Ultrasound-detected pathologies cluster into groups with different clinical outcomes: data from 3000 community referrals for shoulder pain

Background Ultrasound is increasingly used to evaluate shoulder pain but the benefits of this are unclear. This study examined whether ultrasound-defined pathologies have implications for clinical outcomes. Methods We extracted reported pathologies from 3000 ultrasound scans of people with shoulder pain referred from primary care. Latent class analysis (LCA) identified whether individual pathologies clustered in groups. Optimal group number was determined by the minimum Bayesian information criterion. A questionnaire was sent to all patients scanned over a 12-month period (n=2322). Data collected included demographics, treatments received, current pain and function. The relationship between pathology-defined groups and clinical outcomes was examined. Results LCA revealed four groups: 1. bursitis with limited inflammation elsewhere (n=1280); 2. bursitis with extensive inflammation (n=595); 3. rotator cuff tears (n=558); 4. limited pathology (n=567). 777 (33%) completed questionnaires; median (IQR) duration post-ultrasound scan was 25 (22, 29) months. Subsequent injections were most common in groups 1 & 2 (groups 1-4: 76%; 67%; 48%; 61%); surgery was most common in group 3 (23%; 21%; 28%; 16%). Shoulder Pain and Disability Index scores were highest in group 3 (median 48 and 30 respectively) and lowest in group 4 (32 and 9). Patients in group 4 who had surgery reported poor outcomes. Conclusion In a community-based population, ultrasound identified clusters of pathologies. Our retrospective data suggests these groups have different treatment pathways and outcomes. This requires replication in a prospective study to determine the value of a pathology-based classification in people with shoulder pain

Understanding the biomechanical “spread” of joint pain: knee pain predicts subsequent shoulder pain and this is mediated by leg weakness. Data from the osteoarthritis initiative

Joint pain is common in older adults; typically multiple joints are involved. A greater number of painful sites is associated with higher levels of pain intensity in affected joints, more functional impairment and poorer quality of life. However, little is known about the pattern of multi-site joint pain development. We aimed to assess whether the number of painful joints increases over time, whether pain in certain joints precedes pain in others, and to assess whether the association is mediated by weakness in a cohort of older adults with painful knee osteoarthritis or at risk of knee osteoarthritis in the NIH Osteoarthritis Initiative (OAI)

Shear-Wave Elastography of Benign versus Malignant Musculoskeletal Soft-Tissue Masses: Comparison with Conventional US and MRI

Purpose: To examine if shear-wave elastography (SWE) improves the accuracy of diagnosing soft-tissue masses as benign or malignant compared with US alone or in combination with MRI. Materials and Methods: Two hundred six consecutive adult participants (mean age, 57.7 years; range, 18–91 years), including 89 men (median age, 56.0 years; range, 21–91 years) and 117 women (median age, 59.1 years; range, 18–88 years), who were referred for biopsy of a soft-tissue mass were prospectively recruited from December 2015 through March 2017. Participants underwent B-mode US, MRI, and SWE prior to biopsy. Three musculoskeletal radiologists independently reviewed US images alone, followed by US and MRI images together, and classified lesions as benign, probably benign, probably malignant, or malignant. For SWE, the area under the receiver operating characteristic (ROC) curve (AUC) was calculated for transverse shear-wave velocity (SWV). Multivariable logistic regression was used to investigate the association between SWE and malignancy alongside individual demographic and imaging variables. Results: At histologic examination, 79 of 206 (38%) participants had malignant lesions. SWV showed good diagnostic accuracy for lesions classified as benign or probably benign by US alone (AUC = 0.87 [95% confidence interval {CI}: 0.79, 0.95]). SWV did not provide substantive diagnostic information for lesions classified as probably malignant or malignant, whether the classification was made with or without MRI. However, multivariable modeling indicated that diagnostic accuracy may vary by lesion position (interaction P = .02; superficial, odds ratio [OR] = 17.7 [95% CI: 1.50, 207], P = .02; deep/mixed, OR = 0.24 [95% CI: 0.07, 0.86], P = .03) and participant age (interaction P = .01; eg, age 43 years, OR = 0.72 [95% CI: 0.15, 3.5], P = .69; age 72 years, OR = 0.08 [95% CI: 0.02, 0.37], P = .001). Conclusion: Shear-wave elastography can increase accuracy of soft-tissue lesion diagnosis in conjunction with US. However, a single cut-off may not be universally applicable with diagnostic accuracy that is affected by lesion position and patient age

