Predicting vertebral compression fracture prior to spinal SBRT using radiomics from planning CT.
Yunji SeolJin Ho SongKyu Hye ChoiYoung Kyu LeeByung-Ock ChoiYoung-Nam KangPublished in: European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society (2023)
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.
Keyphrases
- radiation therapy
- contrast enhanced
- spinal cord
- patients undergoing
- computed tomography
- electronic health record
- image quality
- lymph node metastasis
- dual energy
- deep learning
- big data
- squamous cell carcinoma
- magnetic resonance
- spinal cord injury
- bone mineral density
- postmenopausal women
- artificial intelligence
- body composition