Computer-Aided Quantification of Interstitial Lung Disease from High Resolution Computed Tomography Images in Systemic Sclerosis: Correlation with Visual Reader-Based Score and Physiologic Tests
| Autor: | Alessandro Ciapetti, Gianfranco Ferraccioli, Elisabetta Bichisecchi, Fausto Salaffi, G M Giuseppetti, Silvia Laura Bosello, Marwin Gutierrez, Marina Carotti |
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| Rok vydání: | 2015 |
| Předmět: |
Male
High-resolution computed tomography Vital capacity medicine.medical_specialty Article Subject lcsh:Medicine General Biochemistry Genetics and Molecular Biology Pulmonary function testing FEV1/FVC ratio DLCO medicine Humans Scleroderma Systemic Lung General Immunology and Microbiology medicine.diagnostic_test Receiver operating characteristic business.industry lcsh:R Interstitial lung disease General Medicine respiratory system Middle Aged medicine.disease respiratory tract diseases Respiratory Function Tests medicine.anatomical_structure ROC Curve Feasibility Studies Radiographic Image Interpretation Computer-Assisted Regression Analysis Female Radiology Lung Diseases Interstitial Tomography X-Ray Computed business Research Article |
| Zdroj: | BioMed Research International BioMed Research International, Vol 2015 (2015) |
| ISSN: | 2314-6141 2314-6133 |
| Popis: | Objective.To evaluate the performance of a computerized-aided method (CaM) for quantification of interstitial lung disease (ILD) in patients with systemic sclerosis and to determine its correlation with the conventional visual reader-based score (CoVR) and the pulmonary function tests (PFTs).Methods.Seventy-nine patients were enrolled. All patients underwent chest high resolution computed tomography (HRCT) scored by two radiologists adopting the CoVR. All HRCT images were then analysed by a CaM using a DICOM software. The relationships among the lung segmentation analysis, the readers, and the PFTs results were calculated using linear regression analysis and Pearson’s correlation. Receiver operating curve analysis was performed for determination of CaM extent threshold.Results.A strong correlation between CaM and CoVR was observed (P<0.0001). The CaM showed a significant negative correlation with forced vital capacity (FVC) (P<0.0001) and the single breath carbon monoxide diffusing capacity of the lung (DLco) (P<0.0001). A CaM optimal extent threshold of 20% represented the best compromise between sensitivity (75.6%) and specificity (97.4%).Conclusions.CaM quantification of SSc-ILD can be useful in the assessment of extent of lung disease and may provide reliable tool in daily clinical practice and clinical trials. |
| Databáze: | OpenAIRE |
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