Open AccessSurgical Skill Can be Objectively Measured From Fluoroscopic Images Using a Novel Image-based Decision Error Analysis (IDEA) Score
Author(s) -
Steven A. Long,
Geb Thomas,
Matthew D. Karam,
J. Lawrence Marsh,
Donald D. Anderson
Publication year - 2021
Publication title -
clinical orthopaedics and related research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.178
H-Index - 204
eISSN - 1528-1132
pISSN - 0009-921X
DOI - 10.1097/corr.0000000000001623
Subject(s) - medicine , fluoroscopy , metric (unit) , medical physics , artificial intelligence , simulation , surgery , computer science , operations management , economics
To advance orthopaedic surgical skills training and assessment, more rigorous and objective performance measures are needed. In hip fracture repair, the tip-apex distance is a commonly used summative performance metric with clear clinical relevance, but it does not capture the skill exercised during the process of achieving the final implant position. This study introduces and evaluates a novel Image-based Decision Error Analysis (IDEA) score that better captures performance during fluoroscopically-assisted wire navigation.