Sanvito Francesco, Yao Jingwen, Cho Nicholas S, Telesca Donatello, Salamon Noriko, Cloughesy Timothy F, Ellingson Benjamin M
UCLA Brain Tumor Imaging Laboratory (BTIL), Center for Computer Vision and Imaging Biomarkers, University of California Los Angeles, Los Angeles, CA, USA.
Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA.
Neuroradiology. 2025 Mar 11. doi: 10.1007/s00234-025-03580-7.
The universalizability of the metric percentage of signal recovery (PSR) derived from dynamic susceptibility contrast (DSC) perfusion MRI is limited by its dependency of acquisition parameters. In this technical assessment, we tested different reference tissues for PSR normalization and found the normal-appearing white matter (NAWM) to have the least inter-patient variability when using a fixed PSR-optimized protocol. A logarithmic normalization using NAWM improved the consistency of PSR values when a cohort of brain tumor patients was analyzed by synthetically changing acquisition parameters (while keeping the protocol uniform within the cohort). Additionally, the NAWM logarithmic normalization was better than no normalization and linear normalization at maintaining the consistency of both values and ranks within the cohort while a synthetic random variation of the acquisition parameter was applied (i.e., with a heterogeneous protocol within the cohort). Future PSR studies may consider reporting logarithmic normalized PSR (nPSR) values to potentially improve the comparability across studies.
基于动态磁敏感对比（DSC）灌注磁共振成像得出的信号恢复百分比（PSR）指标的通用性受到其对采集参数依赖性的限制。在这项技术评估中，我们测试了用于PSR标准化的不同参考组织，发现在使用固定的PSR优化方案时，正常外观的白质（NAWM）在患者间的变异性最小。当通过综合改变采集参数（同时在队列中保持方案一致）对一组脑肿瘤患者进行分析时，使用NAWM进行对数标准化提高了PSR值的一致性。此外，在应用采集参数的合成随机变化时（即队列中的方案异质性），NAWM对数标准化在保持队列中值和秩的一致性方面优于无标准化和线性标准化。未来的PSR研究可能会考虑报告对数标准化的PSR（nPSR）值，以潜在地提高研究之间的可比性。
