Evidence map›Paper›PMID 42771086›Full record

ArticleJournal of neuro-oncology2026

Malignant transformation of lower-grade glioma: contrast enhancement, extent of resection, and the natural history under interval-censored analysis.

Baran Atli, Maximilian Wartha, Matthias Gmeiner, Martin Aichholzer, Serge Weis, Dominik Vorhauer, Helga Wagner, Tanja Hauer, Carlo Serra, Petra Böhm and 14 more

Abstract read
In one paragraph

Article in Journal of neuro-oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

24 authors.

Baran AtliDepartment of Neurosurgery, Kepler University Hospital, Johannes Kepler University Linz, Neuromed Campus, Wagner-Jauregg-Weg 15, Linz, 4020, Austria.
Maximilian WarthaDepartment of Neurosurgery, Kepler University Hospital, Johannes Kepler University Linz, Neuromed Campus, Wagner-Jauregg-Weg 15, Linz, 4020, Austria. Maximilian.Wartha@kepleruniklinikum.at.
Matthias GmeinerDepartment of Neurosurgery, Kepler University Hospital, Johannes Kepler University Linz, Neuromed Campus, Wagner-Jauregg-Weg 15, Linz, 4020, Austria.
Martin AichholzerDepartment of Neurosurgery, Kepler University Hospital, Johannes Kepler University Linz, Neuromed Campus, Wagner-Jauregg-Weg 15, Linz, 4020, Austria.
Serge WeisDivision of Neuropathology, Department of Pathology and Molecular Pathology, Kepler University Hospital, Linz, Austria.
Dominik VorhauerJohannes Kepler University Linz, Linz, Austria.
Helga WagnerInstitute of Statistics, Johannes Kepler University, Linz, Austria.
Tanja HauerInstitute of Statistics, Johannes Kepler University, Linz, Austria.
Carlo SerraDepartment of Neurosurgery, Clinical Neuroscience Center, University Hospital, University of Zurich, Zurich, Switzerland.
Petra BöhmDepartment of Neurosurgery, Kepler University Hospital, Johannes Kepler University Linz, Neuromed Campus, Wagner-Jauregg-Weg 15, Linz, 4020, Austria.
Michael SonnbergerInstitute of Neuroradiology, Kepler University Hospital, Johannes Kepler University, Linz, Austria.
Nico Stroh-HollyDepartment of Neurosurgery, Kepler University Hospital, Johannes Kepler University Linz, Neuromed Campus, Wagner-Jauregg-Weg 15, Linz, 4020, Austria.
Stefan AspalterDepartment of Neurosurgery, Kepler University Hospital, Johannes Kepler University Linz, Neuromed Campus, Wagner-Jauregg-Weg 15, Linz, 4020, Austria.
Kathrin AufschnaiterDepartment of Neurosurgery, Kepler University Hospital, Johannes Kepler University Linz, Neuromed Campus, Wagner-Jauregg-Weg 15, Linz, 4020, Austria.
Tobias RossmannDepartment of Neurosurgery, Kepler University Hospital, Johannes Kepler University Linz, Neuromed Campus, Wagner-Jauregg-Weg 15, Linz, 4020, Austria.
Maria GollwitzerDepartment of Neurosurgery, Kepler University Hospital, Johannes Kepler University Linz, Neuromed Campus, Wagner-Jauregg-Weg 15, Linz, 4020, Austria.
Jawed ZiaiDepartment of Neurosurgery, University Hospital St. Pölten, Karl Landsteiner University of Health Sciences, St. Pölten, Austria.
Annette LeibetsederDepartment of Neurology, Kepler University Hospital, Johannes Kepler University Linz, Linz, Austria.
Josef PichlerDepartment of Neurology, Kepler University Hospital, Johannes Kepler University Linz, Linz, Austria.
Wolfgang ThomaeDepartment of Neurosurgery, Kepler University Hospital, Johannes Kepler University Linz, Neuromed Campus, Wagner-Jauregg-Weg 15, Linz, 4020, Austria.
Christian DorferDepartment of Neurosurgery, University Hospital St. Pölten, Karl Landsteiner University of Health Sciences, St. Pölten, Austria.
Andreas GruberDepartment of Neurosurgery, Kepler University Hospital, Johannes Kepler University Linz, Neuromed Campus, Wagner-Jauregg-Weg 15, Linz, 4020, Austria.
Harald StefanitsDepartment of Neurosurgery, Kepler University Hospital, Johannes Kepler University Linz, Neuromed Campus, Wagner-Jauregg-Weg 15, Linz, 4020, Austria.
Philip RauchDepartment of Neurosurgery, Kepler University Hospital, Johannes Kepler University Linz, Neuromed Campus, Wagner-Jauregg-Weg 15, Linz, 4020, Austria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeMalignant transformation (MT) is the principal driver of mortality in lower-grade glioma (LGG), yet its preoperative determinants and timing remain poorly defined. We quantified imaging elements of MT and its timing, correcting for bias in dating transformation.

methodsWe evaluated contrast enhancement (CE), tumour volume and 99 radiomic features in 155 patients with WHO grade 2-3 LGG, radiologically low-grade at diagnosis with at most minimal enhancement (77 transformations; median surveillance among non-transformers 4.8 years). Because MT is ascertainable only between scans, timing was modelled as interval-censored across four complementary models, with extent of resection (EOR) time-varying.

resultsCE at diagnosis was the strongest predictor of MT, exceeding tumour volume and a co-modelled 99-feature radiomic panel (Bayesian HR 22.1, 95% CrI 10.5-53.2); conditioned on transformation-free survival to six months, HR 5.65 (95% CI 2.23-14.31). No radiomic feature survived shrinkage or native interval-censoring. Initial enhancement predicted post-surgical transformation independently of grade, IDH status and EOR, even after gross-total resection (GTR), itself associated with a two-thirds lower hazard (HR 0.32, 95% CI 0.13-0.77). Interval censoring proved material: conventional dating overstated the hazard four-fold.

conclusionCE at diagnosis predicted transformation risk and timing. It remained predictive after GTR removed the enhancing tissue, a postoperative role not previously recognised. The signal was present in each integrated tumour type and survived adjustment for grade, IDH status and EOR, may reflect intrinsic tumour biology and could refine postoperative risk estimation. GTR was the only modifiable determinant. These are the first interval-censored estimates of MT timing.

Indexed as

Brain NeoplasmsCell Transformation, NeoplasticGliomaAdultAgedContrast MediaFemaleFollow-Up StudiesHumansMagnetic Resonance ImagingMaleMiddle AgedNeoplasm GradingPrognosisRadiomicsYoung AdultContrast MediaBayesian interval-censored survival analysisExtent of resectionIDH stratificationLower-grade gliomaMalignant transformationRadiomics

Identifiers

PMID42771086
PMCPMC13597587

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.