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

Silvia Laura Bosello, Gianfranco Ferraccioli, Fausto Salaffi, Marina Carotti, Alessandro Ciapetti, Marwin Gutierrez, Elisabetta Bichisecchi, Gianmarco Giuseppetti

Research output: Contribution to journalArticle

30 Citations (Scopus)

Abstract

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.
Original languageEnglish
Pages (from-to)834262-834262
Number of pages1
JournalBioMed Research International
Volume2015
DOIs
Publication statusPublished - 2015
Externally publishedYes

Keywords

  • Systemic Sclerosis

Fingerprint

Dive into the research topics of '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'. Together they form a unique fingerprint.

Cite this