Predictive model based on DCE-MRI and clinical features for the evaluation of pain response after stereotactic body radiotherapy in patients with spinal metastases
© 2023. The Author(s), under exclusive licence to European Society of Radiology..
OBJECTIVE: To 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.
METHODS: Patients 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.
RESULTS: Overall, 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 Ktrans 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.
CONCLUSION: Some 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.
KEY POINTS: • SBRT can accurately irradiate spinal metastases with ablative doses. • Predicting the post-SBRT pain response has important clinical implications. • The prediction models established based on clinical and MRI features have good performance.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2023 |
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| Erschienen: |
2023 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:33 |
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| Enthalten in: |
European radiology - 33(2023), 7 vom: 03. Juli, Seite 4812-4821 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Chen, Yongye [VerfasserIn] |
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| Anmerkungen: |
Date Completed 26.06.2023 Date Revised 26.06.2023 published: Print-Electronic Citation Status MEDLINE |
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| doi: |
10.1007/s00330-023-09437-y |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM352450967 |
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| 100 | 1 | |a Chen, Yongye |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Predictive model based on DCE-MRI and clinical features for the evaluation of pain response after stereotactic body radiotherapy in patients with spinal metastases |
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| 500 | |a published: Print-Electronic | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a © 2023. The Author(s), under exclusive licence to European Society of Radiology. | ||
| 520 | |a OBJECTIVE: To 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 | ||
| 520 | |a METHODS: Patients 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 | ||
| 520 | |a RESULTS: Overall, 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 Ktrans 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 | ||
| 520 | |a CONCLUSION: Some 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 | ||
| 520 | |a KEY POINTS: • SBRT can accurately irradiate spinal metastases with ablative doses. • Predicting the post-SBRT pain response has important clinical implications. • The prediction models established based on clinical and MRI features have good performance | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a MRI | |
| 650 | 4 | |a Neoplasm metastasis | |
| 650 | 4 | |a Prognosis | |
| 650 | 4 | |a Radiosurgery | |
| 700 | 1 | |a Wang, Qizheng |e verfasserin |4 aut | |
| 700 | 1 | |a Zhou, Guangjin |e verfasserin |4 aut | |
| 700 | 1 | |a Liu, Ke |e verfasserin |4 aut | |
| 700 | 1 | |a Qin, Siyuan |e verfasserin |4 aut | |
| 700 | 1 | |a Zhao, Weili |e verfasserin |4 aut | |
| 700 | 1 | |a Xin, Peijin |e verfasserin |4 aut | |
| 700 | 1 | |a Yuan, Huishu |e verfasserin |4 aut | |
| 700 | 1 | |a Zhuang, Hongqing |e verfasserin |4 aut | |
| 700 | 1 | |a Lang, Ning |e verfasserin |4 aut | |
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