Rik van den Elshout , Jenny Schoenmakers , Andor Veltien , Lucas Boer , Benno Küsters , Geert Litjens , Frederick Anton Meijer , Anja van der Kolk , Tom Scheenen , Maximilian Wiesmann , Dylan Henssen
{"title":"Post-mortem 11.7 T DTI validation of myeloarchitectural changes in glioblastoma infiltration: Correlation with histology and PLI","authors":"Rik van den Elshout , Jenny Schoenmakers , Andor Veltien , Lucas Boer , Benno Küsters , Geert Litjens , Frederick Anton Meijer , Anja van der Kolk , Tom Scheenen , Maximilian Wiesmann , Dylan Henssen","doi":"10.1016/j.brainresbull.2025.111526","DOIUrl":null,"url":null,"abstract":"<div><div>Ultra-high field MRI is believed to hold potential for detecting microstructural changes that occur in light of tumor infiltration in glioblastoma patients, although studies with histological validation are lacking. This study, therefore, used 11.7 T diffusion tensor imaging (DTI) to determine the extent of infiltration in post-mortem glioblastoma-affected brain with histological validation. Three post-mortem specimens with glioblastoma underwent 11.7 T DTI from which mean diffusivity (MD), radial diffusivity (RD), axial diffusivity (AD) and fractional anisotropy (FA) were extracted. Tissue samples were also investigated using hematoxylin-eosin (HE) and luxol fast blue (LFB) stains, as well as Polarized Light Imaging (PLI) microscopy. Regions of interest (ROIs) of normal white matter (NWM) and tumor infiltration were generated on HE stain-based nucleus density maps. The metrics of the NWM ROIs were compared to the metrics of the ROIs covering the regions with tumor infiltration. Metrics were subjected to a correlation analysis to assess the correlation between nucleus density data, diffusion-, PLI- and LFB data. Significant differences were found between NWM and regions of tumor infiltration for MD-, RD-, LFB- and PLI-retardance values (p = 0.036, p = 0.010, p = 0.007 and p < 0.001, respectively). A correlation between nucleus density and diffusivity metrics was found, but not with measures for myeloarchitectural changes (LFB and PLI). Also, a significant correlation between PLI-retardance values and LFB values was found (p < 0.001). Based on DTI metrics and histological validation methods, myeloarchitectural alterations (e.g., fiber displacement) were considered the prime driver of measurable changes in the regions of tumor invasion in glioblastoma patients. Although this study shows the potential of ultra-high field MRI in detecting microstructural changes caused by glioblastoma infiltration, future studies are needed to assess these results in the clinical setting.</div></div>","PeriodicalId":9302,"journal":{"name":"Brain Research Bulletin","volume":"230 ","pages":"Article 111526"},"PeriodicalIF":3.7000,"publicationDate":"2025-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Brain Research Bulletin","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0361923025003387","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"NEUROSCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
Ultra-high field MRI is believed to hold potential for detecting microstructural changes that occur in light of tumor infiltration in glioblastoma patients, although studies with histological validation are lacking. This study, therefore, used 11.7 T diffusion tensor imaging (DTI) to determine the extent of infiltration in post-mortem glioblastoma-affected brain with histological validation. Three post-mortem specimens with glioblastoma underwent 11.7 T DTI from which mean diffusivity (MD), radial diffusivity (RD), axial diffusivity (AD) and fractional anisotropy (FA) were extracted. Tissue samples were also investigated using hematoxylin-eosin (HE) and luxol fast blue (LFB) stains, as well as Polarized Light Imaging (PLI) microscopy. Regions of interest (ROIs) of normal white matter (NWM) and tumor infiltration were generated on HE stain-based nucleus density maps. The metrics of the NWM ROIs were compared to the metrics of the ROIs covering the regions with tumor infiltration. Metrics were subjected to a correlation analysis to assess the correlation between nucleus density data, diffusion-, PLI- and LFB data. Significant differences were found between NWM and regions of tumor infiltration for MD-, RD-, LFB- and PLI-retardance values (p = 0.036, p = 0.010, p = 0.007 and p < 0.001, respectively). A correlation between nucleus density and diffusivity metrics was found, but not with measures for myeloarchitectural changes (LFB and PLI). Also, a significant correlation between PLI-retardance values and LFB values was found (p < 0.001). Based on DTI metrics and histological validation methods, myeloarchitectural alterations (e.g., fiber displacement) were considered the prime driver of measurable changes in the regions of tumor invasion in glioblastoma patients. Although this study shows the potential of ultra-high field MRI in detecting microstructural changes caused by glioblastoma infiltration, future studies are needed to assess these results in the clinical setting.
期刊介绍:
The Brain Research Bulletin (BRB) aims to publish novel work that advances our knowledge of molecular and cellular mechanisms that underlie neural network properties associated with behavior, cognition and other brain functions during neurodevelopment and in the adult. Although clinical research is out of the Journal''s scope, the BRB also aims to publish translation research that provides insight into biological mechanisms and processes associated with neurodegeneration mechanisms, neurological diseases and neuropsychiatric disorders. The Journal is especially interested in research using novel methodologies, such as optogenetics, multielectrode array recordings and life imaging in wild-type and genetically-modified animal models, with the goal to advance our understanding of how neurons, glia and networks function in vivo.