Radiomic white matter parameters of functional integrity of the corticospinal tract in high-grade glioma.
Humans
Pyramidal Tracts
/ diagnostic imaging
Glioma
/ diagnostic imaging
Male
Female
Middle Aged
White Matter
/ diagnostic imaging
Diffusion Tensor Imaging
/ methods
Brain Neoplasms
/ diagnostic imaging
Retrospective Studies
Adult
Aged
Neoplasm Grading
Anisotropy
Paresis
/ diagnostic imaging
Radiomics
Journal
Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288
Informations de publication
Date de publication:
05 06 2024
05 06 2024
Historique:
received:
19
04
2024
accepted:
03
06
2024
medline:
6
6
2024
pubmed:
6
6
2024
entrez:
5
6
2024
Statut:
epublish
Résumé
Tractography has become a widely available tool for the planning of neurosurgical operations as well as for neuroscientific research. The absence of patient interaction makes it easily applicable. However, it leaves uncertainty about the functional relevance of the identified bundles. We retrospectively analyzed the correlation of white matter markers with their clinical function in 24 right-handed patients who underwent first surgery for high-grade glioma. Morphological affection of the corticospinal tract (CST) and grade of paresis were assessed before surgery. Tractography was performed manually with MRTrix3 and automatically with TractSeg. Median and mean fractional anisotropy (FA) from manual tractography showed a significant correlation with CST affection (p = 0.008) and paresis (p = 0.015, p = 0.026). CST affection correlated further most with energy, and surface-volume ratio (p = 0.014) from radiomic analysis. Paresis correlated most with maximum 2D column diameter (p = 0.005), minor axis length (p = 0.006), and kurtosis (p = 0.008) from radiomic analysis. Streamline count yielded no significant correlations. In conclusion, mean or median FA can be used for the assessment of CST integrity in high-grade glioma. Also, several radiomic parameters are suited to describe tract integrity and may be used to quantitatively analyze white matter in the future.
Identifiants
pubmed: 38839940
doi: 10.1038/s41598-024-63813-2
pii: 10.1038/s41598-024-63813-2
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
12891Informations de copyright
© 2024. The Author(s).
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