Brian C Lau1, Daria Motamedi2, Anthony Luke1. 1. Division of Shoulder and Sports Medicine Surgery, Department of Orthopaedic Surgery, University of California San Francisco Medical Center, San Francisco, California. 2. Department of Radiology and Biomedical Imaging, University of California San Francisco Medical Center, San Francisco, California.
Abstract
OBJECTIVE: Musculoskeletal ultrasound imaging is increasingly being used for static and dynamic imaging of tendons, muscles, ligaments, and bones. New, hand-held, pocket-sized ultrasounds are more portable and affordable. The purpose of this study was to evaluate the feasibility of pocket-sized ultrasound to diagnose shoulder pathology. DESIGN: Prospective cohort study. SETTING: Tertiary Care Hospital. METHODS: Ten consecutive patients (mean age 54; range 42-68 years) referred for a shoulder ultrasound for evaluation of shoulder pain were recruited. A diagnostic ultrasound was performed first with a pocket-sized ultrasound machine (VScan; General Electric, Northville, MI) and cine images saved for later review. Next, standard diagnostic ultrasound by a radiology technician specialized in musculoskeletal ultrasound was performed using (LOGIQ; General Electric, Northville, MI) ultrasound. The radiology report from the standard diagnostic ultrasound was used as the gold standard for diagnoses. Two independent evaluators, a musculoskeletal-trained radiologist and a sports-medicine-trained physician with over 8 years of experience with musculoskeletal ultrasound, reviewed the images from the pocket-sized ultrasound. RESULTS: Nine of the studies were diagnosed with a pathologic entity during the standard diagnostic ultrasound and 1 was found to be normal. Diagnoses ranged from biceps tendinopathy, calcific tendonitis, and partial-articular-sided rotator cuff tear. Evaluator 1 correctly identified 7/10 diagnoses and evaluator 2 correctly identified 8/10 diagnoses. The evaluators also rated their confidence in diagnosis as 4.2/5 and the image quality as 3.7/4 from the pocket-sized ultrasound. DISCUSSION: The findings from this study demonstrate that pocket-sized, hand-held ultrasound machines may be used to identify shoulder pathology.
OBJECTIVE:Musculoskeletal ultrasound imaging is increasingly being used for static and dynamic imaging of tendons, muscles, ligaments, and bones. New, hand-held, pocket-sized ultrasounds are more portable and affordable. The purpose of this study was to evaluate the feasibility of pocket-sized ultrasound to diagnose shoulder pathology. DESIGN: Prospective cohort study. SETTING: Tertiary Care Hospital. METHODS: Ten consecutive patients (mean age 54; range 42-68 years) referred for a shoulder ultrasound for evaluation of shoulder pain were recruited. A diagnostic ultrasound was performed first with a pocket-sized ultrasound machine (VScan; General Electric, Northville, MI) and cine images saved for later review. Next, standard diagnostic ultrasound by a radiology technician specialized in musculoskeletal ultrasound was performed using (LOGIQ; General Electric, Northville, MI) ultrasound. The radiology report from the standard diagnostic ultrasound was used as the gold standard for diagnoses. Two independent evaluators, a musculoskeletal-trained radiologist and a sports-medicine-trained physician with over 8 years of experience with musculoskeletal ultrasound, reviewed the images from the pocket-sized ultrasound. RESULTS: Nine of the studies were diagnosed with a pathologic entity during the standard diagnostic ultrasound and 1 was found to be normal. Diagnoses ranged from biceps tendinopathy, calcific tendonitis, and partial-articular-sided rotator cuff tear. Evaluator 1 correctly identified 7/10 diagnoses and evaluator 2 correctly identified 8/10 diagnoses. The evaluators also rated their confidence in diagnosis as 4.2/5 and the image quality as 3.7/4 from the pocket-sized ultrasound. DISCUSSION: The findings from this study demonstrate that pocket-sized, hand-held ultrasound machines may be used to identify shoulder pathology.
Authors: Giulia Corte; Sara Bayat; Koray Tascilar; Larissa Valor-Mendez; Louis Schuster; Johannes Knitza; Filippo Fagni; Georg Schett; Arnd Kleyer; David Simon Journal: Diagnostics (Basel) Date: 2021-06-22