4.7 Article

Predictive model based on DCE-MRI and clinical features for the evaluation of pain response after stereotactic body radiotherapy in patients with spinal metastases

Journal

EUROPEAN RADIOLOGY
Volume 33, Issue 7, Pages 4812-4821

Publisher

SPRINGER
DOI: 10.1007/s00330-023-09437-y

Keywords

Radiosurgery; Neoplasm metastasis; Prognosis; MRI

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This study aimed to establish a prediction model for pain response after stereotactic body radiotherapy (SBRT) in patients with spinal metastases by analyzing conventional MRI, DCE-MRI, and clinical features. The results showed that the number of treated lesions, pretreatment pain score, Karnofsky performance status score, Bilsky grade, and DCE-MRI quantitative parameter K-trans were independent predictors of post-SBRT pain response in patients with spinal metastases. The predictive model had good discrimination performance with a C-index of 0.806.
ObjectiveTo investigate the correlation of conventional MRI, DCE-MRI and clinical features with pain response after stereotactic body radiotherapy (SBRT) in patients with spinal metastases and establish a pain response prediction model.MethodsPatients with spinal metastases who received SBRT in our hospital from July 2018 to April 2022 consecutively were enrolled. All patients underwent conventional MRI and DCE-MRI before treatment. Pain was assessed before treatment and in the third month after treatment, and the patients were divided into pain-response and no-pain-response groups. A multivariate logistic regression model was constructed to obtain the odds ratio and 95% confidence interval (CI) for each variable. C-index was used to evaluate the model's discrimination performance.ResultsOverall, 112 independent spinal lesions in 89 patients were included. There were 73 (65.2%) and 39 (34.8%) lesions in the pain-response and no-pain-response groups, respectively. Multivariate analysis showed that the number of treated lesions, pretreatment pain score, Karnofsky performance status score, Bilsky grade, and the DCE-MRI quantitative parameter K-trans were independent predictors of post-SBRT pain response in patients with spinal metastases. The discrimination performance of the prediction model was good; the C index was 0.806 (95% CI: 0.721-0.891), and the corrected C-index was 0.754.ConclusionSome imaging and clinical features correlated with post-SBRT pain response in patients with spinal metastases. The model based on these characteristics has a good predictive value and can provide valuable information for clinical decision-making.

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