Perinodular Parenchymal Features Improve Indeterminate Lung Nodule Classification.

ABSTRACT:

Background

Radiomics, defined as quantitative features extracted from images, provide a non-invasive means of assessing malignant versus benign pulmonary nodules. In this study, we evaluate the consistency with which perinodular radiomics extracted from low-dose computed tomography images serve to identify malignant pulmonary nodules.

Materials and methods

Using the National Lung Screening Trial (NLST), we selected individuals with pulmonary nodules between 4mm to 20mm in diameter. Nodules were segmented to generate four distinct datasets; 1) a Tumor dataset containing tumor-specific features, 2) a 10 mm Band dataset containing parenchymal features between the segmented nodule boundary and 10mm out from the boundary, 3) a 15mm Band dataset, and 4) a Tumor Size dataset contai

SUBMITTER: Masquelin AH 

PROVIDER: S-EPMC9895123 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature