Ruling out rotator cuff tear in shoulder radiograph series using deep learning: redefining the role of conventional radiograph-Reference-Cited by-同舟云学术

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Ruling out rotator cuff tear in shoulder radiograph series using deep learning: redefining the role of conventional radiograph

Published:2020-02-05 Issue:5 Volume:30 Page:2843-2852
ISSN:0938-7994
Container-title:European Radiology
language:en
Short-container-title:Eur Radiol

Author:

Kim Youngjune,Choi Dongjun,Lee Kyong Joon,Kang Yusuhn^ORCID,Ahn Joong Mo,Lee Eugene,Lee Joon Woo,Kang Heung Sik

Funder

National Research Foundation of Korea (NRF) grant funded by the Korea government

National Research Foundation of Korea (NRF) grant funded by the Ministry of Education

SNUBH Research Fund

Publisher

Springer Science and Business Media LLC

Subject

Radiology Nuclear Medicine and imaging,General Medicine

Link

http://link.springer.com/content/pdf/10.1007/s00330-019-06639-1.pdf

Reference43 articles.

1. de Jesus JO, Parker L, Frangos AJ, Nazarian LN (2009) Accuracy of MRI, MR arthrography, and ultrasound in the diagnosis of rotator cuff tears: a meta-analysis. AJR Am J Roentgenol 192:1701–1707

2. Roy JS, Braen C, Leblond J et al (2015) Diagnostic accuracy of ultrasonography, MRI and MR arthrography in the characterisation of rotator cuff disorders: a systematic review and meta-analysis. Br J Sports Med 49:1316–1328

3. Amini B, Beckmann NM, Beaman FD et al (2018) ACR Appropriateness Criteria® shoulder pain-traumatic. J Am Coll Radiol 15:S171–S188

4. Small KM, Adler RS, Shah SH et al (2018) ACR Appropriateness Criteria® shoulder pain—atraumatic. J Am Coll Radiol 15:S388–S402

5. Pearsall AW 4th, Bonsell S, Heitman RJ, Helms CA, Osbahr D, Speer KP (2003) Radiographic findings associated with symptomatic rotator cuff tears. J Shoulder Elbow Surg 12:122–127

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