Deep Learning-Based Computer-Aided Diagnosis in Coronary Artery Calcium-Scoring CT for Pulmonary Nodule Detection: A Preliminary Study.

ABSTRACT:

Purpose

To evaluate the feasibility and utility of deep learning-based computer-aided diagnosis (DL-CAD) for the detection of pulmonary nodules on coronary artery calcium (CAC)-scoring computed tomography (CT).

Materials and methods

This retrospective study included 273 patients (aged 63.9±13.2 years; 129 men) who underwent CAC-scoring CT. A DL-CAD system based on thin-section images was used for pulmonary nodule detection, and two independent junior readers reviewed the standard CAC-scoring CT scans with and without referencing DL-CAD results. A reference standard was established through the consensus of two experienced radiologists. Sensitivity, positive predictive value, and F1-score were assessed on a per-nodule and per-patient basis. The patients' medical records were m

SUBMITTER: Lee SY 

PROVIDER: S-EPMC11955396 | biostudies-literature | 2025 Apr

REPOSITORIES: biostudies-literature