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Computed Tomography

Computed Tomography

Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
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Automated Midline Shift and Intracranial Pressure Estimation based on Brain CT Images

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Quantitative CT Imaging Features Associated with Stable PRISm using Machine Learning.

Leila Lukhumaidze¹, James C Hogg², Jean Bourbeau³

¹Toronto Metropolitan University, Toronto, ON, Canada (L.L., M.K.).

Academic Radiology

|August 27, 2024

Summary

This summary is machine-generated.

Stable preserved ratio impaired spirometry (PRISm) shows reduced lung volumes and increased ground glass/reticulation patterns on CT scans. These imaging features help classify PRISm from controls and COPD patients.

Keywords:

Fibrosis ILA PRISm Radiomic Texture Features

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Area of Science:

Pulmonary Medicine
Radiology
Artificial Intelligence in Healthcare

Background:

Preserved ratio impaired spirometry (PRISm) is a distinct phenotype.
The stable structural lung features characterizing PRISm over time are not well understood.

Purpose of the Study:

To classify stable PRISm from stable controls and stable COPD using machine learning and CT imaging.
To identify discriminative CT imaging features for stable PRISm.

Main Methods:

Utilized quantitative CT (QCT) and radiomic features from 596 participants (274 stable control, 22 stable PRISm, 300 stable COPD).
Trained logistic regression machine learning models with feature combinations (Base, Base+QCT, Base+Radiomic, Base+QCT+Radiomic).
Evaluated model performance using AUC and ranked feature importance.

Main Results:

Machine learning models achieved AUCs of 0.63-0.84 (PRISm vs. control) and 0.65-0.92 (PRISm vs. COPD).
Imaging-enhanced models significantly outperformed base models (p < 0.05).
Stable PRISm showed decreased total lung volume (%TLC_CT) and increased ground glass/reticulation (%GG+Reticulation_texture) and GLDZM_ZDV.

Conclusions:

Reduced lung volumes on CT imaging are associated with stable PRISm.
Elevated high-density and ground glass/reticulation patterns on CT are characteristic of stable PRISm.
CT imaging features can aid in the classification of stable PRISm.