Validated imaging biomarkers as decision-making tools in clinical trials and routine practice: current status and recommendations from the EIBALL* subcommittee of …
NM deSouza, E Achten, A Alberich-Bayarri… - Insights into …, 2019 - Springer
Observer-driven pattern recognition is the standard for interpretation of medical images. To
achieve global parity in interpretation, semi-quantitative scoring systems have been …
achieve global parity in interpretation, semi-quantitative scoring systems have been …
Multi-resolution convolutional neural networks for fully automated segmentation of acutely injured lungs in multiple species
Segmentation of lungs with acute respiratory distress syndrome (ARDS) is a challenging
task due to diffuse opacification in dependent regions which results in little to no contrast at …
task due to diffuse opacification in dependent regions which results in little to no contrast at …
Human airway branch variation and chronic obstructive pulmonary disease
BM Smith, H Traboulsi, JHM Austin… - Proceedings of the …, 2018 - National Acad Sciences
Susceptibility to chronic obstructive pulmonary disease (COPD) beyond cigarette smoking is
incompletely understood, although several genetic variants associated with COPD are …
incompletely understood, although several genetic variants associated with COPD are …
Effects of dupilumab on mucus plugging and ventilation defects in patients with moderate-to-severe asthma: a randomized, double-blind, placebo-controlled trial
S Svenningsen, M Kjarsgaard, E Haider… - American Journal of …, 2023 - atsjournals.org
Methods We completed a single-center, randomized, double-blind, placebo-controlled trial
(ClinicalTrials. gov identifier NCT 03884842) in 25 adults with uncontrolled moderate to …
(ClinicalTrials. gov identifier NCT 03884842) in 25 adults with uncontrolled moderate to …
A survey on artificial intelligence in pulmonary imaging
Over the last decade, deep learning (DL) has contributed to a paradigm shift in computer
vision and image recognition creating widespread opportunities of using artificial …
vision and image recognition creating widespread opportunities of using artificial …
Air pollution and subclinical interstitial lung disease: the Multi-Ethnic Study of Atherosclerosis (MESA) air–lung study
C Sack, S Vedal, L Sheppard, G Raghu… - European …, 2017 - Eur Respiratory Soc
We studied whether ambient air pollution is associated with interstitial lung abnormalities
(ILAs) and high attenuation areas (HAAs), which are qualitative and quantitative …
(ILAs) and high attenuation areas (HAAs), which are qualitative and quantitative …
Predicting severe chronic obstructive pulmonary disease exacerbations using quantitative CT: a retrospective model development and external validation study
MFA Chaudhary, EA Hoffman, J Guo… - The Lancet Digital …, 2023 - thelancet.com
Background Quantitative CT is becoming increasingly common for the characterisation of
lung disease; however, its added potential as a clinical tool for predicting severe …
lung disease; however, its added potential as a clinical tool for predicting severe …
Single-Session Bronchial Thermoplasty Guided by 129Xe Magnetic Resonance Imaging. A Pilot Randomized Controlled Clinical Trial
Rationale: Adverse events have limited the use of bronchial thermoplasty (BT) in severe
asthma. Objectives: We sought to evaluate the effectiveness and safety of using 129Xe …
asthma. Objectives: We sought to evaluate the effectiveness and safety of using 129Xe …
Quantitative computed tomographic imaging–based clustering differentiates asthmatic subgroups with distinctive clinical phenotypes
Background Imaging variables, including airway diameter, wall thickness, and air trapping,
have been found to be important metrics when differentiating patients with severe asthma …
have been found to be important metrics when differentiating patients with severe asthma …
Machine learning approach for distinguishing malignant and benign lung nodules utilizing standardized perinodular parenchymal features from CT
J Uthoff, MJ Stephens, JD Newell Jr… - Medical …, 2019 - Wiley Online Library
Purpose Computed tomography (CT) is an effective method for detecting and characterizing
lung nodules in vivo. With the growing use of chest CT, the detection frequency of lung …
lung nodules in vivo. With the growing use of chest CT, the detection frequency of lung …