Objective <p>Ultrasound (US) is a more accessible alternative to MRI for rotator cuff tear (RCT) assessment. Rapid US can identify RCTs, but accurate US interpretation remains challenging, even for experts. We performed a retrospective cross-sectional study to evaluate intraobserver and interobserver agreement and accuracy in RCT detection with US between expert and non-expert readers.</p> Materials and methods <p>Long-axis cine sweeps of supraspinatus tendon from 138 patients with suspected RCTs were analyzed and compared to corresponding MRI results (reference standard). Three non-experts (graduate student, medical student, radiology resident) and three experts (fellowship-trained musculoskeletal (MSK) radiologist, MSK sonographer, and radiology fellow) independently classified tendons as normal, full-thickness tear, or partial-thickness tear by predefined criteria.</p> Results <p>For all-tear detection (ATD), expert accuracy (%) ranged from 68.8 (95% CI, 61.1–76.5) to 84.8% (78.8–90.9), and non-expert accuracy from 63.0 (54.9–71.1) to 79.7% (73.0–86.4). For full-thickness tear detection (FTTD), expert accuracy ranged from 75.4 (68.2–82.6) to 87.0% (81.4–92.6), and non-expert accuracy from 73.9 (66.6–81.2) to 79.0% (72.2–85.8). Interobserver agreement for ATD was moderate among experts (Light’s kappa (<InlineEquation ID="IEq1"> <EquationSource Format="TEX">\(\kappa \)</EquationSource> <EquationSource Format="MATHML"><math> <mi>κ</mi> </math></EquationSource> </InlineEquation>) = 0.42 (95% CI, 0.30–0.58)) and fair among non-experts (<InlineEquation ID="IEq2"> <EquationSource Format="TEX">\(\kappa \)</EquationSource> <EquationSource Format="MATHML"><math> <mi>κ</mi> </math></EquationSource> </InlineEquation> = 0.38 (0.32–0.50)). Intraobserver agreement was fair (<InlineEquation ID="IEq3"> <EquationSource Format="TEX">\(\kappa \)</EquationSource> <EquationSource Format="MATHML"><math> <mi>κ</mi> </math></EquationSource> </InlineEquation> = 0.35 (0.29–0.43)). Our experts achieved higher sensitivity, resulting in improved overall accuracy.</p> Conclusion <p>Ultrasound readers of all experience levels accurately identified over 80% of RCTs when compared with MRI. Expert readers achieved higher accuracy, sensitivity, and reliability than non-experts. Ultrasound reliably detects RCTs and remains the preferred imaging modality for its accessibility and patient comfort, underscoring the need for standardization, training, and technological improvements.</p>

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Evaluating diagnostic consistency: intra and interobserver agreement in rotator cuff tear classification using ultrasound videos

  • Shrimanti Ghosh,
  • Jessica Knight,
  • Stephanie Wichuk,
  • Natasha Akhlaq,
  • Daniel Durham,
  • Cassandra Gallant,
  • Steel McDonald,
  • Michael Xie,
  • Vedur Verma,
  • Vincent Man,
  • Abhilash R. Hareendranathan,
  • Jacob L. Jaremko

摘要

Objective

Ultrasound (US) is a more accessible alternative to MRI for rotator cuff tear (RCT) assessment. Rapid US can identify RCTs, but accurate US interpretation remains challenging, even for experts. We performed a retrospective cross-sectional study to evaluate intraobserver and interobserver agreement and accuracy in RCT detection with US between expert and non-expert readers.

Materials and methods

Long-axis cine sweeps of supraspinatus tendon from 138 patients with suspected RCTs were analyzed and compared to corresponding MRI results (reference standard). Three non-experts (graduate student, medical student, radiology resident) and three experts (fellowship-trained musculoskeletal (MSK) radiologist, MSK sonographer, and radiology fellow) independently classified tendons as normal, full-thickness tear, or partial-thickness tear by predefined criteria.

Results

For all-tear detection (ATD), expert accuracy (%) ranged from 68.8 (95% CI, 61.1–76.5) to 84.8% (78.8–90.9), and non-expert accuracy from 63.0 (54.9–71.1) to 79.7% (73.0–86.4). For full-thickness tear detection (FTTD), expert accuracy ranged from 75.4 (68.2–82.6) to 87.0% (81.4–92.6), and non-expert accuracy from 73.9 (66.6–81.2) to 79.0% (72.2–85.8). Interobserver agreement for ATD was moderate among experts (Light’s kappa ( \(\kappa \) κ ) = 0.42 (95% CI, 0.30–0.58)) and fair among non-experts ( \(\kappa \) κ = 0.38 (0.32–0.50)). Intraobserver agreement was fair ( \(\kappa \) κ = 0.35 (0.29–0.43)). Our experts achieved higher sensitivity, resulting in improved overall accuracy.

Conclusion

Ultrasound readers of all experience levels accurately identified over 80% of RCTs when compared with MRI. Expert readers achieved higher accuracy, sensitivity, and reliability than non-experts. Ultrasound reliably detects RCTs and remains the preferred imaging modality for its accessibility and patient comfort, underscoring the need for standardization, training, and technological improvements.