Diagnostic Accuracy of Ultrasonography for Rotator Cuff Tears: A Systematic Review and Meta-analysis.

MRI diagnostic imaging diagnostic ultrasound rotator cuff systematic review

Journal

Orthopaedic journal of sports medicine
ISSN: 2325-9671
Titre abrégé: Orthop J Sports Med
Pays: United States
ID NLM: 101620522

Informations de publication

Date de publication:
Oct 2021
Historique:
received: 04 04 2021
accepted: 04 05 2021
entrez: 18 10 2021
pubmed: 19 10 2021
medline: 19 10 2021
Statut: epublish

Résumé

With recent improvements in transducer strength, image resolution, and operator training, ultrasound (US) provides an excellent alternative imaging modality for the diagnosis of rotator cuff tears. To evaluate the diagnostic accuracy of US for partial- and full-thickness rotator cuff tears and biceps tendon tears, compare diagnostic values with those of magnetic resonance imaging (MRI) using arthroscopy as the reference standard, assess longitudinal improvements in accuracy, and compare diagnostic values from operators with different training backgrounds. Systematic review; Level of evidence, 3. The PubMed and Cochrane Library databases were systematically searched for full-text journal articles published between January 1, 2010, and April 1, 2020. The inclusion criteria were studies that evaluated the diagnostic accuracy of US for rotator cuff tears or biceps tendon tears utilizing arthroscopy as the reference standard. The exclusion criteria were studies with <10 patients, studies including massive tears without reporting diagnostic data for specific tendons, and studies lacking diagnostic outcome data. Extracted outcomes included diagnostic accuracy, sensitivity, specificity, negative predictive value, and positive predictive value. The mean difference and 95% confidence interval were calculated for both US and MRI diagnostic values, and meta-analysis was conducted using the Mantel-Haenszel random-effects model. In total, 23 eligible studies involving 2054 shoulders were included. US demonstrated a higher median diagnostic accuracy for supraspinatus tendon tears (0.83) and biceps tendon tears (0.93) as compared with subscapularis tendon tears (0.76). US was found to have a higher median accuracy (0.93) for full-thickness supraspinatus tears than partial-thickness tears (0.81). US had superior median sensitivity for partial-thickness supraspinatus tears when performed by radiologists as opposed to surgeons (0.86 vs 0.57). Meta-analysis of the 5 studies comparing US and MRI demonstrated no statistically significant difference in diagnostic sensitivity, specificity, or accuracy for any thickness supraspinatus tears For experienced operators, US is a highly sensitive and specific diagnostic modality for the diagnosis of supraspinatus tears and demonstrates statistically equivalent capability to MRI in the diagnosis of both full- and partial-thickness rotator cuff tears.

Sections du résumé

BACKGROUND BACKGROUND
With recent improvements in transducer strength, image resolution, and operator training, ultrasound (US) provides an excellent alternative imaging modality for the diagnosis of rotator cuff tears.
PURPOSE OBJECTIVE
To evaluate the diagnostic accuracy of US for partial- and full-thickness rotator cuff tears and biceps tendon tears, compare diagnostic values with those of magnetic resonance imaging (MRI) using arthroscopy as the reference standard, assess longitudinal improvements in accuracy, and compare diagnostic values from operators with different training backgrounds.
STUDY DESIGN METHODS
Systematic review; Level of evidence, 3.
METHODS METHODS
The PubMed and Cochrane Library databases were systematically searched for full-text journal articles published between January 1, 2010, and April 1, 2020. The inclusion criteria were studies that evaluated the diagnostic accuracy of US for rotator cuff tears or biceps tendon tears utilizing arthroscopy as the reference standard. The exclusion criteria were studies with <10 patients, studies including massive tears without reporting diagnostic data for specific tendons, and studies lacking diagnostic outcome data. Extracted outcomes included diagnostic accuracy, sensitivity, specificity, negative predictive value, and positive predictive value. The mean difference and 95% confidence interval were calculated for both US and MRI diagnostic values, and meta-analysis was conducted using the Mantel-Haenszel random-effects model.
RESULTS RESULTS
In total, 23 eligible studies involving 2054 shoulders were included. US demonstrated a higher median diagnostic accuracy for supraspinatus tendon tears (0.83) and biceps tendon tears (0.93) as compared with subscapularis tendon tears (0.76). US was found to have a higher median accuracy (0.93) for full-thickness supraspinatus tears than partial-thickness tears (0.81). US had superior median sensitivity for partial-thickness supraspinatus tears when performed by radiologists as opposed to surgeons (0.86 vs 0.57). Meta-analysis of the 5 studies comparing US and MRI demonstrated no statistically significant difference in diagnostic sensitivity, specificity, or accuracy for any thickness supraspinatus tears
CONCLUSION CONCLUSIONS
For experienced operators, US is a highly sensitive and specific diagnostic modality for the diagnosis of supraspinatus tears and demonstrates statistically equivalent capability to MRI in the diagnosis of both full- and partial-thickness rotator cuff tears.

