Visualization of the inferoposterior thoracic wall (VIP) and boomerang signs-novel sonographic signs of right pleural effusion.

OBJECTIVES: This study is to present the diagnostic values of the novel sonographic visualization of the inferoposterior thoracic wall (VIP) and boomerang signs in detecting right pleural effusion by sonologists with little to no experience in ultrasound. METHODS: A prospective analysis of a convenience sample of patients who were assessed by junior intensive care physicians was performed. The patients all underwent computed tomography (CT) of the chest or abdomen with lung bases as part of their care regardless of indication; the results were interpreted by radiologists and were considered the gold standard. Sonography was performed to assess for the presence of the VIP and boomerang signs. Sonographic and chest radiographic findings were compared against CT results. RESULTS: 73 patients were enrolled. The sensitivity and specificity for the VIP sign were 0.85 (95% confidence interval [CI], 0.67-0.94) and 0.86 (95% CI, 0.70-0.95). The sensitivity and specificity for the boomerang sign were 0.78 (95% CI, 0.60-0.90) and 0.87 (95% CI, 0.71-0.95). However, the sensitivity and specificity for the traditional approach of detecting an anechoic collection above the diaphragm to indicate pleural effusion were only 0.54 (95% CI, 0.37-0.71) and 0.86 (95% CI, 0.80-0.99). CONCLUSIONS: Despite inexperience in sonography, the novel VIP and boomerang signs show high diagnostic values in detecting right pleural effusion compared to the traditional methods.

The validity of 9 physical tests for full-thickness rotator cuff tears after primary anterior shoulder dislocation in ED patients.

PURPOSE: This study was undertaken to validate the diagnostic values of 9 different physical tests in emergency department patients with primary anterior shoulder dislocation (PASD) to select the best screening test for full-thickness rotator cuff tear (FTRCT) after PASD. METHODS: A prospective analysis of 49 consecutive patients with x-ray-confirmed PASD was performed. All patients were followed at an average of 6.9 days (ranged from 4 to 10 days) in the emergency department. On the day of follow-up, 9 physical tests (namely, Jobe test, external rotation lag sign test, infraspinatus muscle strength test, dropping test, drop test, liftoff test, internal rotation lag sign test, belly-press test, and belly-off test) followed by shoulder ultrasound scan were performed to detect FTRCT. RESULTS: The prevalence of FTRCT after PASD is 37% (95% confidence interval [CI], 24%-52%). Fourteen percent of the patients with PASD were complicated with isolated supraspinatus tendon tear, whereas 22% were complicated with supraspinatus tendon tear combined with subscapularis and/or infraspinatus tendon tear. Jobe test has the highest sensitivity among the 9 physical tests being evaluated. The sensitivity, specificity, positive predictive value, negative predictive value, likelihood ratio for positive test, and likelihood ratio for negative test of Jobe test as a screening test for FTRCT after PASD are 89% (95% CI, 64%-98%), 55% (95% CI, 36%-72%), 53% (95% CI, 35%-71%), 89% (95% CI, 65%-98%), 1.97 (95% CI, 1.29-2.99), and 0.20 (95% CI, 0.05-0.79), respectively. CONCLUSIONS: The prevalence of FTRCT after PASD is 37% (95% CI, 24%-52%). Jobe test has the highest sensitivity (89% CI, 64%-98%) among the tests.

Dynamic ultrasonographic sign for posterior shoulder dislocation.

Acute posterior shoulder dislocation is rare, and its early diagnosis remains a challenge to the emergency physician. This report describes two cases of acute posterior shoulder dislocation confirmed by bedside ultrasound scan performed by the emergency physician. Bedside ultrasound for diagnosis of posterior shoulder dislocation is accurate, noninvasive, repeatable, convenient, and without ionizing radiation. Dynamic ultrasound sign of posterior shoulder dislocation and using bedside ultrasound for verification of successful reduction of posterior shoulder dislocation are described.