The usefulness of ultrasound in predicting outcomes in patients with shoulder pain: a prospective observational study

Objectives Shoulder pain is common but current clinical classification has limited utility. We aimed to determine whether groups of ultrasound-based shoulder pathologies exist and to evaluate outcomes according to identified groups and individual pathologies. Methods This was a prospective study of a community-based cohort with shoulder pain referred for their first ultrasound scan at a single radiology unit, with subsequent routine clinical care. Patient-reported outcomes were collected at baseline, 2 weeks and 6 months; standardized ultrasound reporting was employed. Latent class analysis (LCA) identified ultrasound pathology–based groups. Multiple linear regression analysis explored associations between baseline pathologies, subsequent treatment and Shoulder Pain and Disability Index (SPADI). Short-term response to corticosteroid injections was investigated. Results Of 500 participants (mean age 53.6 years; 52% female), 330 completed follow-up. LCA identified four groups: bursitis with (33%) or without (27%) acromioclavicular joint degeneration, rotator cuff tear (21%) and no bursitis/tear (19%). Total SPADI was higher at baseline for cuff tears (mean 55.1 vs 49.7–51.3; overall P = 0.005), but accounting for this, groups did not differ at 6 months (43.5 vs 38.5–40.5; P = 0.379). Baseline SPADI was the only predictor of 6-month SPADI retained by penalized modelling; neither LCA-derived ultrasound groups nor individual pathologies were selected. Response to baseline injection at week 2 did not differ between groups (mean SPADI 40.1–43.8; P = 0.423). Conclusion Ultrasound-based classification (groups or individual pathologies) of shoulder pain did not predict medium-term outcomes using current treatments. The role of routine diagnostic ultrasound for shoulder pain needs consideration; it may be useful to establish evidence-based therapies for specific pathologies

Responsiveness of clinical and ultrasound outcome measures in musculoskeletal systemic lupus erythematosus

Objective To assess the responsiveness of clinical outcome measures in musculoskeletal SLE compared with ultrasound. Methods A prospective pilot study was conducted in consecutive SLE patients with inflammatory musculoskeletal symptoms. Clinical assessments including SLEDAI, BILAG, 28-tender and swollen joint counts, physician and patient VAS and ultrasound were performed at 0, 2 and 4 weeks following 120mg intramuscular methylprednisolone acetate. Responsiveness was analysed using changes and effect sizes using Cohen’s criteria. Results 20 patients were recruited. 15/20 had clinical swelling at baseline. All clinical and US parameters were significantly improved at week 4 (all p≤0.01). Musculoskeletal-BILAG score improved in 16/20. Musculoskeletal-SLEDAI improved in 7/20. SRI-4 criteria were assessed in 19 patients with SLEDAI>= 4 at baseline met in 9/19 at 4 weeks. Effect sizes at 4 weeks were large (>0.5) for US, physician VAS and BILAG and medium (>0.3) for joint counts and SLEDAI. Large effect sizes for improvement in US GS and PD were observed in both SRI responders (r=-0.51 and -0.56 respectively) and non-responders (r=-0.62 and -0.59) at 4 weeks. Conclusions This is the first study to measure the responsiveness of clinical outcome measures in musculoskeletal SLE against an objective inflammation measure. BILAG and physician VAS were the most responsive clinical instruments. US was highly responsive in musculoskeletal SLE, while SLEDAI and joint counts appeared suboptimal for detection of improvement. These results suggest that clinical trials based on the SLEDAI and SRI-4 may underestimate the efficacy of therapy in SL