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Application of Dynamic Contrast-Enhanced MRI in the Diagnosis of Rheumatoid Arthritis

In order to solve the application problem of dynamic contrast-enhanced MRI in the diagnosis of rheumatoid arthritis, this paper proposes application research based on dynamic contrast-enhanced MRI in the staging diagnosis of rheumatoid arthritis. Dynamic contrast-enhanced magnetic resonance imaging...

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Autores principales: Zhang, Bin, Xiao, Li, Zhou, Hui, Li, Ming, Wang, Jingming, Guo, Lina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9239753/
https://www.ncbi.nlm.nih.gov/pubmed/35833077
http://dx.doi.org/10.1155/2022/3055465
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author Zhang, Bin
Xiao, Li
Zhou, Hui
Li, Ming
Wang, Jingming
Guo, Lina
author_facet Zhang, Bin
Xiao, Li
Zhou, Hui
Li, Ming
Wang, Jingming
Guo, Lina
author_sort Zhang, Bin
collection PubMed
description In order to solve the application problem of dynamic contrast-enhanced MRI in the diagnosis of rheumatoid arthritis, this paper proposes application research based on dynamic contrast-enhanced MRI in the staging diagnosis of rheumatoid arthritis. Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) has a high value in evaluating the activity of patients with early rheumatoid arthritis (RA). This paper discusses the correlation between hemodynamic parameters and omeractramris score, clinical laboratory indexes, and activity score (DAS28), analyzes its feasibility in evaluating the prognosis of RA, and provides a reliable basis for the rational formulation of an early RA treatment plan. After reviewing the previous cases, 33 patients with subclinical synovitis of RA were selected for wrist joint contrast-enhanced ultrasonography. The data were analyzed by contrast-enhanced software, and the quantitative parameters of contrast-enhanced were obtained: start development time (AT), peak time (TTP), peak intensity (PI), grad gradient, and area under the curve (AUC). The synovial blood supply was classified by CEUS, and the CEUS blood supply classification and power Doppler (PDUS) blood supply classification were compared. The results of regression analysis showed that AUC (or = 1.026, 95% CI: 1.001–1.052) and PI (or = 1.561, 95% CI: 1.019–2.393) were independent risk factors for predicting the aggravation of the disease. The diagnostic efficacy of AUC and PI in predicting the aggravation of the disease was analyzed. The areas under the ROC curve of AUC and PI were 0.935 and 0.927, respectively, and the difference between them was not statistically significant.
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spelling pubmed-92397532022-07-12 Application of Dynamic Contrast-Enhanced MRI in the Diagnosis of Rheumatoid Arthritis Zhang, Bin Xiao, Li Zhou, Hui Li, Ming Wang, Jingming Guo, Lina Contrast Media Mol Imaging Research Article In order to solve the application problem of dynamic contrast-enhanced MRI in the diagnosis of rheumatoid arthritis, this paper proposes application research based on dynamic contrast-enhanced MRI in the staging diagnosis of rheumatoid arthritis. Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) has a high value in evaluating the activity of patients with early rheumatoid arthritis (RA). This paper discusses the correlation between hemodynamic parameters and omeractramris score, clinical laboratory indexes, and activity score (DAS28), analyzes its feasibility in evaluating the prognosis of RA, and provides a reliable basis for the rational formulation of an early RA treatment plan. After reviewing the previous cases, 33 patients with subclinical synovitis of RA were selected for wrist joint contrast-enhanced ultrasonography. The data were analyzed by contrast-enhanced software, and the quantitative parameters of contrast-enhanced were obtained: start development time (AT), peak time (TTP), peak intensity (PI), grad gradient, and area under the curve (AUC). The synovial blood supply was classified by CEUS, and the CEUS blood supply classification and power Doppler (PDUS) blood supply classification were compared. The results of regression analysis showed that AUC (or = 1.026, 95% CI: 1.001–1.052) and PI (or = 1.561, 95% CI: 1.019–2.393) were independent risk factors for predicting the aggravation of the disease. The diagnostic efficacy of AUC and PI in predicting the aggravation of the disease was analyzed. The areas under the ROC curve of AUC and PI were 0.935 and 0.927, respectively, and the difference between them was not statistically significant. Hindawi 2022-06-21 /pmc/articles/PMC9239753/ /pubmed/35833077 http://dx.doi.org/10.1155/2022/3055465 Text en Copyright © 2022 Bin Zhang et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Zhang, Bin
Xiao, Li
Zhou, Hui
Li, Ming
Wang, Jingming
Guo, Lina
Application of Dynamic Contrast-Enhanced MRI in the Diagnosis of Rheumatoid Arthritis
title Application of Dynamic Contrast-Enhanced MRI in the Diagnosis of Rheumatoid Arthritis
title_full Application of Dynamic Contrast-Enhanced MRI in the Diagnosis of Rheumatoid Arthritis
title_fullStr Application of Dynamic Contrast-Enhanced MRI in the Diagnosis of Rheumatoid Arthritis
title_full_unstemmed Application of Dynamic Contrast-Enhanced MRI in the Diagnosis of Rheumatoid Arthritis
title_short Application of Dynamic Contrast-Enhanced MRI in the Diagnosis of Rheumatoid Arthritis
title_sort application of dynamic contrast-enhanced mri in the diagnosis of rheumatoid arthritis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9239753/
https://www.ncbi.nlm.nih.gov/pubmed/35833077
http://dx.doi.org/10.1155/2022/3055465
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