Performance of radiomics features in the quantification of idiopathic pulmonary fibrosis from HRCT

Massimo Attanasio, Albert Comelli, Alessandro Stefano, Alessandro Stefano, Giorgio Russo, Samuel Bignardi, Antonio Basile, Gianluca Sambataro, Albert Comelli, Sebastiano Emanuele Torrisi, Alfredo Gaetano Torcitto, Stefano Palmucci, Daniele Falsaperla, Viviana Benfante, Carlo Vancheri, Anthony Yezzi

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)

Abstract

Background: Our study assesses the diagnostic value of different features extracted from high resolution computed tomography (HRCT) images of patients with idiopathic pulmonary fibrosis. These features are investigated over a range of HRCT lung volume measurements (in Hounsfield Units) for which no prior study has yet been published. In particular, we provide a comparison of their diagnostic value at different Hounsfield Unit (HU) thresholds, including corresponding pulmonary functional tests. Methods: We consider thirty-two patients retrospectively for whom both HRCT examinations and spirometry tests were available. First, we analyse the HRCT histogram to extract quantitative lung fibrosis features. Next, we evaluate the relationship between pulmonary function and the HRCT features at selected HU thresholds, namely -200 HU, 0 HU, and +200 HU. We model the relationship using a Poisson approximation to identify the measure with the highest log-likelihood. Results: Our Poisson models reveal no difference at the -200 and 0 HU thresholds. However, inferential conclusions change at the +200 HU threshold. Among the HRCT features considered, the percentage of normally attenuated lung at -200 HU shows the most significant diagnostic utility. Conclusions: The percentage of normally attenuated lung can be used together with qualitative HRCT assessment and pulmonary function tests to enhance the idiopathic pulmonary fibrosis (IPF) diagnostic process.
Original languageEnglish
Pages (from-to)306-
Number of pages12
JournalDiagnostics
Volume10
Publication statusPublished - 2020

All Science Journal Classification (ASJC) codes

  • Clinical Biochemistry

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