Abstract
Purpose
The purpose of the study was to develop a predictive model for vertebral compression fracture (VCF) prior to spinal stereotactic body radiation therapy (SBRT) using radiomics features extracted from pre-treatment planning CT images.
Methods
A retrospective analysis was conducted on 85 patients (114 spinal lesions) who underwent spinal SBRT. Radiomics features were extracted from pre-treatment planning CT images and used to develop a predictive model using a classification algorithm selected from nine different machine learning algorithms. Four different models were trained, including clinical features only, clinical and radiomics features, radiomics and dosimetric features, and all features. Model performance was evaluated using accuracy, precision, recall, F1-score, and area under the curve (AUC).
Results
The model that used all features (radiomics, clinical, and dosimetric) showed the highest performance with an AUC of 0.871. The radiomics and dosimetric features model had the superior performance in terms of accuracy, precision, recall, and F1-score.
Conclusion
The developed predictive model based on radiomics features extracted from pre-treatment planning CT images can accurately predict the likelihood of VCF prior to spinal SBRT. This model has significant implications for treatment planning and preventive measures for patients undergoing spinal SBRT. Future research can focus on improving model performance by incorporating new data and external validation using independent data sets.
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Acknowledgements
The authors wish to acknowledge the financial support of the Catholic Medical Center Research Foundation made in the program year of 2019. This study was supported by Advanced Institute for Radiation Fusion Medical Technology (AIRFMT) at Catholic University of Korea.
Funding
This study was funded by the Catholic Medical Center Research Foundation in the program year of 2019.
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This retrospective study was conducted without obtaining separate informed consent from the patients, as the data analyzed were obtained from medical records that were anonymized and de-identified to protect patient privacy.
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Seol, Y., Song, J.H., Choi, K.H. et al. Predicting vertebral compression fracture prior to spinal SBRT using radiomics from planning CT. Eur Spine J (2023). https://doi.org/10.1007/s00586-023-07963-3
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DOI: https://doi.org/10.1007/s00586-023-07963-3