SMaRT Assessment Tool: An Innovative Approach for Objective Assessment of Flap Designs

The teaching and assessment of ideal surgical markings for local flaps required for optimal aesthetic and functional outcomes remain a challenge in the present era of competency-based surgical education. The authors utilized the bilobed flap for nasal reconstruction as a proof of concept for the development of an innovative objective assessment tool based on statistical shape analysis, with a focus on providing automated, evidence-based, objective, specific, and practical feedback to the learner. The proposed tool is based on Procrustes statistical shape analysis, previously used for the assessment of facial asymmetry in plastic surgery. For performance boundary testing, a series of optimal and suboptimal designs generated in deliberate violation of the established ideals of optimal bilobed flap design were evaluated, and a four-component feedback score of Scale, Mismatch, Rotation, and Translation (SMaRT) was generated. The SMaRT assessment tool demonstrated the capacity to proportionally score a spectrum of designs (n = 36) ranging from subtle to significant variations of optimal, with excellent computational and clinically reasonable performance boundaries. In terms of shape mismatch, changes in SMaRT score also correlated with intended violations in designs away from the ideal flap design. This innovative educational approach could aid in incorporating objective feedback in simulation-based platforms in order to facilitate deliberate practice in flap design, with the potential for adoption in other fields of plastic surgery to automate assessment processes.

Automated summary

The study developed an innovative objective assessment tool based on statistical shape analysis for evaluating the optimal design of bilobed flaps, providing more accurate and practical feedback for surgical learners. Through testing a series of designs, the tool demonstrated excellent performance boundaries in evaluating flap designs.