Department of Diagnostic and Interventional Radiology, University Medical Center of the Johannes Gutenberg-University, Mainz, Germany.
Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, USA.
Eur Radiol Exp. 2023 Oct 25;7(1):59. doi: 10.1186/s41747-023-00371-8.
Photon-counting detector computed tomography (PCD-CT) may influence imaging characteristics for various clinical conditions due to higher signal and contrast-to-noise ratio in virtual monoenergetic images (VMI). Radiomics analysis relies on quantification of image characteristics. We evaluated the impact of different VMI reconstructions on radiomic features in in vitro and in vivo PCD-CT datasets.
An organic phantom consisting of twelve samples (four oranges, four onions, and four apples) was scanned five times. Twenty-three patients who had undergone coronary computed tomography angiography on a first generation PCD-CT system with the same image acquisitions were analyzed. VMIs were reconstructed at 6 keV levels (40, 55, 70, 90, 120, and 190 keV). The phantoms and the patients' left ventricular myocardium (LVM) were segmented for all reconstructions. Ninety-three original radiomic features were extracted. Repeatability and reproducibility were evaluated through intraclass correlations coefficient (ICC) and post hoc paired samples ANOVA t test.
There was excellent repeatability for radiomic features in phantom scans (all ICC = 1.00). Among all VMIs, 36/93 radiomic features (38.7%) in apples, 28/93 (30.1%) in oranges, and 33/93 (35.5%) in onions were not significantly different. For LVM, the percentage of stable features was high between VMIs ≥ 90 keV (90 versus 120 keV, 77.4%; 90 versus 190 keV, 83.9%; 120 versus 190 keV, 89.3%), while comparison to lower VMI levels led to fewer reproducible features (40 versus 55 keV, 8.6%).
VMI levels influence the stability of radiomic features in an organic phantom and patients' LVM; stability decreases considerably below 90 keV.
Spectral reconstructions significantly influence radiomic features in vitro and in vivo, necessitating standardization and careful attention to these reconstruction parameters before clinical implementation.
• Radiomic features have an excellent repeatability within the same PCD-CT acquisition and reconstruction. • Differences in VMI lead to decreased reproducibility for radiomic features. • VMI ≥ 90 keV increased the reproducibility of the radiomic features.
光子计数探测器 CT(PCD-CT)由于虚拟单能量图像(VMI)中的更高信号和对比噪声比,可能会影响各种临床情况的成像特征。放射组学分析依赖于图像特征的定量。我们评估了不同 VMI 重建对体外和体内 PCD-CT 数据集放射组学特征的影响。
使用包含十二个样本(四个橙子、四个洋葱和四个苹果)的有机体模进行了五次扫描。对在第一代 PCD-CT 系统上进行冠状动脉 CT 血管造影的 23 名患者进行了分析,这些患者的图像采集相同。在 6 keV 水平(40、55、70、90、120 和 190 keV)重建 VMI。对所有重建进行体模和患者左心室心肌(LVM)分割。提取了 93 个原始放射组学特征。通过组内相关系数(ICC)和事后配对样本 ANOVA t 检验评估重复性和可再现性。
体模扫描的放射组学特征具有极好的重复性(所有 ICC=1.00)。在所有 VMI 中,苹果中的 36/93 个(38.7%)、橙子中的 28/93 个(30.1%)和洋葱中的 33/93 个(35.5%)放射组学特征无显著差异。对于 LVM,在 VMI≥90 keV 之间稳定特征的百分比较高(90 与 120 keV 之间为 77.4%;90 与 190 keV 之间为 83.9%;120 与 190 keV 之间为 89.3%),而与较低的 VMI 水平相比,可再现的特征较少(40 与 55 keV 之间为 8.6%)。
VMI 水平会影响有机体模和患者 LVM 中放射组学特征的稳定性;低于 90 keV 时,稳定性会显著下降。
光谱重建在体外和体内均显著影响放射组学特征,在临床实施前需要对这些重建参数进行标准化和仔细注意。
· PCD-CT 采集和重建中,放射组学特征具有极好的可重复性。
· VMI 的差异导致放射组学特征的可再现性降低。
· VMI≥90 keV 增加了放射组学特征的可再现性。