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<p>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 <i>uniform</i> 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 <i>heterogeneous</i> protocol within the cohort). Future PSR studies may consider reporting logarithmic normalized PSR (nPSR<sub>ln</sub>) values to potentially improve the comparability across studies.</p>

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Normalization of the percentage of signal recovery derived from dynamic susceptibility contrast perfusion MRI in brain tumors

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年3月11日

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  • Francesco Sanvito,
  • Jingwen Yao,
  • Nicholas S. Cho,
  • Donatello Telesca,
  • Noriko Salamon,
  • Timothy F. Cloughesy,
  • Benjamin M. Ellingson

摘要

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 (nPSRln) values to potentially improve the comparability across studies.