Medical Physics and Research Department, Hong Kong Sanatorium & Hospital, Hong Kong, Hong Kong SAR, China.
Department of Diagnostic & Interventional Radiology, Hong Kong Sanatorium & Hospital, Hong Kong, Hong Kong SAR, China.
Magn Reson Med. 2021 Jun;85(6):3434-3446. doi: 10.1002/mrm.28650. Epub 2021 Jan 6.
To prospectively investigate the impact of image reconstruction on MRI radiomics features.
An anthropomorphic phantom was scanned at 1.5 T using a standardized sequence for MR-guided radiotherapy under SENSE and compressed-SENSE reconstruction settings. A total of 93 first-order and texture radiomics features in 10 volumes of interest were assessed based on (1) accuracy measured by the percentage deviation from the reference, (2) robustness on reconstruction in all volumes of interest measured by the intraclass correlation coefficient, and (3) repeatability measured by the coefficient of variance over the repetitive acquisitions. Finally, reliable and unreliable radiomics features were comprehensively determined based on their accuracy, robustness, and repeatability.
Better accuracy and robustness of the radiomics features were achieved under SENSE than compressed-SENSE reconstruction. The feature accuracy under SENSE reconstruction was more affected by acceleration factor than direction, whereas under compressed-SENSE reconstruction, accuracy was substantially impacted by the increasing denoising levels. Feature repeatability was dependent more on feature types than on reconstruction. A total of 45 reliable features and 13 unreliable features were finally determined for SENSE, compared with 22 reliable and 26 unreliable features for compressed SENSE. First-order and gray-level co-occurrence matrix features were generally more reliable than other features.
Radiomics features could be substantially affected by MRI reconstruction, so precautions need to be taken regarding their reliability for clinical use. This study helps the guidance of the preselection of reliable radiomics features and the preclusion of unreliable features in MR-guided radiotherapy.
前瞻性研究图像重建对 MRI 放射组学特征的影响。
在 1.5T 下，使用标准的磁共振引导放射治疗序列，在 SENSE 和压缩 SENSE 重建设置下对人体模型进行扫描。总共评估了 10 个感兴趣区的 93 个一阶和纹理放射组学特征，基于：(1)参考值的百分比偏差测量的准确性；(2)所有感兴趣区的重建的稳健性，通过组内相关系数测量；(3)通过重复采集的变异系数测量的重复性。最后，基于准确性、稳健性和重复性综合确定可靠和不可靠的放射组学特征。
与压缩 SENSE 重建相比，SENSE 重建下的放射组学特征具有更好的准确性和稳健性。SENSE 重建下的特征准确性受加速因子的影响大于方向，而在压缩 SENSE 重建下，准确性受到降噪水平增加的显著影响。特征重复性更多地取决于特征类型而不是重建。SENSE 最终确定了 45 个可靠特征和 13 个不可靠特征，而压缩 SENSE 则确定了 22 个可靠特征和 26 个不可靠特征。一阶和灰度共生矩阵特征通常比其他特征更可靠。
放射组学特征可能会受到 MRI 重建的显著影响，因此在临床应用中需要注意其可靠性。本研究有助于指导可靠放射组学特征的预选和排除磁共振引导放射治疗中的不可靠特征。
