A novel model to assess disease activity in Takayasu arteritis based on F-18-FDG-PET/CT: a Chinese cohort study

RHEUMATOLOGY(2022)

引用 3|浏览9
暂无评分
摘要
Objective To investigate the utility of F-18-fluorodeoxyglucose positron emission tomography/computed tomography (F-18-FDG-PET/CT) in assessing disease activity in Takayasu arteritis (TA). Methods Ninety-one patients with TA were recruited from a Chinese cohort. Clinical data, acute-phase reactants and F-18-FDG-PET/CT findings were simultaneously recorded. The value of using F-18-FDG-PET/CT to identify active disease was evaluated, using ESR as a reference. Disease activity assessment models were constructed and concordance index (C-index), net reclassification index (NRI), and integrated discrimination index (IDI) were evaluated to compare the benefits of the new modes with ESR and the Kerr score. Results In total, 64 (70.3%) cases showed active disease. Higher levels of ESR and CRP, and lower IL-2 receptor (IL-2R) levels were observed in active cases. F-18-FDG-PET/CT parameters measured by determining the standard uptake value (SUV), including SUVmean, SUVratio1, SUVratio2, sum of SUVmean and sum of SUVmax, were significantly higher in active disease groups. The C-index threshold of ESR to indicate active disease was 0.78 (95% CI: 0.69, 0.88). The new activity assessment model combining ESR, sum of SUVmean and IL-2R showed significant improvement in C-index over the ESR method (0.96 vs 0.78, P < 0.01; NRI 1.63, P < 0.01; and IDI 0.48, P < 0.01). The new model also demonstrated modest superiority to the Kerr score assessment (0.96 vs 0.87, P = 0.03; NRI 1.19, P < 0.01; and IDI 0.33, P < 0.01). Conclusions A novel F-18-FDG-PET/CT-based method that involves combining the sum of SUVmean with ESR score and IL-2R levels demonstrated superiority in identifying active TA compared with conventional methods.
更多
查看译文
关键词
Takayasu arteritis,disease activity,F-18-fluorodeoxyglucose positron emission tomography,computed tomography,biomarkers
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要