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Preoperative Prediction of New Vertebral Fractures after Vertebral Augmentation with a Radiomics Nomogram

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...

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Autores principales: Jiang, Yang, Zhang, Wei, Huang, Shihao, Huang, Qing, Ye, Haoyi, Zeng, Yurong, Hua, Xin, Cai, Jinhui, Liu, Zhifeng, Liu, Qingyu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10670105/
https://www.ncbi.nlm.nih.gov/pubmed/37998595
http://dx.doi.org/10.3390/diagnostics13223459
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author Jiang, Yang
Zhang, Wei
Huang, Shihao
Huang, Qing
Ye, Haoyi
Zeng, Yurong
Hua, Xin
Cai, Jinhui
Liu, Zhifeng
Liu, Qingyu
author_facet Jiang, Yang
Zhang, Wei
Huang, Shihao
Huang, Qing
Ye, Haoyi
Zeng, Yurong
Hua, Xin
Cai, Jinhui
Liu, Zhifeng
Liu, Qingyu
author_sort Jiang, Yang
collection PubMed
description 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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spelling pubmed-106701052023-11-16 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 Diagnostics (Basel) Article 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. MDPI 2023-11-16 /pmc/articles/PMC10670105/ /pubmed/37998595 http://dx.doi.org/10.3390/diagnostics13223459 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Jiang, Yang
Zhang, Wei
Huang, Shihao
Huang, Qing
Ye, Haoyi
Zeng, Yurong
Hua, Xin
Cai, Jinhui
Liu, Zhifeng
Liu, Qingyu
Preoperative Prediction of New Vertebral Fractures after Vertebral Augmentation with a Radiomics Nomogram
title Preoperative Prediction of New Vertebral Fractures after Vertebral Augmentation with a Radiomics Nomogram
title_full Preoperative Prediction of New Vertebral Fractures after Vertebral Augmentation with a Radiomics Nomogram
title_fullStr Preoperative Prediction of New Vertebral Fractures after Vertebral Augmentation with a Radiomics Nomogram
title_full_unstemmed Preoperative Prediction of New Vertebral Fractures after Vertebral Augmentation with a Radiomics Nomogram
title_short Preoperative Prediction of New Vertebral Fractures after Vertebral Augmentation with a Radiomics Nomogram
title_sort preoperative prediction of new vertebral fractures after vertebral augmentation with a radiomics nomogram
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10670105/
https://www.ncbi.nlm.nih.gov/pubmed/37998595
http://dx.doi.org/10.3390/diagnostics13223459
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