Nomogram prediction of molecular characteristics in WHO grade 3–4 diffuse gliomas based on fractal analysis and VASARI features

Nomogram prediction of molecular characteristics in WHO grade 3–4 diffuse gliomas based on fractal analysis and VASARI features

Abstract Effective prediction of molecular features is crucial for the prognostic assessment of glioma patients. This study aims to develop a nomogram model using fractal analysis and Visually AcceSAble Rembrandt Images (VASARI) features to predict the molecular characteristics of WHO Grade 3–4 diff...

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Bibliographic Details
Main Authors: Changyou Long, Dan Xu, Wenbo Sun, Weiqiang Liang, Jie Zhou, Shen Gui, Huan Li, Haibo Xu
Format: Article
Language:English
Published: Nature Portfolio 2025-05-01
Series:Scientific Reports
Subjects:
Diffuse glioma
Fractal analysis
Visually accesable Rembrandt images
Ki_67
Telomerase reverse transcriptase
p53
Online Access:https://doi.org/10.1038/s41598-025-00113-3
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https://doi.org/10.1038/s41598-025-00113-3

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