Development and internal validation of a conventional ultrasound-based nomogram for predicting malignant nonmasslike breast lesions

ABSTRACT:

Background

The aim of this study was to develop a conventional ultrasound (US) features-based nomogram for the prediction of malignant nonmasslike (NML) breast lesions.

Methods

Consecutive cases of adult females diagnosed with NML breast lesions via US screening in our center from June 1st, 2017, to April 17th, 2020, were retrospectively enrolled. Candidate variables included age, clinical symptoms, and the image features obtained from the conventional US. Nomograms were developed based on the results of the multiple logistic regression analysis via R language. One thousand bootstraps were used for internal validation. The area under the curve (AUC) and the bias-corrected concordance index (C-index) were calculated. Decision curve analysis (DCA) was also performed for fu

SUBMITTER:  

PROVIDER: S-EPMC9703106 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature