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[基于CT的放射组学和临床数据对非血管化骨移植治疗股骨头坏死有效性的视觉和定量评估]

[Visual and quantitative assessment of the effectiveness of non-vascularized bone grafting in osteonecrosis of the femoral head via CT-based radiomics and clinical data].

作者信息

Liu Xin, Chen Hao, Xue Peng, Xi Hongzhong, He Shuai, Sun Guangquan, Du Bin

机构信息

Department of Orthopedics, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing Jiangsu, 210029, P. R. China.

出版信息

Zhongguo Xiu Fu Chong Jian Wai Ke Za Zhi. 2023 Jul 15;37(7):846-855. doi: 10.7507/1002-1892.202303072.

Abstract

OBJECTIVE

To investigate the value of CT-based radiomics and clinical data in predicting the efficacy of non-vascularized bone grafting (NVBG) in hip preservation, and to construct a visual, quantifiable, and effective method for decision-making of hip preservation.

METHODS

Between June 2009 and June 2019, 153 patients (182 hips) with osteonecrosis of the femoral head (ONFH) who underwent NVBG for hip preservation were included, and the training and testing sets were divided in a 7∶3 ratio to define hip preservation success or failure according to the 3-year postoperative follow-up. The radiomic features of the region of interest in the CT images were extracted, and the radiomics-scores were calculated by the linear weighting and coefficients of the radiomic features after dimensionality reduction. The clinical predictors were screened using univariate and multivariate Cox regression analysis. The radiomics model, clinical model, and clinical-radiomics (C-R) model were constructed respectively. Their predictive performance for the efficacy of hip preservation was compared in the training and testing sets, with evaluation indexes including area under the curve, C-Index, sensitivity, specificity, and calibration curve, . The best model was visualised using nomogram, and its clinical utility was assessed by decision curves.

RESULTS

At the 3-year postoperative follow-up, the cumulative survival rate of hip preservation was 70.33%. Continued exposure to risk factors postoperative and Japanese Investigation Committee (JIC) staging were clinical predictors of the efficacy of hip preservation, and 13 radiomic features derived from least absolute shrinkage and selection operator downscaling were used to calculate Rad-scores. The C-R model outperformed both the clinical and radiomics models in predicting the efficacy of hip preservation 1, 2, 3 years postoperative in both the training and testing sets ( <0.05), with good agreement between the predicted and observed values. A nomogram constructed based on the C-R model showed that patients with lower Rad-scores, no further postoperative exposure to risk factors, and B or C1 types of JIC staging had a higher probability of femoral survival at 1, 2, 3 years postoperatively. The decision curve analysis showed that the C-R model had a higher total net benefit than both the clinical and radiomics models with a single predictor, and it could bring more net benefit to patients within a larger probability threshold.

CONCLUSION

The prediction model and nomogram constructed by CT-based radiomics combined with clinical data is a visual, quantifiable, and effective method for decision-making of hip preservation, which can predict the efficacy of NVBG before surgery and has a high value of clinical application.

摘要

目的

探讨基于CT的影像组学及临床数据在预测非血管化骨移植(NVBG)保髋疗效中的价值,构建一种可视化、可量化且有效的保髋决策方法。

方法

纳入2009年6月至2019年6月期间153例(182髋)因股骨头坏死(ONFH)接受NVBG保髋治疗的患者,按7∶3比例划分训练集和测试集,根据术后3年随访情况定义保髋成功或失败。提取CT图像中感兴趣区域的影像组学特征,经降维后对影像组学特征进行线性加权并计算影像组学评分。采用单因素和多因素Cox回归分析筛选临床预测因素。分别构建影像组学模型、临床模型和临床-影像组学(C-R)模型。在训练集和测试集中比较它们对保髋疗效的预测性能,评估指标包括曲线下面积、C指数、敏感性、特异性和校准曲线等。使用列线图将最佳模型可视化,并通过决策曲线评估其临床实用性。

结果

术后3年随访时,保髋累积生存率为70.33%。术后持续暴露于危险因素及日本调查委员会(JIC)分期是保髋疗效的临床预测因素,采用最小绝对收缩和选择算子降维衍生出的13个影像组学特征计算Rad评分。在训练集和测试集中,C-R模型在预测术后1、2、3年保髋疗效方面均优于临床模型和影像组学模型(<0.05),预测值与观察值之间具有良好的一致性。基于C-R模型构建的列线图显示,Rad评分较低、术后未进一步暴露于危险因素且JIC分期为B或C1型的患者在术后1、2、3年股骨存活概率较高。决策曲线分析表明,C-R模型的总净效益高于单一预测因素的临床模型和影像组学模型,且在较大概率阈值范围内可为患者带来更多净效益。

结论

基于CT的影像组学结合临床数据构建的预测模型和列线图是一种可视化、可量化且有效的保髋决策方法,可在术前预测NVBG的疗效,具有较高的临床应用价值。

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本文引用的文献

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Introduction to Radiomics.放射组学简介。
J Nucl Med. 2020 Apr;61(4):488-495. doi: 10.2967/jnumed.118.222893. Epub 2020 Feb 14.

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