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Comparison of Dosiomics Features and Dosimetric Parameters for Detecting Variations in Dose Distribution in Breast
Marziyeh Mirzaeiyan1, Ali Akhavan2, Parvaneh Shokrani3
1Department of Medical Physics, School of Medicine, Hamadan University of Medical Sciences, Hamadan, Iran.
Dosiomics features (DFs) are more effective than dosimetric parameters (DPs) for detecting dose distribution variations in breast cancer radiotherapy. DFs show greater potential for future radiotherapy plan evaluations.
Area of Science:
- Medical Physics
- Radiotherapy
- Image Analysis
Background:
- Radiotherapy planning involves complex dose distributions.
- Evaluating dose variations is crucial for treatment efficacy and safety.
- Dosiomics features (DFs) and dosimetric parameters (DPs) are methods to assess dose distributions.
Purpose of the Study:
- To compare the effectiveness of DFs and DPs in detecting dose distribution variations.
- To evaluate the potential of DFs in radiotherapy plan assessment.
Main Methods:
- 15 early-stage breast cancer patients undergoing 3D conformal radiotherapy were analyzed.
- Four treatment plans were generated per patient.
- Dosimetric parameters (DPs) and DFs were extracted using 3D-Slicer software.
- Coefficient of variation (CV) measured the ability of DFs and DPs to detect dose differences.
Main Results:
- DFs demonstrated higher CV values compared to DPs across various regions of interest.
- The planning target volume (PTV) and heart showed the highest CVs for specific DFs.
- The heart exhibited the highest CV for the D20% parameter.
Conclusions:
- DFs are more sensitive than DPs in differentiating dose distributions.
- DFs hold significant promise for enhancing future radiotherapy plan evaluations.
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