Study of preoperative CT-based radiomics models for the prediction of prognosis of surgical treatment of spinal tuberculosis

doi:10.19871/j.cnki.xfcrbzz.2022.02.011

Abstract

Abstract: Objective Construct radiomics models based on preoperative CT features of patients with spinal tuberculosis to predict the prognosis of surgical treatment,so as to improve the accuracy of preoperative diagnosis and personalized treatment. Method The clinical and imaging data of 216 patients with spinal tuberculosis who received initial surgical treatment in Guangzhou Chest Hospital from January 2015 to May 2019 were analyzed retrospectively. According to the prognosis one year after operation, they were divided into Bad Group（39 cases）and Good Group（177 cases）. The patients in Bad Group and Good Group were randomly divided into training cohort and validation cohort with a ratio of 7:3 (training cohort: 27 cases in Bad Group and 124 cases in Good Group; validation cohort: 12 cases in Bad Group and 53 cases in Good Group). The preoperative plain CT images of all the patients were converted and outlined two kinds of region of interest (ROI), including the ROI of diseased vertebra and the ROI of diseased vertebra with peripheral abscess, which were saved as radiomics files and extracted radiomics features. The L1 regularized logistic regression model was used to identify the optimal radiomics features for construction of radiomics models。The area under the curve (AUC) of the receiver operating characteristic curve (ROC) was used to evaluate the performance of the constructed radiomics model. Result In the training cohort, the AUC of vertebra model was 0.892（95%CI：0.826, 0.914）,the AUC of vertebra model in the validation cohort was 0.851（95%CI：0.761,0.887）. In the training cohort, the AUC of diseased vertebra with peripheral abscess model was 0.906（95%CI：0.809,0.920）. In validation cohort, AUC of diseased vertebra with peripheral abscess model was 0.868（95%CI：0.786,0.904）. There was no significant difference in the performance between the two models（P>0.05）. Conclusion The radiomics models based on preoperative CT images of spinal tuberculosis can effectively predict the postoperative prognosis, and are helpful for surgeons to choose the clinical treatment of spinal tuberculosis..

Key words: Spinal tuberculosis, Surgical treatment, Radiomics, Model, Prognosis

Song Min, Xie Zhien, Yang Hongzhi, Wu Huaqiang, Guan Quan, Zhong Peng, Fang Weijun. Study of preoperative CT-based radiomics models for the prediction of prognosis of surgical treatment of spinal tuberculosis[J]. Electronic Journal of Emerging Infectious Diseases, 2022, 7(2): 52-56.

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