Prediction of Anthracofibrosis Based on Clinico-Radiographic Findings.

ABSTRACT:

Purpose

Because anthracofibrosis (AF) is associated with tuberculosis (TB), detection of AF is clinically relevant in Korea, a TB endemic region. We thus sought to develop and validate a predictive model for AF using clinical radiographic data.

Materials and methods

Between January 1, 2008 and March 31, 2014, 3849 adult patients who underwent bronchoscopies were retrospectively included from an observational registry. We dichotomized patients based on the presence (n=167) or absence (n=242) of AF. After analyzing their clinico-radiographic characteristics, a logistic prediction model was developed. An area under the curve (AUC) was drawn using the weighted score in logistic regression model. To evaluate the degree of overfitting of the predictive model, a 5-fold cross-valida

SUBMITTER: Park TY 

PROVIDER: S-EPMC5290015 | biostudies-literature | 2017 Mar

REPOSITORIES: biostudies-literature