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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...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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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. |
format | Online Article Text |
id | pubmed-10670105 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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