Boukerroui Djamal, Vasquez Osorio Eliana, Brunenberg Ellen, Gooding Mark J
Mirada Medical Ltd, Oxford, United Kingdom.
University of Manchester, Manchester, United Kingdom.
Phys Imaging Radiat Oncol. 2023 Apr 3;26:100436. doi: 10.1016/j.phro.2023.100436. eCollection 2023 Apr.
A high level of variability in reported values was observed in a recent survey of contour similarity measures (CSMs) calculation tools. Such variations in the output measurements prevent meaningful comparison between studies. The purpose of this study was to develop a dataset with analytically calculated gold standard values to facilitate standardization and ensure accuracy of CSM implementations. The dataset was generated in the Digital Imaging and Communications in Medicine (DICOM) format. Both the dataset and the software used for its generation are made publicly available to encourage robust testing of CSM implementations for accuracy, improving consistency between different implementations.
在最近一项关于轮廓相似性度量(CSM)计算工具的调查中,观察到报告值存在高度变异性。输出测量中的此类变化阻碍了不同研究之间进行有意义的比较。本研究的目的是开发一个具有经分析计算得出的金标准值的数据集,以促进标准化并确保CSM实施的准确性。该数据集以医学数字成像和通信(DICOM)格式生成。数据集及其生成所使用的软件均已公开提供,以鼓励对CSM实施的准确性进行严格测试,提高不同实施之间的一致性。