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European Spine Journal
Published in: European Spine Journal 11/2023

25-08-2023 | Osteoporosis | Original Article

MRI-based radiomics assessment of the imminent new vertebral fracture after vertebral augmentation

Authors: Jinhui Cai, Chen Shen, Tingqian Yang, Yang Jiang, Haoyi Ye, Yaoqin Ruan, Xuemin Zhu, Zhifeng Liu, Qingyu Liu

Published in: European Spine Journal | Issue 11/2023

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Abstract

Background

Imminent new vertebral fracture (NVF) is highly prevalent after vertebral augmentation (VA). An accurate assessment of the imminent risk of NVF could help to develop prompt treatment strategies.

Purpose

To develop and validate predictive models that integrated the radiomic features and clinical risk factors based on machine learning algorithms to evaluate the imminent risk of NVF.

Materials and methods

In this retrospective study, a total of 168 patients with painful osteoporotic vertebral compression fractures treated with VA were evaluated. Radiomic features of L1 vertebrae based on lumbar T2-weighted images were obtained. Univariate and LASSO-regression analyses were applied to select the optimal features and construct radiomic signature. The radiomic signature and clinical signature were integrated to develop a predictive model by using machine learning algorithms including LR, RF, SVM, and XGBoost. Receiver operating characteristic curve and calibration curve analyses were used to evaluate the predictive performance of the models.

Results

The radiomic-XGBoost model with the highest AUC of 0.93 of the training cohort and 0.9 of the test cohort among the machine learning algorithms. The combined-XGBoost model with the best performance with an AUC of 0.9 in the training cohort and 0.9 in the test cohort. The radiomic-XGBoost model and combined-XGBoost model achieved better performance to assess the imminent risk of NVF than that of the clinical risk factors alone (p < 0.05).

Conclusion

Radiomic and machine learning modeling based on T2W images of preoperative lumbar MRI had an excellent ability to evaluate the imminent risk of NVF after VA.
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Metadata
Title
MRI-based radiomics assessment of the imminent new vertebral fracture after vertebral augmentation
Authors
Jinhui Cai
Chen Shen
Tingqian Yang
Yang Jiang
Haoyi Ye
Yaoqin Ruan
Xuemin Zhu
Zhifeng Liu
Qingyu Liu
Publication date
25-08-2023
Publisher
Springer Berlin Heidelberg
Published in
European Spine Journal / Issue 11/2023
Print ISSN: 0940-6719
Electronic ISSN: 1432-0932
DOI
https://doi.org/10.1007/s00586-023-07887-y

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