Repository for the study 'Assessing the Agreement of Radiomic Tools for Dosiomics: A Multi-Software Comparative Study'

Description

This dataset contains the supporting raw research results and MATLAB code associated with the study “Assessing the Agreement of Radiomic Tools for Dosiomics: A Multi-Software Comparative Study” (doi: 10.1002/mp.70203).

Study Context:
Radiomics enables the extraction and quantitative analysis of imaging features to support medical decision-making. When applied to radiotherapy dose distributions—an approach known as dosiomics—these features reveal spatial dose patterns that can be linked to treatment outcomes. Despite growing interest in dosiomics, variability in feature extraction across software tools poses a significant challenge to reproducibility and clinical translation. The study provided the first comprehensive evaluation of inter-software agreement and feature reproducibility in dosiomics, systematically comparing seven extraction tools:

• Open-source software: MIRP, S-IBEX, RaCaT, SERA, PyRadiomics

• Proprietary software: SPAARC, RadiomiCRO

The evaluation leveraged the IBSI digital phantom for compliance assessment, alongside a dataset of eight intensity-modulated radiotherapy (IMRT) dose distributions (doi: 10.5281/zenodo.17777507) simulating head-and-neck treatment plans, each with 10 defined Regions of Interest (ROIs). The analysis examined the influence of preprocessing parameters, including resampling, discretization, and feature aggregation methods, on software agreement and feature reproducibility.

Content of the Dataset:
The repository includes the following files:

• IBSI_compliance_digital_phantom.xlsx:
  Compiles the IBSI-1 reference values spreadsheet (available at https://ibsi.radiomics.hevs.ch/assets/IBSI-1-submission-table.xlsx), completed for each software tool and consolidated into a single document. The first worksheet summarizes the results across all evaluated software.

• Raw_data_extracted_features.xlsx:
  Contains, in separate worksheets, the dosiomic features extracted by each of the seven software tools from the dose-distribution dataset (doi: 10.5281/zenodo.17777507). Features are provided under multiple resampling, discretization, and aggregation configurations.

• Agreement.xlsx:
  Reports agreement metrics calculated between software tools. The first two worksheets provide values averaged across the 10 ROIs and 8 dose distributions for the isotropic and anisotropic configurations. Subsequent worksheets detail agreement metrics for each specific ROI/dose-distribution combination.
  The file Agreement_without_PyRadiomics.xlsx presents the same metrics excluding PyRadiomics.

• CV.xlsx (Coefficient of Variation):
  Contains CV metrics derived from the outputs of all software tools. The first two worksheets report values averaged across the 10 ROIs and 8 dose distributions for the isotropic and anisotropic configurations, while the remaining worksheets present ROI/dose-specific CVs.
  The file CV_without_PyRadiomics.xlsx provides the same analysis excluding PyRadiomics.

• MATLAB code.zip:
  Includes MATLAB scripts implementing the software agreement and CV computation pipeline. The scripts perform data loading, feature organization, IBSI non-matching feature removal, pairwise agreement calculations, CV computation, and result visualization.