT:11.1% (86/774), dlDECT vs. rsDECT:2.8% (22/774), dsDECT vs. dlDECT:2.7% (21/774)). The proportion of features without significant differences as per ANOVA was higher both in patients (51.4-71.1%) and in the phantom (60.6-73.4%). Conclusions The robustness of radiomic features across different DECT scanners in patients was low and the few robust patient-derived features were not reflected in the phantom experiment. Future efforts should aim to improve the cross-platform generalizability of DECT-derived radiomics.