MR-tractography is increasingly used as a clinical tool to visualize subcortical tracts and to plan brain tumor surgery [
1]. The anatomical relationship between a brain tumor and nearby subcortical tracts can be used to determine a safe surgical corridor and plan and is predictive of the extent of resection (EOR) [
2,
3]. This is especially relevant in the case of low-grade glioma (LGG), as LGGs have a diffuse growth pattern, and the EOR is strongly related to survival time [
4]. Determining the EOR of LGGs therefore requires a careful balance between the removal of tumor tissue and sparing functional subcortical brain tissue. Therefore, when determining the EOR, spatial information on the anatomical relationship may provide valuable insight. Currently, a clear and uniform clinical classification system to classify the spatial patterns of subcortical tract alterations specifically for LGGs is lacking. For all types of brain tumors (low- and high-grade gliomas, metastases), three non-uniform systems have been reported [
5‐
7]. These systems distinguish, amongst others, between the patterns of displacement and infiltration but also rely their classification on fractional anisotropy (FA), mean diffusivity (MD), and/or directional color maps. From clinical experience, it caught our attention that the different spatial patterns may also be linked to the 1p19q status of the LGG, whereby in case of displacement, the histopathological examination resulted more often in the absence of a 1p19q codeletion (astrocytoma), while in case of infiltration, this resulted more often in the presence of a 1p19q codeletion (oligodendrogliomas). In the field of radiomics, several attempts have been made to classify 1p19q status in LGGs. A recent systematic review that investigated MRI radiomics and 1p19q deletion demonstrated that texture-based radiomics could classify 1p19q status in IDH-mutated LGGs with a maximum sensitivity of 85% and specificity of 77%, but that clinical application was limited due to the high heterogeneity between each of the radiomic pipelines [
8]. In addition, none of the papers included MR-tractography for classification of the 1p19q status. Currently, it remains unknown whether the different clinically observed spatial patterns are related to the 1p19q status of LGGs. The aim of this exploratory study was to investigate this hypothesis for the frontal aslant tract (FAT) in LGG patients, whereby we hypothesize that displacement is associated with astrocytomas and infiltration with oligodendrogliomas.