Missed Diagnosis In Rotator Cuff Injury On MRI And Ultrasonography: A Systematic Review And Meta-Analysis Of Studies Published In The Last 10 Years
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Abstract
Missed diagnoses of rotator cuff tears on non-invasive imaging remain a clinically important problem. Recent data have shown that a substantial proportion of tears — particularly subscapularis tears and partial-thickness lesions — are overlooked on MRI and ultrasonography (US). Whether one modality systematically misses more tears than the other in contemporary practice is unclear. The objective of this study was to evaluate MRI and US in terms of missed diagnoses (false-negative rate) and overall diagnostic accuracy for rotator cuff injury, through a systematic review and meta-analysis of studies published in the last 10 years (January 2015 – December 2025). A comprehensive literature search was performed in PubMed/MEDLINE, Scopus, Web of Science, and the Cochrane Library on the main concepts of rotator cuff tear, MRI (including conventional MRI and MR arthrography), US, and diagnostic accuracy. Inclusion criteria consisted of original research studies that assessed the diagnostic accuracy of MRI and/or US (index tests) for the diagnosis of rotator cuff tear using surgical findings (arthroscopy or open surgery) as the reference standard. The QUADAS-2 tool was used to assess methodologic quality. Meta-analyses were performed to compare MRI and US in the diagnosis of any rotator cuff tear, full-thickness tears, partial-thickness tears, and subscapularis tears. Between-study variation was analyzed using the Cochran Q test and I² statistic. Twelve studies satisfied inclusion and exclusion criteria (MRI, n = 7; US, n = 6; both modalities in the same patients, n = 3), consisting of 2,253 total patients and 2,417 total shoulders. For any rotator cuff tear, MRI showed a pooled sensitivity of 0.91 (95% CI, 0.87–0.94) and specificity of 0.89 (95% CI, 0.85–0.92); US showed a pooled sensitivity of 0.87 (95% CI, 0.82–0.91) and specificity of 0.91 (95% CI, 0.86–0.94). For full-thickness tears, sensitivity was 0.93 (95% CI, 0.90–0.95) for MRI and 0.91 (95% CI, 0.88–0.94) for US (p = 0.42). Diagnostic performance dropped for partial-thickness tears (sensitivity: MRI 0.70 [95% CI, 0.62–0.78]; US 0.65 [95% CI, 0.54–0.75]) and for subscapularis tears (sensitivity: MRI 0.56 [95% CI, 0.44–0.68]; US 0.30 [95% CI, 0.18–0.46]). Heterogeneity across studies was moderate to high (I² = 48%–75%). Corresponding miss rates were: full-thickness tear 7% (MRI) vs 9% (US); partial-thickness tear 30% vs 35%; subscapularis tear 44% vs 70%. MRI and US show comparable accuracy for full-thickness rotator cuff tears in studies published in the last 10 years, and either modality can be considered a first-line imaging option in that clinical setting. Both modalities, however, miss a clinically meaningful proportion of partial-thickness and subscapularis tears, with higher miss rates on US. When the subscapularis or a small partial tear is clinically suspected, MRI (or MR arthrography) may reduce missed diagnoses. This review quantifies the contemporary risk of missed diagnoses on MRI and US, supports shared decision-making between clinicians and patients when selecting an initial imaging modality, and identifies the subscapularis tendon and partial-thickness articular-surface tears as priorities for reader training and protocol optimization.
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References
Apostolopoulos AP, Angelis S, Yallapragada RK, et al. The sensitivity of magnetic resonance imaging and ultrasonography in detecting rotator cuff tears. Cureus 2019; 11:e4581.
Cole B, Twibill K, Lam P, Hackett L, Murrell G. Not all ultrasounds are created equal: general sonography vs. musculoskeletal sonography in the detection of rotator cuff tears. Shoulder Elbow 2016; 8:250–257.
de Jesus JO, Parker L, Frangos AJ, Nazarian LN. Accuracy of MRI, MR arthrography, and ultrasound in the diagnosis of rotator cuff tears: a meta-analysis. AJR Am J Roentgenol 2009; 192:1701–1707.
Elmorsy A, Keightley A, Flannery M. Accuracy of ultrasonography (US) and magnetic resonance imaging (MRI) in detection of rotator cuff tears in district general hospital. Pol J Radiol 2017; 82:634–637.
Farooqi AS, Lee A, Novikov D, et al. Diagnostic accuracy of ultrasonography for rotator cuff tears: a systematic review and meta-analysis. Orthop J Sports Med 2021; 9:23259671211035106.
