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Record W4414580343 · doi:10.1093/braincomms/fcaf368

Unraveling differences and hallmarks in suspected diffuse low-grade gliomas: a multicenter database study

2025· article· en· W4414580343 on OpenAlexaboutno aff
Francesco Latini, Markus Fahlström, Alice Neimantaite, Tomás Gómez Vecchio, Alba Corell, Ole Solheim, Sasha Gulati, Peter Milos, Björn Sjögren, Lars Kjelsberg Pedersen, Anna Lipatnikova, Klas Holmgren, Rickard L. Sjöberg, Henrietta Nittby Redebrandt, Gregor Tomasevic, Ruby Mahesparan, Øystein Vesterli Tveiten, Erik Thurin, Margret Jensdottir, Jir̂í Bártek, Maria Zetterling, Asgeir Store Jakola

Bibliographic record

VenueBrain Communications · 2025
Typearticle
Languageen
FieldMedicine
TopicGlioma Diagnosis and Treatment
Canadian institutionsnot available
Fundersnot available
KeywordsVoxelMultivariate analysisVoxel-based morphometryCognitionRadiological weaponWhite matterPhenotypeNatural historyNeuroimaging

Abstract

fetched live from OpenAlex

Abstract The natural history of suspected diffuse low-grade gliomas (DLGG) depends heavily upon the molecular status. To fully comprehend this integrated information preoperatively, a clinical phenotype incorporating both clinical and radiological information may be of value. We aimed to analyze this systematically in a large multicenter study to identify clinical/radiological phenotypes of DLGG molecular subgroups at the onset. Patients from 9 Scandinavian centers, with confirmed World Health Organization (WHO) grade 2 at the time of diagnosis (according to WHO 2016/2007 classification), known molecular status (isocitrate dehydrogenase [IDH] status and 1p19q co-deletion status) and preoperative images of adequate quality, were analyzed. MRI-based tumor volume segmentation was used to create a frequency map of their locations into the Montreal Neurological Institute space. The Brain-Grid (BG) system was used for tumor invasiveness analysis. Variables were analyzed for each subgroup of DLGG with regression analyses. 235 patients were included. The three molecular subgroups differed in age, tumor location, epileptic onset, and cognitive status. Seizure onset was linked to the number of BG voxels and A3C2S2 location in all three molecular groups. Cognitive deficits were related to increasing age (IDH-mutated-Oligodendrogliomas), female gender (IDH-wildtype) and tumor volume (Oligodendrogliomas). Patients with IDH-mutated astrocytomas (n=65) displayed younger age, left sided fronto-insular preferential location, infiltration of anterior ventral inferior fronto-occipital fasciculus (IFOF) and external capsule, and seizure as onset symptom. Oligodendrogliomas (n=116) were more often found in patients >40yo, with frontal location, dorsal IFOF, frontal aslant tract and superior longitudinal fasciculus invasion, and seizures as onset symptom. IDH-wildtype astrocytomas (n=54) displayed: age >40yo, left-sided temporo-insular preferential location, invasion of posterior IFOF and Cortico-spinal tract, cognitive deficits at onset and the infiltration of posterior left peri-insular voxel (A3C2S3) as a strong predictor of IDH-wildtype final diagnosis. Using an integrated clinic-radiological approach we identified differences in age, clinical presentation, preferential location, and white matter infiltration among specific molecular subgroups of suspected DLGG. The systematic combination of patient-specific variables (age/clinical onset) and tumor-specific features (sub-lobar preferential location) may be relevant to create future prediction models and to better understand the onco-functional trajectory already at the preoperative stage. Prediction models may benefit from combining information rather than, for instance, analyzing images only.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.018
Threshold uncertainty score0.468

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.036
GPT teacher head0.339
Teacher spread0.303 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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