Histogram Analysis and Heterogeneous Radial Changes Using ADC Map Images in Metastatic Brain Tumors for Dose Painting
Maryam Maleki1, Tahereh Hadisinia2, Iraj Abedi3
1Department of Medical Physics, School of Medicine Isfahan University of Medical Science, Isfahan, Iran.
Advanced Biomedical Research
|March 23, 2026
Summary
Tumor heterogeneity is constant in the central region but varies in the periphery. This histogram analysis method can help differentiate tumor boundaries for targeted radiation painting.
Area of Science:
- Radiology
- Oncology
- Medical Imaging
Background:
- Tumor heterogeneity impacts treatment efficacy.
- Radial changes within tumors require detailed analysis.
- Targeted radiation painting necessitates understanding tumor boundaries.
Purpose of the Study:
- To analyze heterogeneous radial changes within tumors using histogram analysis.
- To assess the potential of histogram analysis for targeted radiation painting implementation.
Main Methods:
- Diffusion-weighted imaging data from 25 primary lung cancer patients were analyzed.
- Tumor heterogeneity was assessed in three radial categories.
- Apparent Diffusion Coefficient (ADC) histogram parameters were compared using SPSS software.
Main Results:
- Tumor heterogeneity remained constant in the central region (0-0.3r).
- No significant differences in ADC histogram percentiles (25, 50, 75) were observed centrally.
- Heterogeneity levels varied in the peripheral tumor regions.
Conclusions:
- Histogram analysis can differentiate tumor center from periphery based on heterogeneity.
- This method shows potential for aiding targeted radiation painting strategies.
- Understanding radial heterogeneity is crucial for precise radiotherapy.