Identifiants

pubmed: 34660823
doi: 10.1177/23259671211035106
pii: 10.1177_23259671211035106
pmc: PMC8511934
doi:

Types de publication

Journal Article Review

Langues

eng

Pagination

23259671211035106

Informations de copyright

© The Author(s) 2021.

Déclaration de conflit d'intérêts

One or more of the authors has declared the following potential conflict of interest or source of funding: X.L. has received consulting fees and royalties from FH Ortho. J.D.K. has received consulting fees from Flexion and royalties from SLACK and Springer. R.L.P. has received grant/educational support from Arthrex. AOSSM checks author disclosures against the Open Payments Database (OPD). AOSSM has not conducted an independent investigation on the OPD and disclaims any liability or responsibility relating thereto.

Références

Int Orthop. 2016 May;40(5):975-9
pubmed: 26585865
Radiology. 2013 May;267(2):589-95
pubmed: 23401583
J Am Acad Orthop Surg. 2018 May 1;26(9):303-312
pubmed: 29621051
J Ultrasound. 2018 Jun;21(2):159-163
pubmed: 29500812
J Shoulder Elbow Surg. 2018 Jul;27(7):1263-1267
pubmed: 29398398
Ann Intern Med. 2011 Oct 18;155(8):529-36
pubmed: 22007046
J Ultrasound Med. 1984 Dec;3(12):549-51
pubmed: 6392585
J Orthop Surg Res. 2017 Apr 20;12(1):63
pubmed: 28427416
J Bone Joint Surg Am. 2013 Feb 6;95(3):266-72
pubmed: 23389790
J Shoulder Elbow Surg. 2016 Sep;25(9):1385-94
pubmed: 27424254
J Orthop Surg (Hong Kong). 2011 Apr;19(1):76-9
pubmed: 21519083
Stat Med. 2002 Jun 15;21(11):1539-58
pubmed: 12111919
J Bone Joint Surg Br. 2008 Jul;90(7):889-92
pubmed: 18591598
Heart. 2008 Jul;94(7):943-8
pubmed: 18552230
Rev Bras Ortop. 2015 Dec 12;45(5):418-25
pubmed: 27022589
Cureus. 2019 Sep 11;11(9):e5627
pubmed: 31700730
AJR Am J Roentgenol. 2011 Oct;197(4):942-8
pubmed: 21940583
Radiographics. 2006 Jan-Feb;26(1):e23
pubmed: 16352733
J Bone Joint Surg Br. 2008 Jul;90(7):827-32
pubmed: 18591587
Ultrasonography. 2019 Jul;38(3):215-220
pubmed: 30744304
Knee Surg Sports Traumatol Arthrosc. 2013 Jul;21(7):1593-7
pubmed: 22735978
BMJ. 2005 Nov 12;331(7525):1124-8
pubmed: 16282408
Cureus. 2019 May 1;11(5):e4581
pubmed: 31293841
Semin Ultrasound CT MR. 2000 Jun;21(3):164-91
pubmed: 10994687
Clin Sports Med. 2012 Oct;31(4):589-604
pubmed: 23040548
Cochrane Database Syst Rev. 2013 Sep 24;(9):CD009020
pubmed: 24065456
Eur Radiol. 2010 Feb;20(2):450-7
