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Updated: Dec 20, 2025

Lung CT Segmentation to Identify Consolidations and Ground Glass Areas for Quantitative Assesment of SARS-CoV Pneumonia
Published on: December 19, 2020
Quantitative computed tomography detects interstitial lung diseases proven by biopsy.
Alarico Ariani1, Andrea Imperatori2, Massimo Castiglioni2
1Department of Medicine, Internal Medicine and Rheumatology Unit, Azienda Ospedaliero-Universitaria di Parma, Parma, Italy.
Quantitative chest CT (QCT) effectively assesses pulmonary fibrosis in interstitial lung disease (ILD). QCT findings align with biopsy results, showing its utility in diagnosing ILD.
Area of Science:
- Pulmonary Medicine
- Radiology
- Pathology
Background:
- Quantitative chest CT (QCT) shows promise for assessing interstitial lung disease (ILD).
- The correlation between QCT parameters and lung tissue fibrosis requires further investigation.
- This study aimed to compare QCT findings with histopathology in ILD patients.
Purpose of the Study:
- To compare QCT parameters with histopathological features in ILD patients.
- To determine if QCT assessment is consistent in patients with and without biopsy-proven ILD.
- To validate QCT as a tool for assessing pulmonary fibrosis.
Main Methods:
- Twenty ILD patients undergoing chest CT and lung biopsy were analyzed.
- Patients were categorized into biopsy-proven idiopathic pulmonary fibrosis (bIPF) and sarcoidosis (bSarc) groups.
- A control group of 20 patients with a radiological diagnosis of IPF (rIPF) was included for comparison.
Main Results:
- No significant differences in gender, smoking habits, or spirometry were found between groups.
- The rIPF group was older than the bIPF and bSarc groups (p<0.001).
- QCT parameters differed significantly between bIPF and bSarc (p<0.01) but were comparable between bIPF and rIPF.
Conclusions:
- QCT parameters are consistent for the same ILD type, whether diagnosed via biopsy or CT alone.
- These findings support QCT's capability to detect pulmonary fibrosis.
- QCT is a valuable and effective tool for assessing ILD.
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