Prognostic prediction of the femoral head using osteonecrosis and contralateral regions based on CT images

Wenzhe Zhao; Shouye HU; Yitong Zhao; Yinan Liu; Yao LI; Daning LI; Dingxing Huang; Jian Sun

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Prognostic prediction of the femoral head using osteonecrosis and contralateral regions based on CT images

VernacularTitle:基于对照CT影像的股骨头坏死预后预测
Author: Wenzhe ZHAO ^{1
,

2} ; Shouye HU ³ ; Yitong ZHAO ⁴ ; Yinan LIU ¹ ; Yao LI ^{3
,

5} ; Daning LI ¹ ; Dingxing HUANG ¹ ; Jian SUN ^{1
,

6
,

7}
Author Information

1. School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an 710061
2. Department of Medical Imaging, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an 710061
3. Xi’an Honghui Hospital, Xi’an Jiaotong University Health Science Center, Xi’an 710054
4. School of Basic Medicine, Xi’an Jiaotong University, Xi’an 710061
5. School of Basic Medicine, Xi’an Jiaotong University, Xi’an 710061
6. Key Laboratory of Environment and Genes Related to Diseases, Ministry of Education, Xi’an 710061
7. National Health Commission Key Laboratory of Trace Elements and Endemic Diseases, Xi’an 710061, China
Publication Type:Journal Article
Keywords: osteonecrosis of the femoral head; radiomics; contrast CT image; prognosis prediction
From: Journal of Xi'an Jiaotong University(Medical Sciences) 2022;43(5):732-736
CountryChina
Language:Chinese
Abstract: 【Objective】 To develop a prognosis model based on CT images using radiomics method for patients with osteonecrosis of the femoral head (ONFH) and to investigate the additional prediction value of the imaging features of the contralateral normal femoral head regions for the prognosis prediction. 【Methods】 A total of 51 patients were included in this retrospective study. All the patients had preoperative CT images. For each patient, two regions of interest (ROIs) were involved, including the osteonecrosis region and the contralateral normal femoral head region. A total of 968 radiomics features were extracted for each patient. We made both the univariate and multivariable analyses. Three models were developed based on the features of osteonecrosis region, contralateral normal femoral head region, and both regions. The 10 times of repeated random experiments were used for model construction and validation. The average performance of the 10 times of experiments was reported as the results. 【Results】 For the features of osteonecrosis region, 37 features showed significant predictive value, with the mean AUC value of 0.708 2±0.029 9. The AUC of the constructed prediction model was 0.911 0±0.029 4 and 0.688 6±0.089 3 for the training set and validation set, respectively. For the features of contralateral normal femoral head region, 14 features showed significant predictive value, with the mean AUC value of 0.703 6±0.006 9. The AUC value of the constructed model for the training set and validation set was 0.867 2±0.039 5 and 0.669 0±0.072 6, respectively. For the models developed based on combined features, the AUC value was higher than that of the models developed based on osteonecrosis region features (training set: 0.935 8±0.016 6 vs. validation set: 0.737 9±0.090 8). 【Conclusion】 We developed a novel CT images-based radiomics method to predict postoperative prognosis in patients with ONFH. Furthermore, the features of contralateral normal femoral head region has additional prediction value. Combining the imaging features of osteonecrosis region and contralateral normal femoral head region can obtain more accurate prediction of prognosis in patients with ONFH.