pubmed: 19727754
Shoulder Elbow. 2015 Jul;7(3):158-62
pubmed: 27582971
Arthroscopy. 2019 Jan;35(1):38-42
pubmed: 30473452
J Bone Joint Surg Am. 2012 Feb 1;94(3):227-33
pubmed: 22298054
Shoulder Elbow. 2016 Oct;8(4):250-7
pubmed: 27660657
AJR Am J Roentgenol. 2010 Dec;195(6):W440-6
pubmed: 21098177
Med Ultrason. 2020 May 11;22(2):197-202
pubmed: 32190853
J Orthop. 2018 Jan 16;15(1):99-101
pubmed: 29657448
Clin Orthop Relat Res. 2007 Feb;455:52-63
pubmed: 17179786
Ultrasound Med Biol. 2010 Dec;36(12):1981-9
pubmed: 20965645
Arthroscopy. 2010 Nov;26(11):1427-33
pubmed: 20875724
Bull Hosp Jt Dis (2013). 2016 Sep;74(3):207-11
pubmed: 27620544
AJR Am J Roentgenol. 2004 Nov;183(5):1465-8
pubmed: 15505321
Int J Shoulder Surg. 2011 Oct;5(4):90-4
pubmed: 22223958
Arthroscopy. 1995 Dec;11(6):672-6
pubmed: 8679026
Spine J. 2013 Jul;13(7):815-22
pubmed: 23562330
Arch Phys Med Rehabil. 2010 Oct;91(10):1616-25
pubmed: 20875523
Radiol Clin North Am. 1999 Jul;37(4):767-85, ix
pubmed: 10442080
Shoulder Elbow. 2014 Apr;6(2):72-4
pubmed: 27582917
Chin Med J (Engl). 2016 Feb 5;129(3):361-3
pubmed: 26831241
Ann Saudi Med. 2014 Nov-Dec;34(6):522-6
pubmed: 25971827
J Shoulder Elbow Surg. 2013 Dec;22(12):1662-6
pubmed: 24135416
Curr Rev Musculoskelet Med. 2018 Mar;11(1):113-121
pubmed: 29356951
J Shoulder Elbow Surg. 2010 Jan;19(1):116-20
pubmed: 19540777
Arthrosc Tech. 2013 Oct 07;2(4):e373-9
pubmed: 24400185
J Clin Epidemiol. 2009 Oct;62(10):1006-12
pubmed: 19631508
Br J Sports Med. 2015 Oct;49(20):1316-28
pubmed: 25677796
Orthop J Sports Med. 2020 Feb 5;8(2):2325967119900356
pubmed: 32076627
J Shoulder Elbow Surg. 2017 Dec;26(12):2067-2077
pubmed: 28893546
Pol J Radiol. 2017 Oct 20;82:634-637
pubmed: 29657628

Auteurs

Ali S Farooqi (AS)

Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, USA.

Alexander Lee (A)

Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, USA.

David Novikov (D)

Boston University School of Medicine, Boston, Massachusetts, USA.

Ann Marie Kelly (AM)

Sidney Kimmel Medical College at Thomas Jefferson University, Philadelphia, Pennsylvania, USA.

Xinning Li (X)

Boston University School of Medicine, Boston, Massachusetts, USA.

John D Kelly (JD)

Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, USA.

Robert L Parisien (RL)

Harvard Medical School, Boston, Massachusetts, USA.

Classifications MeSH