High-resolution computed tomography with 1,024-matrix for artificial intelligence-based computer-aided diagnosis in the evaluation of pulmonary nodules.

ABSTRACT:

Background

Computed tomography (CT) plays an important role in the diagnosis of lung nodules and early screening of lung cancer. The purpose of this study was to compare the efficacy of 1,024×1,024 matrix and 512×512 matrix in an artificial intelligence-based computer-aided diagnosis (AI-CAD) for evaluating lung nodules based on CT images.

Methods

This retrospective analysis included 344 patients from two hospitals between January 2020 and November 2023. CT images presenting lung nodules smaller than 30 mm were reconstructed using the 512×512 and 1,024×1,024 matrix. We evaluated image quality and AI-CAD detection of lung nodules. Image quality was subjectively scored using a 5-point Likert method and objectively assessed using image noise and signal-to-noise ratio (SNR). For

SUBMITTER: Jiang Q 

PROVIDER: S-EPMC11833551 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature