Comparison Between Radiological Semantic Features and Lung-RADS in Predicting Malignancy of Screen-Detected Lung Nodules in the National Lung Screening Trial.

ABSTRACT:

Rationale

Lung computed tomography (CT) Screening Reporting and Data System (lung-RADS) has standardized follow-up and management decisions in lung cancer screening. To date, little is known how lung-RADS classification compares with radiological semantic features in risk prediction and diagnostic discrimination.

Objectives

To compare the performance of radiological semantic features and lung-RADS in predicting nodule malignancy in lung cancer screening.

Methods

We used data and low-dose CT (LDCT) images from the National Lung Screening Trial (NLST). The training cohort contained 60 patients with screen-detected incident lung cancers who had a positive baseline screen (T0) that was not diagnosed and then was diagnosed at second follow-up (T2), and 139 nodule-positive

SUBMITTER: Li Q 

PROVIDER: S-EPMC5825260 | biostudies-literature | 2018 Mar

REPOSITORIES: biostudies-literature