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Related Experiment Video

Updated: Mar 7, 2026

Digital Spatial Profiling for Characterization of the Microenvironment in Adult-Type Diffusely Infiltrating Glioma

Digital Spatial Profiling for Characterization of the Microenvironment in Adult-Type Diffusely Infiltrating Glioma

Published on: September 13, 2022

Experimental Texture Analysis in Glioblastoma: A Methodological Study.

Nicolin Hainc¹, Christoph Stippich, Bram Stieltjes

¹From the *Division of Diagnostic and Interventional Neuroradiology, Department of Radiology, †Department of Radiology, and ‡Department of Neurosurgery, University Hospital Basel, University of Basel, Basel, Switzerland.

Investigative Radiology

|February 24, 2017

Summary

This summary is machine-generated.

Analyzing glioblastoma (GBM) tumor texture requires careful consideration of region of interest (ROI) selection. Expanded ROIs and fractional volumes offer improved texture analysis, enhancing biomarker extraction for glioblastoma.

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Last Updated: Mar 7, 2026

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Published on: September 13, 2022

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Published on: February 24, 2021

Area of Science:

Radiology
Oncology
Medical Imaging

Background:

Texture analysis of tumor biomarkers from single slices risks information loss.
Glioblastoma (GBM) texture analysis requires optimized region of interest (ROI) selection.

Purpose of the Study:

Investigate the correlation between fractional tumor volumes and entire tumor volumes.
Evaluate the impact of expanded ROIs on glioblastoma texture analysis.

Main Methods:

Retrospective analysis of 46 glioblastoma patient MRI scans.
Slice-by-slice volumetric texture analysis.
Correlation analysis of fractional vs. total tumor volumes.
Comparison of expanded vs. conservative ROIs.

Main Results:

Increased fractional tumor volumes showed higher correlation with total volume metrics (mean, SD, skewness, kurtosis).
Expanding the ROI by 2 mm significantly altered all texture parameters.

Conclusions:

Fractional volumes offer a potential trade-off for clinical texture analysis.
Texture analysis is highly sensitive to ROI definition, risking misrepresentation of glioblastoma characteristics.