Preoperative diagnosis of malignant pulmonary nodules in lung cancer screening with a radiomics nomogram.

ABSTRACT:

Background

Lung cancer is the most commonly diagnosed cancer worldwide. Its survival rate can be significantly improved by early screening. Biomarkers based on radiomics features have been found to provide important physiological information on tumors and considered as having the potential to be used in the early screening of lung cancer. In this study, we aim to establish a radiomics model and develop a tool to improve the discrimination between benign and malignant pulmonary nodules.

Methods

A retrospective study was conducted on 875 patients with benign or malignant pulmonary nodules who underwent computed tomography (CT) examinations between June 2013 and June 2018. We assigned 612 patients to a training cohort and 263 patients to a validation cohort. Radiomics features

SUBMITTER: Liu A 

PROVIDER: S-EPMC7163925 | biostudies-literature | 2020 Jan

REPOSITORIES: biostudies-literature