This study aimed to assess infrared thermography (IRT) and ultrasonography (US) for detecting @entity625 in @entity4932 ( @entity4932 ) @entity1 . Although IRT could help us detecting @entity32 , IRT studies in @entity4932 @entity1 with @entity625 are still limited. Currently, no validated US criteria exist for detecting @entity625 , and the most useful parameters between Gray-scale ultrasound (GSUS) or Power Doppler ultrasound (PDUS) remain unclear. Therefore, this study focused on detecting @entity625 in varying degrees using IRT and US compared with physical examination. Of 46 @entity4932 @entity1 , 16 had previous @entity625 but currently inactive, 30 still had @entity625 , and the median ages (IQR) were 7.7 (4.3) and 10.2 (4.8) years respectively. Fifteen healthy @entity1 were included, with a median age (IQR) of 9.2 (2.0) years. Using IRT, mean temperature (Tmean) and maximum temperature (Tmax) at skin surface in the region of interest (ROI) in the @entity625 group were higher than in the inactive group and the healthy controls with p < 0.05. When @entity1 with @entity625 were subgroup analyzed by disease severity based on physical examination, the moderate to severe @entity625 had Tmean and Tmax higher than the mild @entity625 group with statistical significance. The Heat Distribution Index (HDI), two standard deviations of all pixel temperature values in the ROI, in the moderate to severe @entity625 group was higher than in the healthy controls (p = 0.027). The receiver operating characteristic analysis in @entity625 detection revealed diagnostic sensitivity of 85.7% and 71.4% and specificity of 80.0% and 93.3% at a cut-off points of Tmean >=  31.0    C and Tmax >=  32.3    C respectively. For US, GSUS and PDUS are useful in detecting @entity625 , providing high sensitivity (83.3%) and specificity (81.3%). Our study demonstrated that both IRT and US were applicable tools for detecting @entity625 .

The comparisons between thermography and ultrasonography with physical examination for wrist joint assessment in XXXX .

@entity1 :: ('9606', 'Species') :: ['participants', 'patients'] @entity32 :: ('MESH:D007249', 'Disease') :: ['joint inflammation'] @entity625 :: ('MESH:D001168', 'Disease') :: ['wrist arthritis', 'arthritis'] @entity4932 :: ('MESH:D001171', 'Disease') :: ['JIA', 'juvenile idiopathic arthritis']
@entity4932 :: (MESH:D001171,Disease) :: ['juvenile idiopathic arthritis']
