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Dataset Information

Correlation of CT-based radiomics analysis with pathological cellular infiltration in fibrosing interstitial lung diseases.


ABSTRACT:

Purpose

We aimed to identify computed tomography (CT) radiomics features that are associated with cellular infiltration and construct CT radiomics models predictive of cellular infiltration in patients with fibrotic ILD.

Materials and methods

CT images of patients with ILD who underwent surgical lung biopsy (SLB) were analyzed. Radiomics features were extracted using artificial intelligence-based software and PyRadiomics. We constructed a model predicting cell counts in histological specimens, and another model predicting two classifications of higher or lower cellularity. We tested these models using external validation.

Results

Overall, 100 patients (mean age: 62 ± 8.9 [standard deviation] years; 61 men) were included. The CT radiomics model used to predict cell cou

SUBMITTER: Haga A 

PROVIDER: S-EPMC11442537 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature