Development and optimisation of a preclinical cone beam computed tomography-based radiomics workflow for radiation oncology research

Kathryn H. Brown*, Neree Payan, Sarah Osman, Mihaela Ghita, Gerard M. Walls, Ileana Silvestre Patallo, Giuseppe Schettino, Kevin M. Prise, Conor K. McGarry, Karl T. Butterworth

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

6 Downloads (Pure)


Background and purpose
Radiomics features derived from medical images have the potential to act as imaging biomarkers to improve diagnosis and predict treatment response in oncology. However, the complex relationships between radiomics features and the biological characteristics of tumours are yet to be fully determined. In this study, we developed a preclinical cone beam computed tomography (CBCT) radiomics workflow with the aim to use in vivo models to further develop radiomics signatures.

Materials and methods
CBCT scans of a mouse phantom were acquired using onboard imaging from a small animal radiotherapy research platform (SARRP, Xstrahl). The repeatability and reproducibility of radiomics outputs were compared across different imaging protocols, segmentation sizes, pre-processing parameters and materials. Robust features were identified and used to compare scans of two xenograft mouse tumour models (A549 and H460).

Changes to the radiomics workflow significantly impact feature robustness. Preclinical CBCT radiomics analysis is feasible with 119 stable features identified from scans imaged at 60 kV, 25 bin width and 0.26 mm slice thickness. Large variation in segmentation volumes reduced the number of reliable radiomics features for analysis. Standardization in imaging and analysis parameters is essential in preclinical radiomics analysis to improve accuracy of outputs, leading to more consistent and reproducible findings.

We present the first optimised workflow for preclinical CBCT radiomics to identify imaging biomarkers. Preclinical radiomics has the potential to maximise the quantity of data captured in in vivo experiments and could provide key information supporting the wider application of radiomics.

Original languageEnglish
Article number100446
Number of pages9
JournalPhysics and Imaging in Radiation Oncology
Publication statusPublished - 18 May 2023


  • CBCT imaging
  • Preclinical models
  • Radiomics
  • Standardisation
  • Workflow development

ASJC Scopus subject areas

  • Radiation
  • Oncology
  • Radiology Nuclear Medicine and imaging


Dive into the research topics of 'Development and optimisation of a preclinical cone beam computed tomography-based radiomics workflow for radiation oncology research'. Together they form a unique fingerprint.

Cite this