Chest CT radiomics is feasible in evaluating bone changes in chronic kidney diseases
Gang Wu, Yongli Yang, Liangjin Liu- Radiology, Nuclear Medicine and imaging
- General Medicine
- Radiological and Ultrasound Technology
Background
Non-invasive imaging methods are still lacking for evaluating bone changes in chronic kidney diseases (CKD).
Purpose
To investigate the feasibility of chest CT radiomics in evaluating bone changes caused by CKD.
Material and Methods
In total, 75 patients with stage 1 CKD (CKD1) and 75 with stage 5 CKD (CKD5) were assessed using the chest CT radiomics method. Radiomics features of bone were obtained using 3D Slicer software and were then compared between CKD1 and CKD5 cases. The methods of maximum correlation minimum redundancy (mRMR) and least absolute shrinkage and selection operator (LASSO) were used to establish a prediction model to determine CKD. The receiver operating characteristic (ROC) curve was used to determine the performance of the model.
Results
Cases of CKD1 and CKD5 differed in 40 radiomics features ( P <0.05). Using the mRMR and LASSO methods, five features were finally selected to establish a predication model. The area under the receiver operating characteristic curve of the model in the determination of CKD1 and CKD5 was 0.903 and 0.854, respectively, for the training and validation cohorts.
Conclusion
Chest CT radiomics is feasible in evaluating bone changes caused by CKD.