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A Convolutional Neural Network Approach to Quantify Lung Disease Progression in Patients with Fibrotic Hypersensitivity Pneumonitis (HP)
- Source :
- Academic Radiology. 29:e149-e156
- Publication Year :
- 2022
- Publisher :
- Elsevier BV, 2022.
-
Abstract
- Rationale and Objectives To evaluate associations between longitudinal changes of quantitative CT parameters and spirometry in patients with fibrotic hypersensitivity pneumonitis (HP). Materials and Methods Serial CT images and spirometric data were retrospectively collected in a group of 25 fibrotic HP patients. Quantitative CT analysis included histogram parameters (median, interquartile range, skewness, and kurtosis) and a pretrained convolutional neural network (CNN)-based textural analysis, aimed at quantifying the extent of consolidation (C), fibrosis (F), ground-glass opacity (GGO), low attenuation areas (LAA) and healthy tissue (H). Results At baseline, FVC was 61(44-70) %pred. The median follow-up period was 1.4(0.8-3.2) years, with 3(2-4) visits per patient. Over the study, 8 patients (32%) showed a FVC decline of more than 5%, a significant worsening of all histogram parameters (p≤0.015) and an increased extent of fibrosis via CNN (p=0.038). On histogram analysis, decreased skewness and kurtosis were the parameters most strongly associated with worsened FVC (respectively, r2=0.63 and r2=0.54, p
- Subjects :
- Spirometry
medicine.medical_specialty
Pulmonary function testing
FEV1/FVC ratio
Interquartile range
Fibrosis
Internal medicine
medicine
Humans
Radiology, Nuclear Medicine and imaging
In patient
Lung
Retrospective Studies
medicine.diagnostic_test
business.industry
medicine.disease
Respiratory Function Tests
Disease Progression
Kurtosis
Cardiology
Neural Networks, Computer
Tomography, X-Ray Computed
business
Hypersensitivity pneumonitis
Alveolitis, Extrinsic Allergic
Subjects
Details
- ISSN :
- 10766332
- Volume :
- 29
- Database :
- OpenAIRE
- Journal :
- Academic Radiology
- Accession number :
- edsair.doi.dedup.....f41f4ee7e07dcd3d017a0977efaf23d3