Correction: Diagnosis of SLAP lesions on shoulder MRI using a 2.5D deep learning and ensemble learning framework - Scorecard - 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 Scorecard: Correction: Utilizing a 2.5D Deep Learning and Ensemble Learning Approach for the Diagnosis of SLAP Lesions on Shoulder MRI

At a Glance

CategoryDetail
ConditionSLAP Lesions
Key MechanismsDiagnosis using MRI sequences and deep learning techniques
Target PopulationPatients undergoing shoulder MRI for suspected SLAP lesions
Care SettingOrthopaedic surgical settings

Key Highlights

  • Correction made to MRI sequence descriptions
  • Inclusion of both PD FS and T2WI FS sequences in the study
  • Standardised non-contrast shoulder MRI performed on 3.0 T MRI scanners
  • Intra-articular structures assessed during arthroscopic procedures
  • Definitive diagnosis made intraoperatively based on observed lesions

Guideline-Based Recommendations

Diagnosis

  • Utilize oblique coronal PD FS and T2WI FS sequences for accurate diagnosis of SLAP lesions

Management

  • Perform arthroscopic examination to confirm SLAP lesions and assess associated rotator cuff pathology

Monitoring & Follow-up

    Risks

      Patient & Prescribing Data

      Patients with suspected SLAP lesions

      Intraoperative assessment is critical for definitive diagnosis

      Clinical Best Practices

      • Use standardised MRI protocols for shoulder imaging
      • Employ experienced orthopaedic surgeons for arthroscopic evaluations

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