Identifying predictive morphologic features of XXXX .

@entity1 @entity75 @entity5 @entity1066 @entity393
OBJECTIVE: To determine features of @entity75 most predictive of @entity5 , and to design a key to assist general practitioners in the triaging of such lesions. DESIGN: Prospective observational study. SETTING: Department of Ophthalmology at Queen   s University in Kingston, Ont. @entity1 : A total of 199 consecutive periocular lesions requiring biopsy or excision were included. MAIN OUTCOME MEASURES: First, potential features suggestive of @entity5 for @entity75 were identified based on a survey sent to Canadian oculoplastic surgeons. The sensitivity, specificity, and odds ratios (ORs) of these features were then determined using 199 consecutive photographed @entity75 of @entity1 who presented to the Department of Ophthalmology and underwent biopsy or excision. A triage key was then created based on the features with the highest ORs, and it was pilot-tested by a group of medical students. RESULTS: Of the 199 lesions included, 161 (80.9%) were benign and 38 (19.1%) were malignant. The 3 features with the highest ORs in predicting @entity5 were infiltration (OR = 18.2, P < .01), @entity1066 (OR = 14.7, P < .01), and @entity393 (OR = 6.0, P < .01). The acronym LUI ( @entity393 , @entity1066 , infiltration) was created to assist in memory recall. After watching a video describing the LUI triage key, the mean total score of a group of medical students for correctly identifying malignant lesions increased from 46% to 70% (P < .001). CONCLUSION: Differentiating benign from malignant @entity75 can be difficult even for experienced physicians. The LUI triage key provides physicians with an evidence-based, easy-to-remember system for assisting in the triaging of these lesions.
