列线图
无线电技术
医学
逻辑回归
Lasso(编程语言)
放射科
椎骨
外科
内科学
计算机科学
万维网
作者
Yang Jiang,Wei Zhang,Shi-Hao Huang,Qing Huang,Haoyi Ye,Yu-Rong Zeng,Xin Hua,Jinhui Cai,Zhifeng Liu,Qingyu Liu
出处
期刊:Diagnostics
[MDPI AG]
日期:2023-11-16
卷期号:13 (22): 3459-3459
被引量:2
标识
DOI:10.3390/diagnostics13223459
摘要
The occurrence of new vertebral fractures (NVFs) after vertebral augmentation (VA) procedures is common in patients with osteoporotic vertebral compression fractures (OVCFs), leading to painful experiences and financial burdens. We aim to develop a radiomics nomogram for the preoperative prediction of NVFs after VA. Data from center 1 (training set: n = 153; internal validation set: n = 66) and center 2 (external validation set: n = 44) were retrospectively collected. Radiomics features were extracted from MRI images and radiomics scores (radscores) were constructed for each level-specific vertebra based on least absolute shrinkage and selection operator (LASSO). The radiomics nomogram, integrating radiomics signature with presence of intravertebral cleft and number of previous vertebral fractures, was developed by multivariable logistic regression analysis. The predictive performance of the vertebrae was level-specific based on radscores and was generally superior to clinical variables. RadscoreL2 had the optimal discrimination (AUC ≥ 0.751). The nomogram provided good predictive performance (AUC ≥ 0.834), favorable calibration, and large clinical net benefits in each set. It was used successfully to categorize patients into high- or low-risk subgroups. As a noninvasive preoperative prediction tool, the MRI-based radiomics nomogram holds great promise for individualized prediction of NVFs following VA.
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