Automated diagnosis of usual interstitial pneumonia on chest CT via the mean curvature of isophotes.

ABSTRACT:

Purpose

To test whether the mean curvature of isophotes (MCI), a geometric image transformation, can be used to improve automatic detection on chest CT of Usual Interstitial Pneumonia (UIP), a determining radiological pattern in the diagnosis of Interstitial Lung Diseases (ILD).

Materials and methods

This retrospective study included chest CT scans from 234 patients (123 female,111 male; mean age: 61.6 years; age range: 18-90 years) obtained at two independent institutions between 2007 and 2024.Three different classification models were trained on the original CT images and separately on MCI-transformed CT images: (1) a previously published deep learning model for classifying fibrotic lung disease on chest CT, (2) a classification pipeline based on the EfficientNet-V2 convol

SUBMITTER: Savadjiev P 

PROVIDER: S-EPMC12818983 | biostudies-literature | 2026 Jun

REPOSITORIES: biostudies-literature