Recent advances of artificial intelligence applications in interstitial lung diseases
KP Exarchos, G Gkrepi, K Kostikas, A Gogali - Diagnostics, 2023 - mdpi.com
Interstitial lung diseases (ILDs) comprise a rather heterogeneous group of diseases varying
in pathophysiology, presentation, epidemiology, diagnosis, treatment and prognosis. Even …
in pathophysiology, presentation, epidemiology, diagnosis, treatment and prognosis. Even …
Interstitial lung abnormalities at CT in the Korean National Lung Cancer Screening Program: prevalence and deep learning–based texture analysis
KJ Chae, S Lim, JB Seo, HJ Hwang, H Choi, D Lynch… - Radiology, 2023 - pubs.rsna.org
Background Interstitial lung abnormalities (ILAs) are associated with worse clinical
outcomes, but ILA with lung cancer screening CT has not been quantitatively assessed …
outcomes, but ILA with lung cancer screening CT has not been quantitatively assessed …
Long-term follow-up of interstitial lung abnormality: implication in follow-up strategy and risk thresholds
Rationale: The optimal follow-up computed tomography (CT) interval for detecting the
progression of interstitial lung abnormality (ILA) is unknown. Objectives: To identify optimal …
progression of interstitial lung abnormality (ILA) is unknown. Objectives: To identify optimal …
CT Quantification of Interstitial Lung Abnormality and Interstitial Lung Disease: From Technical Challenges to Future Directions
Interstitial lung disease (ILD) encompasses a variety of lung disorders with varying degrees
of inflammation or fibrosis, requiring a combination of clinical, imaging, and pathologic data …
of inflammation or fibrosis, requiring a combination of clinical, imaging, and pathologic data …
Prognostic value of deep learning–based fibrosis quantification on chest CT in idiopathic pulmonary fibrosis
Objective To investigate the prognostic value of deep learning (DL)–driven CT fibrosis
quantification in idiopathic pulmonary fibrosis (IPF). Methods Patients diagnosed with IPF …
quantification in idiopathic pulmonary fibrosis (IPF). Methods Patients diagnosed with IPF …
Automated CT quantification of interstitial lung abnormality and interstitial lung disease according to the Fleischner Society in patients with resectable lung cancer …
Y Ahn, SM Lee, S Choi, JS Lee, J Choe, KH Do… - European …, 2023 - Springer
Objective To assess the prognostic significance of automatically quantified interstitial lung
abnormality (ILA) according to the definition by the Fleischner Society in patients with …
abnormality (ILA) according to the definition by the Fleischner Society in patients with …
Automated interstitial lung abnormality probability prediction at CT: a stepwise machine learning approach in the Boston Lung Cancer Study
A Hata, K Aoyagi, T Hino, M Kawagishi, N Wada… - Radiology, 2024 - pubs.rsna.org
Background It is increasingly recognized that interstitial lung abnormalities (ILAs) detected at
CT have potential clinical implications, but automated identification of ILAs has not yet been …
CT have potential clinical implications, but automated identification of ILAs has not yet been …
Pulse versus non‐pulse corticosteroid therapy in patients with acute exacerbation of idiopathic pulmonary fibrosis
Abstract Background and Objective Corticosteroids are commonly used for the treatment of
acute exacerbation of idiopathic pulmonary fibrosis (AE‐IPF); however, the optimal initial …
acute exacerbation of idiopathic pulmonary fibrosis (AE‐IPF); however, the optimal initial …
Value of CT quantification in progressive fibrosing interstitial lung disease: a deep learning approach
SY Koh, JH Lee, H Park, JM Goo - European Radiology, 2024 - Springer
Objectives To evaluate the relationship of changes in the deep learning–based CT
quantification of interstitial lung disease (ILD) with changes in forced vital capacity (FVC) …
quantification of interstitial lung disease (ILD) with changes in forced vital capacity (FVC) …
[HTML][HTML] Impact of radiation dose on the detection of interstitial lung changes and image quality in low-dose chest CT–Assessment in multiple dose levels from a single …
K Martini, L Jungblut, T Sartoretti, S Langhart… - European Journal of …, 2023 - Elsevier
Purpose To assess image quality and detectability of interstitial lung changes using multiple
radiation doses from the same chest CT scan of patients with suspected interstitial lung …
radiation doses from the same chest CT scan of patients with suspected interstitial lung …