Veres Gergő, Kiss János, Vas Norman Félix, Kallos-Balogh Piroska, Máthé Nóra Beatrix, Lassen Martin Lyngby, Berényi Ervin, Balkay László
Division of Radiology and Imaging Science, Department of Medical Imaging, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary.
Doctoral School of Neuroscience, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary.
Diagnostics (Basel). 2022 Sep 9;12(9):2196. doi: 10.3390/diagnostics12092196.
The objectives of our study were to (a) evaluate the feasibility of using 3D printed phantoms in magnetic resonance imaging (MR) in assessing the robustness and repeatability of radiomic parameters and (b) to compare the results obtained from the 3D printed phantoms to metrics obtained in biological phantoms. To this end, three different 3D phantoms were printed: a Hilbert cube (5 × 5 × 5 cm) and two cubic quick response (QR) code phantoms (a large phantom (large QR) (5 × 5 × 4 cm) and a small phantom (small QR) (4 × 4 × 3 cm)). All 3D printed and biological phantoms (kiwis, tomatoes, and onions) were scanned thrice on clinical 1.5 T and 3 T MR with 1 mm and 2 mm isotropic resolution. Subsequent analyses included analyses of several radiomics indices (RI), their repeatability and reliability were calculated using the coefficient of variation (CV), the relative percentage difference (RPD), and the interclass coefficient (ICC) parameters. Additionally, the readability of QR codes obtained from the MR images was examined with several mobile phones and algorithms. The best repeatability (CV ≤ 10%) is reported for the acquisition protocols with the highest spatial resolution. In general, the repeatability and reliability of RI were better in data obtained at 1.5 T (CV = 1.9) than at 3 T (CV = 2.11). Furthermore, we report good agreements between results obtained for the 3D phantoms and biological phantoms. Finally, analyses of the read-out rate of the QR code revealed better texture analyses for images with a spatial resolution of 1 mm than 2 mm. In conclusion, 3D printing techniques offer a unique solution to create textures for analyzing the reliability of radiomic data from MR scans.
(a)评估在磁共振成像(MR)中使用3D打印体模评估放射组学参数的稳健性和可重复性的可行性;(b)将3D打印体模获得的结果与生物体模获得的指标进行比较。为此,打印了三种不同的3D体模:一个希尔伯特立方体(5×5×5厘米)和两个立方体快速响应(QR)码体模(一个大型体模(大QR)(5×5×4厘米)和一个小型体模(小QR)(4×4×3厘米))。所有3D打印体模和生物体模(猕猴桃、西红柿和洋葱)在临床1.5T和3T MR上以1毫米和2毫米各向同性分辨率进行了三次扫描。后续分析包括对几个放射组学指标(RI)的分析,使用变异系数(CV)、相对百分比差异(RPD)和组内相关系数(ICC)参数计算其可重复性和可靠性。此外,用几部手机和算法检查了从MR图像获得的QR码的可读性。对于具有最高空间分辨率的采集协议,报告了最佳可重复性(CV≤10%)。一般来说,RI的可重复性和可靠性在1.5T获得的数据(CV = 1.9)中比在3T获得的数据(CV = 2.11)中更好。此外,我们报告了3D体模和生物体模获得的结果之间有良好的一致性。最后,对QR码读出率的分析表明,对于空间分辨率为1毫米的图像,纹理分析比2毫米的更好。总之,3D打印技术为创建纹理以分析MR扫描放射组学数据的可靠性提供了独特的解决方案。