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04:44
Imaging Features of Systemic Sclerosis-Associated Interstitial Lung Disease
Published on: June 16, 2020
Quantitative computed tomography imaging of interstitial lung diseases
Brian J Bartholmai1, Sushravya Raghunath, Ronald A Karwoski
1Department of Radiology, Biomedical Statistics and Informatics, Mayo Clinic, Rochester, MN 55905, USA. bartholmai.brian@mayo.edu
Journal of Thoracic Imaging
|August 23, 2013
Summary
Quantitative high-resolution computed tomography (HRCT) analysis offers a reproducible method for assessing interstitial lung disease progression and aiding diagnosis. This technique shows potential as a significant biomarker for disease characterization and patient outcomes.
Area of Science:
- Pulmonary Medicine
- Radiology
- Medical Imaging Analysis
Background:
- High-resolution chest computed tomography (HRCT) is crucial for diagnosing interstitial lung diseases (ILDs).
- Assessing subtle changes in ILD volume and characteristics over time using HRCT can be challenging.
- Diagnostic accuracy is often influenced by the expertise of medical professionals.
Purpose of the Study:
- To explore the potential of quantitative analysis of thoracic HRCT for reproducible disease extent determination.
- To classify ILD abnormalities and automate the diagnostic process.
- To establish quantitative HRCT as a biomarker for ILD.
Main Methods:
- Utilized novel software employing histogram signatures for pulmonary parenchyma characterization.
- Analyzed retrospective clinical HRCT scans and Lung Tissue Research Consortium data.
- Compared quantitative results with physiological, pathological, and semiquantitative radiologist assessments.
Main Results:
- Quantitative HRCT analysis provided regional volumetric data for statistical and graphical representation.
- Results indicate that quantitative HRCT analysis can serve as a biomarker.
- Demonstrated physiological, pathological, and prognostic significance of quantitative HRCT findings.
Conclusions:
- Quantitative HRCT analysis holds promise for clinical practice in aiding diagnosis and prognosis stratification.
- This method can consistently determine disease progression or response to therapy.
- Further optimization and longitudinal studies are needed to validate quantitative HRCT techniques.
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