title: Histologic features predictive of basal cell carcinoma recurrence: results of a multivariate analysis.
abstract: Previous univariate analysis of 30 recurrent and 74 non-recurrent basal cell carcinomas identified 6 histologic parameters predictive of recurrence: distance to the closest resection margin, growth pattern, shape of cell groups, contour of invading edge, degree of peripheral palisading, and nuclear pleomorphism. Re-analysis of the data by multivariate analysis to select the few most important independent prognostic variables identified two parameters in each of two final models: resection margin distance and growth pattern (Model 1), and resection margin distance and shape of cell groups (Model 2). Based on these variables, a logistic regression equation could be derived for each model to calculate the predicted probability of recurrence or non-recurrence.
authors.affiliation: Department of Pathology and Oncology, University of Kansas Medical Center, Kansas City.
authors.forename: A Y
authors.initials: AY
authors.lastname: Dixon
authors.forename: S H
authors.initials: SH
authors.lastname: Lee
authors.forename: D H
authors.initials: DH
authors.lastname: McGregor
mesh_terms: D002280:Basal Cell Carcinoma / Q000473:pathology*; D006801:Humans; D008954:Models, Biological; D015999:Multivariate Analysis; D009364:Neoplasm Recurrence, Local / Q000473:pathology*; D011237:Predictive Value of Tests; D011379:Prognosis; D012878:Skin Neoplasms / Q000473:pathology*