Samuel A Bobholz, Daniel Aaronsen, Aleksandra Winiarz, Savannah R Duenweg, Allison K Lowman, Michael Flatley, Fitzgerald Kyereme, Jennifer Connelly, E Kelly S Mrachek, Max O Krucoff, Anjishnu Banerjee, Peter S LaViolette
{"title":"放射病理图与胶质瘤特征相关的扩散和灌注MRI多位点回顾性分析。","authors":"Samuel A Bobholz, Daniel Aaronsen, Aleksandra Winiarz, Savannah R Duenweg, Allison K Lowman, Michael Flatley, Fitzgerald Kyereme, Jennifer Connelly, E Kelly S Mrachek, Max O Krucoff, Anjishnu Banerjee, Peter S LaViolette","doi":"10.1093/neuonc/noaf044","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>This study determines the relationship between diffusion and perfusion-based magnetic resonance imaging signatures and radio-pathomic maps of tumor pathology in a large, multi-site cohort.</p><p><strong>Methods: </strong>This study included perfusion imaging from presurgical relative cerebral blood volume (rCBV) images from the UPenn-GBM dataset and presurgical arterial spin labeling (ASL) imaging from the UCSF-PDGM dataset. Diffusion imaging included fractional anisotropy (FA) estimates derived from diffusion tensor imaging for each subject from each institution. A previously validated autopsy-based model was applied to the structural images from each patient to generate quantitative radio-pathomic maps of cell density and extracellular fluid (ECF). Mean cell density, ECF density, FA, rCBV calculated from dynamic susceptibility contrast imaging, and rCBF calculated from ASL were computed for each patient and statistically compared within contrast-enhancement (CE) and the non-enhancing peritumor FLAIR hyperintensity (FH).</p><p><strong>Results: </strong>Both rCBV and ASL showed a positive correlation with cell density within CE (rCBV: R = 0.280, P < .001; ASL: R = 0.117, P = .023). However, both perfusion metrics also showed no association with cell density within the FH region at the group level (rCBV: R = 0.0162, P = .731; ASL: R = -0.020, P = .652). Negative correlations were observed between FA and ECF density across both CE and FH in both the UPenn-GBM (CE: r = -.204, P < .001, FH: r = -.332, P < .001) and the UCSF-PDGM (CE:r = -.179, P < .001, FH:-0.355, P < .001). Additionally, a positive ASL-cell density association per subject within FH was associated with a worse survival prognosis (HR = 5.58, P = .022).</p><p><strong>Conclusions: </strong>These results suggest that radio-pathomic maps of tumor pathology provide complementary information to other MR signatures that reveal prognostically valuable signatures of the non-enhancing tumor margin.</p>","PeriodicalId":19377,"journal":{"name":"Neuro-oncology","volume":" ","pages":"1899-1909"},"PeriodicalIF":13.4000,"publicationDate":"2025-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12417833/pdf/","citationCount":"0","resultStr":"{\"title\":\"Multi-site retrospective analysis of diffusion and perfusion magnetic resonance imaging correlates to glioma characteristics derived from radio-pathomic maps.\",\"authors\":\"Samuel A Bobholz, Daniel Aaronsen, Aleksandra Winiarz, Savannah R Duenweg, Allison K Lowman, Michael Flatley, Fitzgerald Kyereme, Jennifer Connelly, E Kelly S Mrachek, Max O Krucoff, Anjishnu Banerjee, Peter S LaViolette\",\"doi\":\"10.1093/neuonc/noaf044\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>This study determines the relationship between diffusion and perfusion-based magnetic resonance imaging signatures and radio-pathomic maps of tumor pathology in a large, multi-site cohort.</p><p><strong>Methods: </strong>This study included perfusion imaging from presurgical relative cerebral blood volume (rCBV) images from the UPenn-GBM dataset and presurgical arterial spin labeling (ASL) imaging from the UCSF-PDGM dataset. Diffusion imaging included fractional anisotropy (FA) estimates derived from diffusion tensor imaging for each subject from each institution. A previously validated autopsy-based model was applied to the structural images from each patient to generate quantitative radio-pathomic maps of cell density and extracellular fluid (ECF). Mean cell density, ECF density, FA, rCBV calculated from dynamic susceptibility contrast imaging, and rCBF calculated from ASL were computed for each patient and statistically compared within contrast-enhancement (CE) and the non-enhancing peritumor FLAIR hyperintensity (FH).