Giyoung Park1, Dongrak Kwon1, Junghyun Park2. 1. Department of Rehabilitation Medicine, Catholic University of Daegu School of Medicine, Daegu, Korea. 2. Department of Rehabilitation Medicine, Gangnam Severance Hospital, Rehabilitation Institute of Neuromuscular Disease, Yonsei University College of Medicine, Seoul, Korea. Email: rmpjh@yuhs.ac.
Abstract
BACKGROUND: Conventional ultrasonography or magnetic resonance (MR) imaging is commonly performed to obtain information about the severity of the disease, location of the injury, and differential diagnosis. The aim of this research was to investigate the diagnostic confidence of sonoelastography as an adjunct to greyscale ultrasonography in lateral elbow tendinopathy. METHODS: A single experienced physiatrist performed greyscale ultrasonography and sonoelastography in 28 patients (9 men, 19 women; mean age, 48.5 years; age range, 36-67 years) with unilateral symptoms of lateral elbow tendinopathy; the asymptomatic elbows were used as controls. Greyscale images were described as normal, tendinosis, partial-thickness tear, and full-thickness tear. Sonoelastographic images of the common extensor tendon were analyzed qualitatively (scoring of the elastic spectrum) and quantitatively (based on a color histogram). RESULTS: Both the imaging methods had high sensitivity, specificity, and accuracy for diagnosing lateral elbow tendinopathy. Considering the clinical diagnosis of lateral elbow tendinopathy, sonoelastography showed significantly higher diagnostic accuracy (96.4%) than ultrasonography (89.5%, P < 0.01). Quantitative analysis showed objective interpretation of the sonoelastographic images that revealed greater intensity of green and blue pixels in symptomatic elbows (P < 0.01). CONCLUSION: Sonoelastography increases diagnostic confidence in tennis elbow pathology over greyscale ultrasonography alone and may be an additional powerful diagnostic tool in cases of lateral elbow tendinopathy with inconclusive greyscale ultrasonographic findings.
BACKGROUND: Conventional ultrasonography or magnetic resonance (MR) imaging is commonly performed to obtain information about the severity of the disease, location of the injury, and differential diagnosis. The aim of this research was to investigate the diagnostic confidence of sonoelastography as an adjunct to greyscale ultrasonography in lateral elbow tendinopathy. METHODS: A single experienced physiatrist performed greyscale ultrasonography and sonoelastography in 28 patients (9 men, 19 women; mean age, 48.5 years; age range, 36-67 years) with unilateral symptoms of lateral elbow tendinopathy; the asymptomatic elbows were used as controls. Greyscale images were described as normal, tendinosis, partial-thickness tear, and full-thickness tear. Sonoelastographic images of the common extensor tendon were analyzed qualitatively (scoring of the elastic spectrum) and quantitatively (based on a color histogram). RESULTS: Both the imaging methods had high sensitivity, specificity, and accuracy for diagnosing lateral elbow tendinopathy. Considering the clinical diagnosis of lateral elbow tendinopathy, sonoelastography showed significantly higher diagnostic accuracy (96.4%) than ultrasonography (89.5%, P < 0.01). Quantitative analysis showed objective interpretation of the sonoelastographic images that revealed greater intensity of green and blue pixels in symptomatic elbows (P < 0.01). CONCLUSION: Sonoelastography increases diagnostic confidence in tennis elbow pathology over greyscale ultrasonography alone and may be an additional powerful diagnostic tool in cases of lateral elbow tendinopathy with inconclusive greyscale ultrasonographic findings.
Authors: Andrea S Klauser; Mathias Pamminger; Ethan J Halpern; Mohamed M H Abd Ellah; Bernhard Moriggl; Mihra S Taljanovic; Christian Deml; Judit Sztankay; Guenther Klima; Werner R Jaschke Journal: Eur Radiol Date: 2017-01-05 Impact factor: 5.315
Authors: Luca Maria Sconfienza; Domenico Albano; Georgina Allen; Alberto Bazzocchi; Bianca Bignotti; Vito Chianca; Fernando Facal de Castro; Elena E Drakonaki; Elena Gallardo; Jan Gielen; Andrea Sabine Klauser; Carlo Martinoli; Giovanni Mauri; Eugene McNally; Carmelo Messina; Rebeca Mirón Mombiela; Davide Orlandi; Athena Plagou; Magdalena Posadzy; Rosa de la Puente; Monique Reijnierse; Federica Rossi; Saulius Rutkauskas; Ziga Snoj; Jelena Vucetic; David Wilson; Alberto Stefano Tagliafico Journal: Eur Radiol Date: 2018-06-06 Impact factor: 5.315