Literature DB >> 33254064

A novel use of combined thermal and ultrasound imaging in detecting joint inflammation in rheumatoid arthritis.

York Kiat Tan1, Cassandra Hong2, HuiHua Li3, John Carson Allen4, Julian Thumboo5.   

Abstract

PURPOSE: To evaluate the use of combined thermal and ultrasound imaging to assess joint inflammation in rheumatoid arthritis (RA).
METHOD: 22-joint (bilateral hands) thermography and ultrasonography were performed. For each patient, the MAX, MIN and AVG represent the sum of the temperature differences with a control temperature, for the respective maximum (Tmax), minimum (Tmin) and average (Tavg) temperatures at the joints. MAX (PD), MIN (PD) and AVG (PD) represent the results of combined thermal imaging with a patient's total ultrasound power Doppler (PD) joint inflammation score (Total PD) (when Total PD > median score, MAX, MIN and AVG was multiplied by a factor of 2, otherwise MAX (PD), MIN (PD) and AVG (PD) remained the same as the MAX, MIN and AVG). Pearson correlation and linear regression were used to assess correlation and characterize relationships of imaging parameters with the 28-joint disease activity score (DAS28).
RESULTS: In this cross-sectional study, 814 joints were examined in 37 adult RA patients (75.7 % female, 75.7 % Chinese; mean DAS28, 4.43). Among the imaging parameters, only MAX (PD) and AVG (PD) correlated significantly with DAS28 (correlation coefficient (95 % CI): MAX (PD), 0.393 (0.079, 0.636), P = 0.016; AVG (PD): 0.376 (0.060, 0.624), P = 0.022). Similarly, only MAX (PD) and AVG (PD) demonstrated a statistically significant relationship with DAS28 (regression coefficient (95 % CI): MAX (PD), 0.009 (0.002, 0.015), P = 0.016; AVG (PD), 0.011 (0.002, 0.020), P = 0.022).
CONCLUSIONS: Novel use of combined thermal and ultrasound imaging in RA shows superiority to either imaging alone in terms of correlation with DAS28.
Copyright © 2020 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Joints; Rheumatoid arthritis; Synovitis; Thermography; Ultrasonography

Mesh:

Year:  2020        PMID: 33254064     DOI: 10.1016/j.ejrad.2020.109421

Source DB:  PubMed          Journal:  Eur J Radiol        ISSN: 0720-048X            Impact factor:   3.528


  3 in total

1.  Assessment of inflammation in patients with rheumatoid arthritis using thermography and machine learning: a fast and automated technique.

Authors:  Isabel Morales-Ivorra; Javier Narváez; Carmen Gómez-Vaquero; Carmen Moragues; Joan M Nolla; José A Narváez; Manuel Alejandro Marín-López
Journal:  RMD Open       Date:  2022-07

2.  Infrared Thermography for the Evaluation of Inflammatory and Degenerative Joint Diseases: A Systematic Review.

Authors:  Guglielmo Schiavon; Gianluigi Capone; Monique Frize; Stefano Zaffagnini; Christian Candrian; Giuseppe Filardo
Journal:  Cartilage       Date:  2021-12       Impact factor: 3.117

3.  The Value of Thermal Imaging for Knee Arthritis: A Single-Center Observational Study.

Authors:  Soo Min Ahn; Joo Hyang Chun; Seokchan Hong; Chang-Keun Lee; Bin Yoo; Ji Seon Oh; Yong-Gil Kim
Journal:  Yonsei Med J       Date:  2022-02       Impact factor: 2.759

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.