</p><p><strong>Results: </strong>Both rCBV and ASL showed a positive correlation with cell density within CE (rCBV: R = 0.280, P < .001; ASL: R = 0.117, P = .023). However, both perfusion metrics also showed no association with cell density within the FH region at the group level (rCBV: R = 0.0162, P = .731; ASL: R = -0.020, P = .652). Negative correlations were observed between FA and ECF density across both CE and FH in both the UPenn-GBM (CE: r = -.204, P < .001, FH: r = -.332, P < .001) and the UCSF-PDGM (CE:r = -.179, P < .001, FH:-0.355, P < .001). Additionally, a positive ASL-cell density association per subject within FH was associated with a worse survival prognosis (HR = 5.58, P = .022).</p><p><strong>Conclusions: </strong>These results suggest that radio-pathomic maps of tumor pathology provide complementary information to other MR signatures that reveal prognostically valuable signatures of the non-enhancing tumor margin.</p>\",\"PeriodicalId\":19377,\"journal\":{\"name\":\"Neuro-oncology\",\"volume\":\" \",\"pages\":\"1899-1909\"},\"PeriodicalIF\":13.4000,\"publicationDate\":\"2025-09-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12417833/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Neuro-oncology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1093/neuonc/noaf044\",\"RegionNum\":1,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CLINICAL NEUROLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Neuro-oncology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1093/neuonc/noaf044","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
Multi-site retrospective analysis of diffusion and perfusion magnetic resonance imaging correlates to glioma characteristics derived from radio-pathomic maps.
Background: This study determines the relationship between diffusion and perfusion-based magnetic resonance imaging signatures and radio-pathomic maps of tumor pathology in a large, multi-site cohort.
Methods: This study included perfusion imaging from presurgical relative cerebral blood volume (rCBV) images from the UPenn-GBM dataset and presurgical arterial spin labeling (ASL) imaging from the UCSF-PDGM dataset. Diffusion imaging included fractional anisotropy (FA) estimates derived from diffusion tensor imaging for each subject from each institution. A previously validated autopsy-based model was applied to the structural images from each patient to generate quantitative radio-pathomic maps of cell density and extracellular fluid (ECF). Mean cell density, ECF density, FA, rCBV calculated from dynamic susceptibility contrast imaging, and rCBF calculated from ASL were computed for each patient and statistically compared within contrast-enhancement (CE) and the non-enhancing peritumor FLAIR hyperintensity (FH).
Results: Both rCBV and ASL showed a positive correlation with cell density within CE (rCBV: R = 0.280, P < .001; ASL: R = 0.117, P = .023). However, both perfusion metrics also showed no association with cell density within the FH region at the group level (rCBV: R = 0.0162, P = .731; ASL: R = -0.020, P = .652). Negative correlations were observed between FA and ECF density across both CE and FH in both the UPenn-GBM (CE: r = -.204, P < .001, FH: r = -.332, P < .001) and the UCSF-PDGM (CE:r = -.179, P < .001, FH:-0.355, P < .001). Additionally, a positive ASL-cell density association per subject within FH was associated with a worse survival prognosis (HR = 5.58, P = .022).
Conclusions: These results suggest that radio-pathomic maps of tumor pathology provide complementary information to other MR signatures that reveal prognostically valuable signatures of the non-enhancing tumor margin.
期刊介绍：
Neuro-Oncology, the official journal of the Society for Neuro-Oncology, has been published monthly since January 2010. Affiliated with the Japan Society for Neuro-Oncology and the European Association of Neuro-Oncology, it is a global leader in the field.
The journal is committed to swiftly disseminating high-quality information across all areas of neuro-oncology. It features peer-reviewed articles, reviews, symposia on various topics, abstracts from annual meetings, and updates from neuro-oncology societies worldwide.
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