Objectives This is a prospective study to evaluate the clinical value of high‐frequency ultrasound (HFUS), superb microvascular imaging (SMI), and contrast‐enhanced ultrasound (CEUS) in differentiation of pigmented villonodular synovitis (PVNS) and highly active rheumatoid arthritis (RA). Methods Twenty PVNS patients and 24 active RA patients were selected to undergo HFUS, SMI, and CEUS examinations. The characteristics of HFUS, SMI, and CEUS in PVNS and RA were compared, and the differential diagnosis performances of HFUS, SMI, and CEUS in PVNS and RA were evaluated by receiver operating characteristic (ROC) analysis. Results There were statistically significant in joint effusion, synovial thickness, synovial morphology, synovial echo, synovial vessel shape, synovial enhanced direction, and enhanced pattern between PVNS and RA (P < .05). However, no statistically significant were found in bone erosion, synovial boundary, blood signal grading of synovium, synovial enhanced strength, and CEUS quantitative parameters (including PI, TTP, S, MTT, and AUC) (P > .05). The AUC of HFUS, SMI, and CEUS for differential diagnosis PVNS and RA were 0.832, 0.675, and 0.817, respectively. The AUC of HFUS + SMI, HFUS + CEUS, SMI + CEUS, HFUS + SMI + CEUS were 0.923, 0.940, 0.817, and 0.940, respectively. The AUC of HFUS + SMI and HFUS + CEUS was higher than that of each alone (P < .05). Conclusions HFUS, SMI, and CEUS can be used as supplementary methods for diagnosis and differential diagnosis in PVNS and active RA. What is more, the combination of HFUS + SMI and HFUS + CEUS was suggested.

This study aimed to explore the predictive factors of nonmalignant pathological diagnosis and final diagnosis of ultrasound-guided cutting biopsy for peripheral pulmonary diseases. A total of 470 patients with peripheral lung disease diagnosed as nonmalignant by ultrasound-guided cutting biopsy in the First Affiliated Hospital of Guangxi Medical University from January 2017 to May 2020 were included. Ultrasound biopsy was performed to determine the correctness of pathological diagnosis. Independent risk factors of malignant tumor were predicted by multivariate logistic regression analysis. Pathological biopsy results showed that 162 (34.47%) of the 470 biopsy data were specifically benign, and 308 (65.53%; malignant lesions: 25.3%, benign lesions: 74.7%) were nondiagnostic findings. The final diagnoses were benign in 387 cases and malignant in 83 cases. In the nondiagnostic biopsy malignant risk prediction analysis, lesion size (OR = 1.025, P = 0.005 ), partial solid lesions (OR = 2.321, P = 0.035 ), insufficiency (OR = 6.837, P < 0.001 ), and presence of typical cells (OR = 34.421, P = 0.001 ) are the final important independent risk factors for malignant tumors. In addition, 30.1% (25/83) of patients with nonmalignant lesions who were finally diagnosed with malignant tumors underwent repeated biopsy, and 92.0% (23/25) were diagnosed during the second repeated biopsy. 59.0% (49/83) received additional invasive examination. Nondiagnostic biopsy predictors of malignant risk include lesion size, partial solid lesions, insufficiency, and presence of atypical cells. When a nonmalignant result is obtained for the first time, the size of the lesion, whether the lesion is subsolid, and the type of pathology obtained should be reviewed.