医学                        
                
                                
                        
                            痛风                        
                
                                
                        
                            计算机断层摄影术                        
                
                                
                        
                            价值(数学)                        
                
                                
                        
                            断层摄影术                        
                
                                
                        
                            放射科                        
                
                                
                        
                            医学物理学                        
                
                                
                        
                            内科学                        
                
                                
                        
                            机器学习                        
                
                                
                        
                            计算机科学                        
                
                        
                    
            作者
            
                Sally K. Stauder,Paul M. Peloso            
         
                    
            出处
            
                                    期刊:The Journal of Rheumatology
                                                         [The Journal of Rheumatology Publishing Company Limited]
                                                        日期:2022-07-15
                                                        卷期号:: jrheum.211246-jrheum.211246
                                                        被引量:5
                                 
         
        
    
            
            标识
            
                                    DOI:10.3899/jrheum.211246
                                    
                                
                                 
         
        
                
            摘要
            
            Objective This systematic literature review determined whether there is clinical utility for dual-energy computed tomography (DECT) to inform on prognosis for patients with gout. With DECT, individualized treatment plans could be developed based on the patient's unique urate burden, with DECT being used as a clinical outcome measure in gout management. Methods To evaluate DECT as a reliable, valid, and sensitive prognostic instrument, a librarian-assisted search was undertaken in PubMed and Embase for articles on gout and DECT informing on reliability; content, construct, and criterion validity; sensitivity to change; and minimum clinically important changes. Results This systematic literature review showed that DECT has high intra- and interrater reliability. Tophus burden correlates with functional loss to show content validity. DECT volume is positively correlated with death, cardiovascular risk factors, and the risk for future gout flares. DECT has excellent sensitivity to change with effective urate-lowering therapies. Conclusion DECT is a promising prognostic tool based on its high reliability, sensitivity to change, and emerging validity. Additional large, well-designed, prospective cohort studies are needed to fully evaluate its prognostic utility. This systematic review suggests that DECT very likely has additional prognostic information beyond clinical tophi assessment alone.
         
            
 
                 
                
                    
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