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Lung CT Segmentation to Identify Consolidations and Ground Glass Areas for Quantitative Assesment of SARS-CoV Pneumonia

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Pixel-Wise Interstitial Lung Disease Interval Change Analysis: A Quantitative Evaluation Method for Chest Radiographs

Subin Park¹, Jong Hee Kim², Jung Han Woo²

¹Department of Health Sciences es and Technology, SAIHST, Sungkyunkwan University, Seoul 06351, Republic of Korea.

Bioengineering (Basel, Switzerland)

|June 27, 2024

Summary

This summary is machine-generated.

A new quantitative method using chest X-rays accurately detects interstitial lung disease (ILD) and monitors its progression. This approach offers objective disease assessment, improving patient management and early intervention strategies for ILD.

Keywords:

extent analysis image-to-image translation interstitial lung disease interval change analysis quantification weakly supervised learning

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Area of Science:

Radiology
Artificial Intelligence
Pulmonology

Background:

Interstitial lung disease (ILD) involves progressive pathological changes necessitating accurate diagnosis.
Early detection and progression assessment are crucial for effective ILD management.
Conventional visual assessments of ILD can be subjective.

Purpose of the Study:

To introduce a novel quantitative evaluation method for analyzing pixel-wise changes in ILD using chest radiographs.
To develop a precise and objective tool for quantifying ILD progression.
To enhance the monitoring and management of interstitial lung disease.

Main Methods:

Utilized a weakly supervised learning framework.
Incorporated the contrastive unpaired translation model.
Developed a new ILD extent scoring algorithm for quantitative analysis of chest radiographs.

Main Results:

The ILD extent score achieved 92.98% accuracy in classifying between ILD and normal cases.
Disease progression was assessed with 85.29% accuracy using an ILD follow-up dataset.
The quantitative method demonstrated reliability for ILD monitoring.

Conclusions:

The proposed quantitative method provides a reliable tool for ILD monitoring.
The ILD extent score offers more precise and objective quantification of disease changes compared to visual assessments.
This novel approach has the potential to improve the management of interstitial lung disease.