Imaging of Rheumatoid Arthritis

A special issue of Diagnostics (ISSN 2075-4418). This special issue belongs to the section "Medical Imaging and Theranostics".

Deadline for manuscript submissions: 31 July 2024 | Viewed by 567

Special Issue Editor


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Guest Editor
Departamento de Radiología, Hospital Universitario de Bellvitge, L'Hospitalet de Llobregat, Barcelona, Spain
Interests: rheumatoid arthritis; ultrasound; MR imaging; PET-CT; termography

Special Issue Information

Dear Colleagues,

In Rheumatoid Arthritis, US and MRI play an important role. However, PET imaging is also becoming more and more important, e.g., for the differentiation between RA and other types of arthritis.

The purpose of this issue is to review hot topics in the imaging of RA, such as:

  • The use of US and MRI in clinically suspect arthralgia (CSA)-a pre-RA stage in which a patient with arthralgia presents with features clinically suspicious of the development of RA.
  • New MRI sequences that avoid contrast administration (Dixon technique, diffusion).
  • Nuclear medicine, including PET with with 18F-FDG, 18F-NaF, or other specific radiopharmaceuticals.

In addition, the current status of the following topics will be reviewed:

  • Conventional radiography in RA.
  • Imaging of RA of wrist and hand.
  • Imaging of RA of the foot and ankle.
  • Imaging of RA of the cervical spine.
  • Imaging of RA of great joints (shoulder, elbow, hip and knee).
  • Imaging of thoracic manifestations of rheumatoid arthritis.

Dr. José Antonio Narváez
Guest Editor

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Keywords

  • clinical suspect arthralgia
  • power Doppler US
  • difussion MR imaging
  • Dixon sequences MR imaging
  • PET imaging

Published Papers (1 paper)

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Research

13 pages, 3040 KiB  
Article
External Validation of the Machine Learning-Based Thermographic Indices for Rheumatoid Arthritis: A Prospective Longitudinal Study
by Isabel Morales-Ivorra, Delia Taverner, Oriol Codina, Sonia Castell, Peter Fischer, Derek Onken, Píndaro Martínez-Osuna, Chakib Battioui and Manuel Alejandro Marín-López
Diagnostics 2024, 14(13), 1394; https://doi.org/10.3390/diagnostics14131394 - 30 Jun 2024
Viewed by 385
Abstract
External validation is crucial in developing reliable machine learning models. This study aimed to validate three novel indices—Thermographic Joint Inflammation Score (ThermoJIS), Thermographic Disease Activity Index (ThermoDAI), and Thermographic Disease Activity Index-C-reactive protein (ThermoDAI-CRP)—based on hand thermography and machine learning to assess joint [...] Read more.
External validation is crucial in developing reliable machine learning models. This study aimed to validate three novel indices—Thermographic Joint Inflammation Score (ThermoJIS), Thermographic Disease Activity Index (ThermoDAI), and Thermographic Disease Activity Index-C-reactive protein (ThermoDAI-CRP)—based on hand thermography and machine learning to assess joint inflammation and disease activity in rheumatoid arthritis (RA) patients. A 12-week prospective observational study was conducted with 77 RA patients recruited from rheumatology departments of three hospitals. During routine care visits, indices were obtained at baseline and week 12 visits using a pre-trained machine learning model. The performance of these indices was assessed cross-sectionally and longitudinally using correlation coefficients, the area under the receiver operating curve (AUROC), sensitivity, specificity, and positive and negative predictive values. ThermoDAI and ThermoDAI-CRP correlated with CDAI, SDAI, and DAS28-CRP cross-sectionally (ρ = 0.81; ρ = 0.83; ρ = 0.78) and longitudinally (ρ = 0.55; ρ = 0.61; ρ = 0.60), all p < 0.001. ThermoDAI and ThermoDAI-CRP also outperformed Patient Global Assessment (PGA) and PGA + C-reactive protein (CRP) in detecting changes in 28-swollen joint counts (SJC28). ThermoJIS had an AUROC of 0.67 (95% CI, 0.58 to 0.76) for detecting patients with swollen joints and effectively identified patients transitioning from SJC28 > 1 at baseline visit to SJC28 ≤ 1 at week 12 visit. These results support the effectiveness of ThermoJIS in assessing joint inflammation, as well as ThermoDAI and ThermoDAI-CRP in evaluating disease activity in RA patients. Full article
(This article belongs to the Special Issue Imaging of Rheumatoid Arthritis)
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