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Updated: Apr 28, 2026

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Robotic microsurgical training and evaluation.

Jesse C Selber1, Taiba Alrasheed1

  • 1Department of Plastic Surgery, University of Texas, MD Anderson Cancer Center, Houston, Texas.

Seminars in Plastic Surgery
|May 30, 2014
PubMed
Summary
This summary is machine-generated.

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A new tool, the Structured Assessment of Robotic Microsurgical Skills (SARMS), effectively validated robotic microsurgery skills. Participants showed significant improvement in robotic-assisted microvascular anastomosis proficiency and reduced operative times over five sessions.

Area of Science:

  • Microsurgery
  • Robotic Surgery
  • Surgical Skill Assessment

Background:

  • Robotic surgery is increasingly adopted across surgical subspecialties.
  • Clinical applications in plastic surgery, particularly robotic-assisted microvascular anastomosis, are emerging.
  • Objective assessment tools are needed to evaluate proficiency in this new domain.

Purpose of the Study:

  • To validate the Structured Assessment of Robotic Microsurgical Skills (SARMS) instrument.
  • To measure and analyze the learning curve for robotic-assisted microvascular anastomoses.

Main Methods:

  • Validated the SARMS instrument by combining the Structured Assessment of Microsurgical Skills (SAMS) with robotic surgery domains.
  • Assessed interrater reliability among four expert, blinded evaluators, yielding excellent results.
Keywords:
robotic microsurgeryrobotic skills assessmentsurgical evaluationsurgical skills assessmentsurgical training

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  • Recorded, deidentified, and scored five robotic microanastomoses performed by ten participants to plot learning curves.

    • Main Results:

    • The SARMS instrument demonstrated excellent interrater reliability across all skill areas.
    • All participants showed significant improvement in all skill areas and overall performance over five sessions.
    • Operative times consistently decreased for all participants, indicating enhanced efficiency.

    Conclusions:

    • The SARMS instrument is a reliable tool for assessing robotic microsurgical skills.
    • Robotic-assisted microvascular anastomosis demonstrates a clear learning curve with significant skill acquisition and efficiency gains over a short period.
    • Proficiency can be achieved by surgeons across all training levels within five sessions.