Correction: Diagnosis of SLAP lesions on shoulder MRI using a 2.5D deep learning and ensemble learning framework - Report - MDSpire

Correction: Diagnosis of SLAP lesions on shoulder MRI using a 2.5D deep learning and ensemble learning framework

  • By

  • Hongyu Wang

  • Qingyun Xue

  • Lei Shi

  • Fei Wang

  • Guanghan Gao

  • Lin Wang

  • June 17, 2026

  • 0 min

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Clinical Report: Correction on Diagnosis of SLAP Lesions on Shoulder MRI

Overview

This report addresses a correction regarding the MRI sequences used for diagnosing SLAP lesions. The updated protocol now includes both oblique coronal proton density-weighted fat-suppressed and oblique coronal T2-weighted fat-suppressed sequences.

Background

Accurate diagnosis of SLAP lesions is critical for effective management of shoulder pain, which is prevalent in the general population. MRI is the preferred imaging modality due to its high contrast and resolution for soft tissue pathologies. Understanding the correct imaging protocols is essential for improving diagnostic accuracy and patient outcomes.

Data Highlights

No numerical data or trial results were presented in the article.

Key Findings

  • The correction clarifies the MRI sequences used in the study.
  • Both oblique coronal proton density-weighted fat-suppressed and T2-weighted fat-suppressed sequences are now included in the analysis.
  • Standardized scanning protocols were employed across two 3.0 T MRI scanners.
  • Intra-articular structures were systematically examined by experienced orthopaedic surgeons.
  • A definitive diagnosis of SLAP lesions was made intraoperatively based on observed tears or detachments.

Clinical Implications

Clinicians should ensure that MRI protocols for diagnosing SLAP lesions are comprehensive and include the appropriate sequences to enhance diagnostic accuracy. This correction underscores the importance of precise imaging techniques in the evaluation of shoulder pathologies.

Conclusion

The correction to the MRI protocol enhances the clarity and accuracy of the diagnostic process for SLAP lesions. Adhering to updated imaging standards is vital for optimal patient care.

Related Resources & Content

  1. Wang H, Xue Q, Shi L, Wang F, Gao G, Wang L, Front. Surg, 2026 -- Correction: Utilizing a 2.5D Deep Learning and Ensemble Learning Approach for the Diagnosis of SLAP Lesions on Shoulder MRI
  2. European Radiology — Assessment of a deep learning approach for noise reduction and image enhancement in shoulder MRI for patients experiencing shoulder pain
  3. European Radiology — Classification of Lumbar Central Canal Stenosis Using AI on Sagittal MRI Matches the Accuracy of Experienced Radiologists Analyzing Axial Images
  4. European Radiology — Comparison of Deep Learning Techniques and Traditional MRI for Identifying Labral and Cartilage Abnormalities in the Hip, with Arthroscopy as the Reference Standard
  5. European Radiology — Enhanced Performance of Resident Radiologists in Knee MRI Interpretation Through Comprehensive Deep Learning Analysis of Multiple Conditions
  6. ACR Appropriateness Criteria (Acute Shoulder Pain; 2024 update)
  7. Biceps Tenodesis and SLAP Repair Show Similar Outcomes in Overhead Throwing Athletes With Baseball Pitchers Exhibiting Worse Rates of Return to Sport: A Systematic Review - Lack - 2025 - Arthroscopy - Wiley Online Library

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