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RESEARCH PRODUCT
Performance of Radiomics Features in the Quantification of Idiopathic Pulmonary Fibrosis from HRCT.
Samuel BignardiMauro GioèGiorgio Ivan RussoGianluca SambataroAlessandro StefanoStefano PalmucciAnthony YezziAntonio BasileAlfredo Gaetano TorcittoAlbert ComelliCarlo VancheriDaniele FalsaperlaViviana BenfanteMassimo AttanasioSebastiano Emanuele Torrisisubject
Spirometrymusculoskeletal diseasesHigh-resolution computed tomographyhigh resolution computed tomographyClinical Biochemistry-Article030218 nuclear medicine & medical imagingPulmonary function testing03 medical and health sciencesIdiopathic pulmonary fibrosis0302 clinical medicineRadiomicsHounsfield scalemedicineSettore ING-INF/05 - Sistemi Di Elaborazione Delle Informazionilcsh:R5-920Lungmedicine.diagnostic_testbusiness.industryLung fibrosisrespiratory systemmedicine.diseaseidiopathic pulmonary fibrosisrespiratory tract diseasesmedicine.anatomical_structure030228 respiratory systemradiomicslcsh:Medicine (General)businessNuclear medicinedescription
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 &minus
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2020-05-15 | Diagnostics (Basel, Switzerland) |