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

IF 2.6 3区医学 Q2 CLINICAL NEUROLOGY Neuroradiology Pub Date : 2025-06-01 Epub Date: 2025-03-11 DOI:10.1007/s00234-025-03580-7

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

{"title":"Normalization of the percentage of signal recovery derived from dynamic susceptibility contrast perfusion MRI in brain tumors.","authors":"Francesco Sanvito, Jingwen Yao, Nicholas S Cho, Donatello Telesca, Noriko Salamon, Timothy F Cloughesy, Benjamin M Ellingson","doi":"10.1007/s00234-025-03580-7","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":19422,"journal":{"name":"Neuroradiology","volume":" ","pages":"1405-1410"},"PeriodicalIF":2.6000,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12357792/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Neuroradiology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1007/s00234-025-03580-7","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/3/11 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}

引用次数: 0

Abstract

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_ln) values to potentially improve the comparability across studies.

查看原文

微信好友朋友圈 QQ好友复制链接

本刊更多论文

脑肿瘤动态敏感性对比灌注MRI信号恢复百分比的归一化。

动态易感对比（DSC）灌注磁共振成像得出的信号恢复百分比（PSR）指标的通用性受限于其对采集参数的依赖性。在这项技术评估中，我们测试了用于PSR归一化的不同参考组织，发现在使用固定的PSR优化方案时，正常显示白质（NAWM）的患者间变异性最小。在分析一组脑肿瘤患者时，通过合成改变采集参数（同时保持组内方案一致），使用 NAWM 对数归一化提高了 PSR 值的一致性。此外，NAWM 对数归一化比不归一化和线性归一化更能在采集参数合成随机变化时（即队列中存在异构方案时）保持队列中数值和等级的一致性。未来的 PSR 研究可能会考虑报告对数归一化 PSR（nPSRln）值，以提高不同研究之间的可比性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文去求助

来源期刊

Neuroradiology 医学-核医学

CiteScore

5.30

自引率

3.60%

发文量

214

审稿时长

4-8 weeks

期刊介绍： Neuroradiology aims to provide state-of-the-art medical and scientific information in the fields of Neuroradiology, Neurosciences, Neurology, Psychiatry, Neurosurgery, and related medical specialities. Neuroradiology as the official Journal of the European Society of Neuroradiology receives submissions from all parts of the world and publishes peer-reviewed original research, comprehensive reviews, educational papers, opinion papers, and short reports on exceptional clinical observations and new technical developments in the field of Neuroimaging and Neurointervention. The journal has subsections for Diagnostic and Interventional Neuroradiology, Advanced Neuroimaging, Paediatric Neuroradiology, Head-Neck-ENT Radiology, Spine Neuroradiology, and for submissions from Japan. Neuroradiology aims to provide new knowledge about and insights into the function and pathology of the human nervous system that may help to better diagnose and treat nervous system diseases. Neuroradiology is a member of the Committee on Publication Ethics (COPE) and follows the COPE core practices. Neuroradiology prefers articles that are free of bias, self-critical regarding limitations, transparent and clear in describing study participants, methods, and statistics, and short in presenting results. Before peer-review all submissions are automatically checked by iThenticate to assess for potential overlap in prior publication.