Gemmell Alastair J, Brown Colin M, Ray Surajit, Small Alexander
College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, UK.
Department of Clinical Physics & Bioengineering, NHS Greater Glasgow & Clyde, Glasgow, UK.
EJNMMI Phys. 2025 Apr 17;12(1):40. doi: 10.1186/s40658-025-00749-0.
Textural Analysis features in molecular imaging require to be robust under repeat measurement and to be independent of volume for optimum use in clinical studies. Recent EANM and SNMMI guidelines for radiomics provide advice on the potential use of phantoms to identify robust features (Hatt in EJNMMI, 2022). This study applies the suggested phantoms to use in SPECT quantification for two radionuclides, Tc and Lu.
Acquisitions were made with a uniform phantom to test volume dependency and with a customised 'Revolver' phantom, based on the PET phantom described in Hatt (EJNMMI, 2022) but with local adaptations for SPECT. Each phantom was filled separately with Tc and Lu. Sixty-seven Textural Analysis features were extracted and tested for robustness and volume dependency.
Features showing high volume dependency or high Coefficient of Variation (indicating poor repeatability) were removed from the list of features that may be suitable for use in clinical studies. After feature reduction, there were 39 features for Tc and 33 features for Lu remaining.
The use of a uniform phantom to test volume dependency and a Revolver phantom to identify repeatable Textural Analysis features is possible for quantitative SPECT using Tc or Lu. Selection of such features is likely to be centre-dependent due to differences in camera performance as well as acquisition and reconstruction protocols.
分子成像中的纹理分析特征需要在重复测量下保持稳健，并且与体积无关，以便在临床研究中得到最佳应用。欧洲核医学与分子影像学会（EANM）和核医学与分子影像学会（SNMMI）最近的放射组学指南就使用体模识别稳健特征提供了建议（哈特，《欧洲核医学与分子影像杂志》，2022年）。本研究将建议的体模应用于两种放射性核素锝（Tc）和镥（Lu）的单光子发射计算机断层扫描（SPECT）定量分析。
使用均匀体模测试体积依赖性，并使用定制的“旋转体模”，该体模基于哈特（《欧洲核医学与分子影像杂志》，2022年）描述的正电子发射断层扫描（PET）体模，但针对SPECT进行了局部调整。每个体模分别填充Tc和Lu。提取67个纹理分析特征，并测试其稳健性和体积依赖性。
显示出高体积依赖性或高变异系数（表明重复性差）的特征从可能适用于临床研究的特征列表中剔除。经过特征缩减后，Tc剩余39个特征，Lu剩余33个特征。
对于使用Tc或Lu的定量SPECT，使用均匀体模测试体积依赖性和使用旋转体模识别可重复的纹理分析特征是可行的。由于相机性能以及采集和重建协议的差异，此类特征的选择可能因中心而异。
