Development and validation of a prediction model for the diagnosis of breast cancer based on clinical and ultrasonic features.

ABSTRACT:

Background

The aim of this study was to develop a simple and effective prediction model for calculating the probability of breast cancer by selecting clinical and sonographic features associated with breast cancer.

Methods

A total of 402 lesions from 304 adult females from the ultrasound department of of PLA General Hospital from March 1^st, 2020 to April 1^st, 2021, were prospectively collected as the development group. The validation group included 121 lesions from 98 patients in our physical examination center from April 1^st, 2021 to March 1^st, 2022. Least absolute shrinkage and selection operator (LASSO) was applied to select clinical and ultrasonic variables, and R language was applied to build a web version of the interactive d

SUBMITTER: He X 

PROVIDER: S-EPMC10333767 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature