MRI Prediction Model for Tenosynovial Giant Cell Tumor with Risk of Diffuse-type

Abstract

To propose a magnetic resonance imaging (MRI) prediction model for diffuse-type tenosynovial giant cell tumors (D-TSGCTs). Anatomic locations were classified and then nodularity, margin, peripheral and internal hypointensity, and bone and cartilage involvement were evaluated on MRI. Student's t-test, chi-square test, diagnostic performance, logistic regression analysis, and decision tree were performed. Nineteen intra-articular (11 localized; eight diffuse) and 55 extra-articular (44 localized; 11 diffuse) TSGCTs were included. Extra-articular D-TSGCTs showed significantly more frequent multinodular (72.7% vs. 25.0%, p=0.009), and infiltrative lesions (90.9% vs. 34.1%, p=0.002), without peripheral hypointensity (90.9% vs. 18.2%, p < 0.001), and contained granular internal hypointensity (72.7% vs. 31.8%; p=0.003) with more frequent bone (81.8% vs. 27.3%; p=0.003) and cartilage (50.0% vs. 0.0%; p=0.038) involvement than localized-type. Intra-articular D-TSGCT also showed significance in all MRI features (100.0% vs. 9.1%, p=0.001; 100.0% vs. 27.3%, p=0.007; 100.0% vs. 36.4%, p=0.018; 100.0% vs. 27.3%, p=0.007; 50.0% vs. 0.0%, p=0.038), except bone involvement (37.5% vs. 9.1%, p=0.352) than localized-type. Cartilage involvement revealed the highest specificity (88.6-100.0%), regardless of location. Nodularity (100.0%; odds-ratio [OR]: 70.000) and peripheral hypointensity (90.9%; OR: 62.250) demonstrated the highest sensitivities ORs for D-TSGCT in intra-articular and extra-articular cases, respectively. MRI models for D-TSGCG beginning with the cartilage involvement in both anatomic locations and next on nodularity and peripheral hypointensity in intra-articular and extra-articular locations, respectively, exhibited sensitivity and specificity of 100% and 90.9% for intra-articular and 100% and 77.2% for extra-articular TSGCTs, respectively. MRI can suggest the risk of D-TSGCT by combining imaging features with anatomic locations.