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Preoperative Prediction of New Vertebral Fractures after Vertebral Augmentation with a Radiomics Nomogram.
Jiang, Yang; Zhang, Wei; Huang, Shihao; Huang, Qing; Ye, Haoyi; Zeng, Yurong; Hua, Xin; Cai, Jinhui; Liu, Zhifeng; Liu, Qingyu.
Affiliation
  • Jiang Y; Department of Radiology, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen 518000, China.
  • Zhang W; Department of Radiology, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen 518000, China.
  • Huang S; Department of Radiology, The Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai 519000, China.
  • Huang Q; Department of Endocrinology, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen 518000, China.
  • Ye H; Department of Radiology, The Fourth Affiliated Hospital, Guangzhou Medical University, Guangzhou 511300, China.
  • Zeng Y; Department of Radiology, Huizhou Central People's Hospital, Huizhou 516000, China.
  • Hua X; Department of Neurology, The First Affiliated Hospital, Wenzhou Medical University, Wenzhou 325000, China.
  • Cai J; Department of Radiology, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen 518000, China.
  • Liu Z; Department of Radiology, The Fourth Affiliated Hospital, Guangzhou Medical University, Guangzhou 511300, China.
  • Liu Q; Department of Radiology, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen 518000, China.
Diagnostics (Basel) ; 13(22)2023 Nov 16.
Article in En | MEDLINE | ID: mdl-37998595
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.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Diagnostics (Basel) Year: 2023 Document type: Article Affiliation country: China Country of publication: Switzerland

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Diagnostics (Basel) Year: 2023 Document type: Article Affiliation country: China Country of publication: Switzerland