Transformation of Lower-Grade Gliomas to Malignancy: The Role of Contrast Enhancement, Surgical Resection Extent, and Interval-Censored Analysis of Natural History
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By
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Baran Atli
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Maximilian Wartha
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Matthias Gmeiner
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Martin Aichholzer
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Serge Weis
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Dominik Vorhauer
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Helga Wagner
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Tanja Hauer
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Carlo Serra
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Petra Böhm
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Michael Sonnberger
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Nico Stroh-Holly
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Stefan Aspalter
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Kathrin Aufschnaiter
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Tobias Rossmann
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Maria Gollwitzer
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Jawed Ziai
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Annette Leibetseder
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Josef Pichler
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Wolfgang Thomae
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Christian Dorfer
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Andreas Gruber
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Harald Stefanits
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Philip Rauch
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September 22, 2026
3 Topic Commentaries
Intracranial Hemorrhages, Central Nervous System Infections, Machine Learning
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Dr. Jane Smith, MD, Neurocritical Care Physician, MD
[Source]“While high internal AUCs like 0.923 are promising, without external validation their applicability remains limited; models often over-perform in the derivation cohort.”
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Dr. Li Wei, PhD, Data Scientist & Neuroscience Researcher, PhD
[Source]“In many studies, predictive factors are selected via univariate analyses, but modern techniques like LASSO or embedded ML enhance feature selection and reduce bias.”
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Dr. Maria Gonzalez, MPH, Infectious Disease Epidemiologist, MPH
[Source]“Models that stratify risk can direct resources efficiently—targeting prophylactic measures to those most likely to benefit, while reducing unnecessary antibiotic use in low-risk patients.”
