Estimating lung function from computed tomography at the patient and lobe level using machine learning

LH Boulogne, JP Charbonnier, C Jacobs… - Medical …, 2024 - Wiley Online Library
Abstract Background Automated estimation of Pulmonary function test (PFT) results from
Computed Tomography (CT) could advance the use of CT in screening, diagnosis, and …

Automated pulmonary function measurements from preoperative CT scans with deep learning

YS Choi, J Oh, S Ahn, Y Hwangbo… - 2022 IEEE-EMBS …, 2022 - ieeexplore.ieee.org
Lung resections are the most effective treatment option for early stage lung cancer.
Clinicians determine whether a patient is operable and the extent a lung can be resected …

Automated estimation of total lung volume using chest radiographs and deep learning

E Sogancioglu, K Murphy, E Th. Scholten… - Medical …, 2022 - Wiley Online Library
Background Total lung volume is an important quantitative biomarker and is used for the
assessment of restrictive lung diseases. Purpose In this study, we investigate the …

Estimation of lung volume changes from frontal and lateral views of dynamic chest radiography using a convolutional neural network model: a computational phantom …

N Ishihara, R Tanaka, WP Segars… - … 2021: Physics of …, 2021 - spiedigitallibrary.org
TWe aimed to estimate respiratory changes in lung volumes (Δlung volume) using frontal
and lateral dynamic chest radiography (DCR) by employing a convolutional neural network …

[HTML][HTML] A machine learning approach for preoperatively assessing pulmonary function with computed tomography in patients with lung cancer

H Meng, Y Liu, X Xu, Y Liao, H Liang… - Quantitative Imaging in …, 2023 - ncbi.nlm.nih.gov
Background It is clinically important to accurately assess the pulmonary function of patients
with lung cancer, especially before surgery. This knowledge can help clinicians to monitor …

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 patient-specific approach for quantitative and automatic analysis of computed tomography images in lung disease: application to COVID-19 patients

L Berta, C De Mattia, F Rizzetto, S Carrazza… - Physica Medica, 2021 - Elsevier
Purpose Quantitative metrics in lung computed tomography (CT) images have been widely
used, often without a clear connection with physiology. This work proposes a patient …

Multi-view CNN for total lung volume inference on cardiac computed tomography

A Wysoczanski, ED Angelini, Y Sun… - 2023 IEEE 20th …, 2023 - ieeexplore.ieee.org
Total lung volume (TLV) at full inspiration is a parameter of significant interest in pulmonary
physiology but requires computed tomography (CT) scanning of the full axial extent of the …

Emphysema Score in CT for COPD Quantifications Using Artificial Intelligence Informed by Virtual Imaging Datasets

S Sotoudeh-Paima, MG Nejad, WP Segars… - B68. A DIFFERENT …, 2023 - atsjournals.org
RATIONALE: Emphysema is mainly characterized by the destruction of lung parenchyma.
Computed tomography (CT) is an in vivo diagnostic method that assesses the severity and …

Correlation between lung volumes obtained by quantitative thoracic CT and pulmonary function tests

C Utrilla, M Fernandez-Velilla, R Casitas, R Galera… - 2014 - epos.myesr.org
Aims and objectives Recently, there has been huge progress in image quality, mainly due to
the advances in multidetector CT scanners that give more detailed imaging of lung tissue. By …