Evidence map›Paper›PMID 41696572›Full record

ArticleFrontiers in radiology2026

Association between histogram parameters of T2 weighted MRI data, WHO grade, tumor proliferation index and selected molecular markers in low-grade glioma.

Georg Gihr, Hans Henkes, Ali Khanafer, Mehdi Allouche, Oliver Ganslandt, Sebastian Johannes Müller, Walter Alexander Wohlgemuth, Stefan Schob

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Article in Frontiers in radiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Georg GihrClinic for Neuroradiology, Katharinenhospital Stuttgart, Stuttgart, Germany.
Hans HenkesClinic for Neuroradiology, Katharinenhospital Stuttgart, Stuttgart, Germany.
Ali KhanaferClinic for Neuroradiology, Katharinenhospital Stuttgart, Stuttgart, Germany.
Mehdi AlloucheClinic for Neuroradiology, Katharinenhospital Stuttgart, Stuttgart, Germany.
Oliver GanslandtClinic for Neurosurgery, Katharinenhospital Stuttgart, Stuttgart, Germany.
Sebastian Johannes MüllerClinic for Neuroradiology, University Hospital Magdeburg, Magdeburg, Germany.
Walter Alexander WohlgemuthDepartment for Radiology, University Hospital Halle (Saale), Halle (Saale), Germany.
Stefan SchobDepartment for Radiology, University Hospital Halle (Saale), Halle (Saale), Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Conventional T2 weighted MRI sequences are part of the standard diagnostics in case of LGG and implemented in every MRI protocol for the first anatomical evaluation. Despite the excellent tissue contrast and spatial information, conventional radiological assessment of these images lacks the capacity of providing reliable information about underlying histopathology. Therefore, this retrospective investigation aimed to assess whole-tumor histogram analysis (HA) of T2 weighted MRI sequences for its ability to distinguish between WHO grade 1 and 2 gliomas, to predict the isocitrate dehydrogenase 1 (IDH 1) gene mutation and the methylguanine-DNA methyl-transferase (MGMT) promoter methylation status, to differentiate oligodendrogliomas from diffuse astrocytomas, and to predict the proliferative potential using the Ki-67 proliferation index. Methods: Signal intensities of T2 weighted pre-surgical MRI data of 53 LGG patients were used for histogram-profiling. WHO-grade, Ki-67 expression, IDH 1 mutation and MGMT promoter methylation status were evaluated. Comparative and correlative statistics were used to investigate possible associations between HA parameters and neuropathology. Results: Statistically significant distinctions between WHO grade 1 and grade 2 gliomas were observed for T2 SI Entropy ( Conclusion: Our investigation demonstrates the potential of T2 SI Entropy in distinguishing grade 1 from grade 2 gliomas and in reflecting the proliferative activity denoted by Ki-67 expression, therefore being a promising HA feature for assessing tumor heterogeneity.

Indexed as

histogram analysishistopathologyimaging biomarkerlow-grade gliomaT2 weighted imagingtumor heterogeneity

Identifiers

PMID41696572
PMCPMC12894347

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