Machine learning in radiology: the new frontier in interstitial lung diseases

H Barnes, SM Humphries, PM George… - The Lancet Digital …, 2023 - thelancet.com
Challenges for the effective management of interstitial lung diseases (ILDs) include
difficulties with the early detection of disease, accurate prognostication with baseline data …

Idiopathic pulmonary fibrosis (an update) and progressive pulmonary fibrosis in adults: an official ATS/ERS/JRS/ALAT clinical practice guideline

G Raghu, M Remy-Jardin, L Richeldi… - American Journal of …, 2022 - atsjournals.org
Background: This American Thoracic Society, European Respiratory Society, Japanese
Respiratory Society, and Asociación Latinoamericana de Tórax guideline updates prior …

[HTML][HTML] Towards the adoption of quantitative computed tomography in the management of interstitial lung disease

SLF Walsh, J De Backer, H Prosch… - European …, 2024 - Eur Respiratory Soc
The shortcomings of qualitative visual assessment have led to the development of computer-
based tools to characterise and quantify disease on high-resolution computed tomography …

Quantitative chest CT assessment of small airways disease in post-acute SARS-CoV-2 infection

JL Cho, R Villacreses, P Nagpal, J Guo, AA Pezzulo… - Radiology, 2022 - pubs.rsna.org
Background The long-term effects of SARS-CoV-2 infection on pulmonary structure and
function remain incompletely characterized. Purpose To test whether SARS-CoV-2 infection …

Pulmonary fibrosis 4 months after COVID-19 is associated with severity of illness and blood leucocyte telomere length

CF McGroder, D Zhang, MA Choudhury, MM Salvatore… - Thorax, 2021 - thorax.bmj.com
The risk factors for development of fibrotic-like radiographic abnormalities after severe
COVID-19 are incompletely described and the extent to which CT findings correlate with …

Deep learning for classifying fibrotic lung disease on high-resolution computed tomography: a case-cohort study

SLF Walsh, L Calandriello, M Silva… - The Lancet Respiratory …, 2018 - thelancet.com
Background Based on international diagnostic guidelines, high-resolution CT plays a central
part in the diagnosis of fibrotic lung disease. In the correct clinical context, when high …

Deep learning–based outcome prediction in progressive fibrotic lung disease using high-resolution computed tomography

SLF Walsh, JA Mackintosh, L Calandriello… - American journal of …, 2022 - atsjournals.org
Rationale: Reliable outcome prediction in patients with fibrotic lung disease using baseline
high-resolution computed tomography (HRCT) data remains challenging. Objectives: To …

Predicting outcomes in idiopathic pulmonary fibrosis using automated computed tomographic analysis

J Jacob, BJ Bartholmai, S Rajagopalan… - American journal of …, 2018 - atsjournals.org
Rationale: Quantitative computed tomographic (CT) measures of baseline disease severity
might identify patients with idiopathic pulmonary fibrosis (IPF) with an increased mortality …

Computed tomographic biomarkers in idiopathic pulmonary fibrosis. The future of quantitative analysis

X Wu, GH Kim, ML Salisbury, D Barber… - American journal of …, 2019 - atsjournals.org
The Biomarkers Definitions Working Group defines a clinical endpoint as a variable that
reflects how a patient feels, functions, or survives (5, 6). The past 3 decades of IPF clinical …

Idiopathic pulmonary fibrosis: data-driven textural analysis of extent of fibrosis at baseline and 15-month follow-up

SM Humphries, K Yagihashi, J Huckleberry, BH Rho… - Radiology, 2017 - pubs.rsna.org
Purpose To evaluate associations between pulmonary function and both quantitative
analysis and visual assessment of thin-section computed tomography (CT) images at …