Gilat R, Atoun E, Cohen O, et al. Recurrent rotator cuff tear: is ultrasound imaging reliable? J Shoulder Elbow Surg 2018; 27:1263–1267.
Guo LP, Wang WM, Wang YH, et al. Ultrasound in assessment of supraspinatus tendon injury: correlation with arthroscopy. Chin Med J (Engl) 2016; 129:361–363.
Gyftopoulos S, Cardoso MDS, Rodrigues TC, et al. ACR Appropriateness Criteria® Shoulder Pain—Atraumatic. J Am Coll Radiol 2018; 15(11S):S388–S402.
Gyftopoulos S, Da Silva Cardoso M, Cantarelli Rodrigues T, Qian K, Chang CY. Postoperative imaging of the rotator cuff: a systematic review and meta-analysis. AJR Am J Roentgenol 2022; 219:717–723.
Jeong JY, Kim SK, Kim JH, et al. Deep-learning–based automated rotator cuff tear screening in three planes of shoulder MRI. Diagnostics (Basel) 2023; 13:3254.
Kong CG, Kim YY, Park JB, et al. High-frequency ultrasound for rotator cuff tear: comparison with magnetic resonance imaging. J Shoulder Elbow Surg 2019; 28:755–762.
Kurz AZ, Kelly MJ, Hackett L, Murrell GAC. Effect of surgeon-sonographer interaction on ultrasound diagnosis of rotator cuff tears: a five-year cohort study in 775 shoulders. J Shoulder Elbow Surg 2016; 25:1385–1394.
Lenza M, Buchbinder R, Takwoingi Y, Johnston RV, Hanchard NC, Faloppa F. Magnetic resonance imaging, magnetic resonance arthrography and ultrasonography for assessing rotator cuff tears in people with shoulder pain for whom surgery is being considered. Cochrane Database Syst Rev 2013; (9):CD009020.
Liu F, Dong J, Shen WJ, et al. Detecting rotator cuff tears: a network meta-analysis of 144 diagnostic studies. Orthop J Sports Med 2020; 8:2325967119900356.
Madhavi P, Patil P. Diagnostic accuracy of USG and MRI for the detection of rotator cuff injury. Cureus 2024; 16:e68199.
Malavolta EA, Assunção JH, Andrade-Silva FB, Gracitelli MEC, Neto AAF, Ferreira Neto AA. Both radiologists and surgeons miss a substantial number of subscapularis tears on magnetic resonance imaging examination prior to shoulder arthroscopy. Arthrosc Sports Med Rehabil 2023; 5:e1011–e1020.
Mohtasib RS, Alzahrani AM, Asiri YN, Rayes ZF, Alshaalan MA. Accuracy of shoulder ultrasound examination for diagnosis of rotator cuff pathologies: a single-center retrospective study. Ann Saudi Med 2019; 39:162–171.
Narasimhan R, Shamse K, Nash C, Dhingra D, Kennedy S. Prevalence of subscapularis tears and accuracy of shoulder ultrasound in pre-operative diagnosis. Int Orthop 2016; 40:975–979.
Okoroha KR, Fidai MS, Tramer JS, Davis KD, Kolowich PA. Diagnostic accuracy of ultrasound for rotator cuff tears. Ultrasonography 2019; 38:215–220.
Page MJ, McKenzie JE, Bossuyt PM, et al. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ 2021; 372:n71.
Roy JS, Braën C, Leblond J, et al. 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 2015; 49:1316–1328.
Sabharwal S, Patel NK, Griffiths D, Athanasiou T, Gupte CM, Reilly P. High-resolution ultrasonography in the detection of rotator cuff tears: a prospective comparison with MRI and arthroscopic findings. J Clin Orthop Trauma 2019; 10(Suppl 1):S129–S135.
Saraya S, El Bakry R. Ultrasound: can it replace MRI in the evaluation of the rotator cuff tears? Egypt J Radiol Nucl Med 2016; 47:193–201.
Toh RKC, Lie DTT, Tan BHM, et al. Ultrasound versus magnetic resonance imaging as first-line imaging strategies for rotator cuff pathologies: a comprehensive analysis of clinical practices, economic efficiency, and future perspectives. Cureus 2024; 16:e59000.
Whiting PF, Rutjes AWS, Westwood ME, et al. QUADAS-2: a revised tool for the quality assessment of diagnostic accuracy studies. Ann Intern Med 2011; 155:529–536.