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04:44
Imaging Features of Systemic Sclerosis-Associated Interstitial Lung Disease
Published on: June 16, 2020
20.9K
Chest CT texture analysis for response assessment in systemic sclerosis.
C Kloth1, J Henes2, T Xenitidis2
1Department of Diagnostic and Interventional Radiology, University Hospital Ulm, Albert-Einstein-Allee 23, 89081 Ulm Germany.
European Journal of Radiology
|March 25, 2018
Summary
CT-textural features show promise in monitoring lung involvement in systemic sclerosis (SSc) patients post-autologous stem cell transplantation (SCT). These quantitative imaging markers complement traditional assessments, offering insights into therapy-induced pulmonary changes.
Area of Science:
- Radiology
- Pulmonary Medicine
- Immunology
Background:
- Systemic sclerosis (SSc) can lead to significant lung involvement.
- Autologous stem cell transplantation (SCT) is a therapeutic option for severe SSc.
- Monitoring pulmonary changes post-SCT is crucial for assessing treatment efficacy.
Purpose of the Study:
- To evaluate CT-textural features for monitoring lung involvement in SSc patients undergoing SCT.
- To compare CT-textural features with semi-quantitative chest CT, pulmonary function tests (PFT), and clinical parameters (mRSS).
Main Methods:
- Retrospective analysis of 23 SSc patients who underwent chest CTs before, and 6 and 12 months post-SCT.
- Response to therapy defined by >10% improvement in FVC and DLCOSB at 6 months.
- CT-texture analysis (CTTA) including mean, entropy, and uniformity was performed.
Main Results:
- PFT classified patients into responders (78%) and non-responders (22%).
- Responders showed significant improvement in mRSS and CTTA parameters at 6 and 12 months post-SCT.
- Non-responders exhibited increased fibrosis scores and distinct CTTA patterns at baseline.
Conclusions:
- CT-textural features correlate with visual CT evaluation of SSc-related lung abnormalities.
- CTTA provides complementary information on therapy-induced structural pulmonary changes post-SCT.
- Quantitative CT analysis aids in monitoring treatment response and disease progression in SSc lung involvement.
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