Reconfiguring robotic surgery in head and neck practice: transition from multi-port to single-port with early clinical outcomes - Scorecard - MDSpire

Reconfiguring robotic surgery in head and neck practice: transition from multi-port to single-port with early clinical outcomes

  • By

  • Shih-Wei Chen

  • Ying-Lyung Hsiao

  • Chang-Yo Pan

  • Chuck Lin

  • Frank Cheau-Feng Lin

  • Mei-Wen Nian

  • Stella Chin-Shaw Tsai

  • July 10, 2026

  • 0 min

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Clinical Scorecard: Transforming Robotic Surgical Techniques in Head and Neck Procedures: A Shift from Multi-Port to Single-Port Approaches and Initial Clinical Results

At a Glance

CategoryDetail
ConditionRobotic Head and Neck Surgery
Key MechanismsIntegration of da Vinci single-port platform for improved surgical access and maneuverability.
Target PopulationPatients undergoing head and neck procedures, including malignant and benign lesions.
Care SettingHigh-volume head and neck surgical program.

Key Highlights

  • 64 robotic head and neck procedures performed using the da Vinci SP system.
  • Majority of cases (65.6%) utilized transoral access.
  • Surgeon 1 treated a higher proportion of malignant cases compared to Surgeon 2.
  • Cumulative accrual curves indicated parallel progression for benign and malignant cases.
  • Stable patterns of case selection and surgical approaches observed over time.

Guideline-Based Recommendations

Diagnosis

  • Retrospective evaluation of surgical cases to assess integration of SP platform.

Management

  • Utilization of both multi-port and single-port robotic systems based on clinical discretion.

Monitoring & Follow-up

  • Continuous assessment of case accrual and surgical outcomes during implementation.

Risks

  • Potential for longer hospital stays initially observed in early cases.

Patient & Prescribing Data

Patients with head and neck malignancies, benign lesions, and obstructive sleep apnea.

Adoption of single-port techniques expanded across both oncologic and benign indications.

Clinical Best Practices

  • Structured institutional learning curve for transitioning to single-port robotic surgery.
  • Assessment of patient anatomy and tumor characteristics for surgical platform selection.

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