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Imaging Features of Systemic Sclerosis-Associated Interstitial Lung Disease

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Published on: June 16, 2020

Visual vs. computer-based computed tomography analysis for the identification of functional patterns in interstitial

Alexander J Procter¹, Joseph Jacob^2,3

¹Department of Radiology, University College Hospital.

Current Opinion in Pulmonary Medicine

|August 1, 2019

Summary

Quantitative CT (QCT) analysis using computer algorithms shows superior performance over visual CT analysis for predicting disease severity and progression in fibrosing lung diseases (FLDs). This imaging biomarker aids clinical decisions and drug trial enrichment.

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Area of Science:

Radiology
Pulmonary Medicine
Medical Imaging Analysis

Background:

Visual assessment of fibrosing lung diseases (FLDs) on CT scans has limitations in objectivity and reproducibility.
Quantitative CT (QCT) analysis offers potential advantages in speed, objectivity, and scalability for evaluating FLDs.

Purpose of the Study:

To compare the efficacy of quantitative CT (QCT) analysis with visual CT analysis in predicting functional status in FLDs.
To explore the role of QCT in prognostication and disease progression monitoring for FLDs.

Main Methods:

Review of the latest computer algorithms for quantitative CT (QCT) analysis.
Comparison of QCT analysis performance against visual CT analysis in predicting disease severity and changes in functional indices.
Identification of novel prognostic imaging biomarkers using computer algorithms.

Main Results:

Computer algorithms in QCT analysis demonstrate improved performance over visual CT analysis in predicting baseline disease severity.
QCT analysis shows better correlations with changes in functional indices on longitudinal CT scans, indicating its potential as an imaging biomarker for FLD progression.
Computer algorithms can identify prognostic imaging biomarkers not discernible through visual inspection, such as vessel-related structures.

Conclusions:

Quantitative CT (QCT) analysis holds significant promise for evaluating lung damage in fibrosing lung diseases (FLDs).
QCT aids clinical decision-making and can enrich drug trial populations by providing objective disease assessment.
Future challenges include addressing measurement noise from CT acquisition variations and developing user-friendly visualizations of quantitative data.