Deep learning for estimating lung capacity on chest radiographs predicts survival in idiopathic pulmonary fibrosis

H Kim, KN Jin, SJ Yoo, CH Lee, SM Lee, H Hong… - Radiology, 2022 - pubs.rsna.org
Background Total lung capacity (TLC) has been estimated with use of chest radiographs
based on time-consuming methods, such as planimetric techniques and manual …

A computer-based analysis for identification and quantification of small airway disease in lung computed tomography images: a comprehensive review for radiologists

MMB Mahdavi, M Arabfard, M Rafati… - Journal of Thoracic …, 2023 - journals.lww.com
Computed tomography (CT) imaging is being increasingly used in clinical practice for
detailed characterization of lung diseases. Respiratory diseases involve various …

Quantitative computed tomography: what clinical questions can it answer in chronic lung disease?

MC Barros, S Altmayer, AR Carvalho, R Rodrigues… - Lung, 2022 - Springer
Quantitative computed tomography (QCT) has recently gained an important role in the
functional assessment of chronic lung disease. Its capacity in diagnostic, staging, and …

Screening and staging of chronic obstructive pulmonary disease with deep learning based on chest X-ray images and clinical parameters

XL Zou, Y Ren, HL Yang, MM Zou, P Meng… - BMC Pulmonary …, 2024 - Springer
Background Chronic obstructive pulmonary disease (COPD) is underdiagnosed with the
current gold standard measure pulmonary function test (PFT). A more sensitive and simple …

Evaluation of spirometry-gated computed tomography to measure lung volumes in emphysema patients

JT Bakker, K Klooster, J Bouwman… - ERJ Open …, 2022 - Eur Respiratory Soc
Introduction In emphysema patient being evaluated for bronchoscopic lung volume
reduction (BLVR), accurate measurement of lung volumes is important. Total lung capacity …

Expiratory Venous Volume and Arterial Tortuosity are Associated with Disease Severity and Mortality Risk in Patients with COPD: Results from COSYCONET

MG Stoleriu, M Pienn, RA Joerres, P Alter… - … Journal of Chronic …, 2024 - Taylor & Francis
Purpose The aim of this study was to evaluate the association between computed
tomography (CT) quantitative pulmonary vessel morphology and lung function, disease …

Quantification of airway wall contrast enhancement on virtual monoenergetic images from spectral computed tomography

AL Bodenberger, P Konietzke, O Weinheimer… - European …, 2023 - Springer
Objectives Quantitative computed tomography (CT) plays an increasingly important role in
phenotyping airway diseases. Lung parenchyma and airway inflammation could be …

Lung volume measurement using chest CT in COVID-19 patients: a cohort study in Japan

S Otake, Y Shiraishi, S Chubachi… - BMJ Open …, 2024 - bmjopenrespres.bmj.com
Objective This study aimed to investigate the utility of CT quantification of lung volume for
predicting critical outcomes in COVID-19 patients. Methods This retrospective cohort study …

Pulmonary volumes and signs of chronic airflow limitation in quantitative computed tomography

E Bäcklin, A Gonon, M Sköld, Ö Smedby… - Clinical Physiology …, 2024 - Wiley Online Library
Background Computed tomography (CT) offers pulmonary volumetric quantification but is
not commonly used in healthy individuals due to radiation concerns. Chronic airflow …

Novel Surface Topographic Assessment of Lung Volume and Pulmonary Function Tests in Idiopathic Scoliosis: A Preliminary Study

JH Heyer, JL Wisch, KK Nagra, A Thakur… - Journal of Pediatric …, 2024 - journals.lww.com
Objective: Severe spinal deformity results in restrictive pulmonary disease from thoracic
distortions and lung-volume limitations. Though spirometry and body plethysmography are …