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dc.contributor.authorvan den Elshout, Rik
dc.contributor.authorAriëns, Benthe
dc.contributor.authorBlaauboer, Joost
dc.contributor.authorMeijer, Frederick J A
dc.contributor.authorvan der Kolk, Anja G
dc.contributor.authorEsmaeili, Morteza
dc.contributor.authorScheenen, Tom W J
dc.contributor.authorHenssen, Dylan J H A
dc.date.accessioned2024-01-24T11:31:34Z
dc.date.available2024-01-24T11:31:34Z
dc.date.created2024-01-22T13:28:30Z
dc.date.issued2023
dc.identifier.citationvan den Elshout, R., Ariëns, B., Blaauboer, J., Meijer, F. J., van der Kolk, A. G., Esmaeili, M., ... & Henssen, D. J. (2024). Quantification of perineural satellitosis in pretreatment glioblastoma with structural MRI and a diffusion tensor imaging template. Neuro-Oncology Advances, 6(1), vdad168.en_US
dc.identifier.issn2632-2498
dc.identifier.urihttps://hdl.handle.net/11250/3113549
dc.description.abstractBackground Survival outcomes for glioblastoma (GBM) patients remain unfavorable, and tumor recurrence is often observed. Understanding the radiological growth patterns of GBM could aid in improving outcomes. This study aimed to examine the relationship between contrast-enhancing tumor growth direction and white matter, using an image registration and deformation strategy. Methods In GBM patients 2 pretreatment scans (diagnostic and neuronavigation) were gathered retrospectively, and coregistered to a template and diffusion tensor imaging (DTI) atlas. The GBM lesions were segmented and coregistered to the same space. Growth vectors were derived and divided into vector populations parallel (Φ = 0–20°) and perpendicular (Φ = 70–90°) to white matter. To test for statistical significance between parallel and perpendicular groups, a paired samples Student’s t-test was performed. O6-methylguanine-DNA methyltransferase (MGMT) methylation status and its correlation to growth rate were also tested using a one-way ANOVA test. Results For 78 GBM patients (mean age 61 years ± 13 SD, 32 men), the included GBM lesions showed a predominant preference for perineural satellitosis (P < .001), with a mean percentile growth of 30.8% (95% CI: 29.6–32.0%) parallel (0° < |Φ| < 20°) to white matter. Perpendicular tumor growth with respect to white matter microstructure (70° < |Φ| < 90°) showed to be 22.7% (95% CI: 21.3–24.1%) of total tumor growth direction. Conclusions The presented strategy showed that tumor growth direction in pretreatment GBM patients correlated with white matter architecture. Future studies with patient-specific DTI data are required to verify the accuracy of this method prospectively to identify its usefulness as a clinical metric in pre and posttreatment settings.en_US
dc.language.isoengen_US
dc.publisherOxford University Pressen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleQuantification of perineural satellitosis in pretreatment glioblastoma with structural MRI and a diffusion tensor imaging templateen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.rights.holder© The Author(s) 2023en_US
dc.subject.nsiVDP::Medisinske Fag: 700en_US
dc.source.volume6en_US
dc.source.journalNeuro-Oncology Advances (NOA)en_US
dc.source.issue1en_US
dc.identifier.doi10.1093/noajnl/vdad168
dc.identifier.cristin2231945
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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