Literature DB >> 30550404

Computed Tomography Imaging for Novel Therapies of Chronic Obstructive Pulmonary Disease.

Hans-Ulrich Kauczor1,2,3, Mark O Wielpütz1,2,3, Bertram J Jobst1,2,3, Oliver Weinheimer1,2,3, Daniela Gompelmann2,4, Felix J F Herth2,4, Claus P Heussel1,2,3.   

Abstract

Novel therapeutic options in chronic obstructive pulmonary disease (COPD) require delicate patient selection and thus demand for expert radiologists visually and quantitatively evaluating high-resolution computed tomography (CT) with additional functional acquisitions such as paired inspiratory-expiratory scans or dynamic airway CT. The differentiation between emphysema-dominant and airway-dominant COPD phenotypes by imaging has immediate clinical value for patient management. Assessment of emphysema severity, distribution patterns, and fissure integrity are essential for stratifying patients for different surgical and endoscopic lung volume reduction procedures. This is supported by quantitative software-based postprocessing of CT data sets, which delivers objective emphysema and airway remodelling metrics. However, the significant impact of scanning and reconstruction parameters, as well as intersoftware variability still hamper comparability between sites and studies. In earlier stage COPD imaging, it is less clear as to what extent quantitative CT might impact decision making and therapy follow-up, as emphysema progression is too slow to realistically be useful as a mid-term outcome measure in an individual, and longitudinal data on airway remodelling are still very limited.

Entities:  

Mesh:

Year:  2019        PMID: 30550404     DOI: 10.1097/RTI.0000000000000378

Source DB:  PubMed          Journal:  J Thorac Imaging        ISSN: 0883-5993            Impact factor:   3.000


  3 in total

1.  Computed Tomography Registration-Derived Regional Ventilation Indices Compared to Global Lung Function Parameters in Patients With COPD.

Authors:  Julien Cohen; Mehdi Shekarnabi; Marie Destors; Renaud Tamisier; Sandrine Bouzon; Maciej Orkisz; Gilbert R Ferretti; Jean-Louis Pépin; Sam Bayat
Journal:  Front Physiol       Date:  2022-05-26       Impact factor: 4.755

2.  Early detection of COPD based on graph convolutional network and small and weakly labeled data.

Authors:  Zongli Li; Kewu Huang; Ligong Liu; Zuoqing Zhang
Journal:  Med Biol Eng Comput       Date:  2022-06-24       Impact factor: 3.079

3.  COVID-19 pneumonia: Prediction of patient outcome by CT-based quantitative lung parenchyma analysis combined with laboratory parameters.

Authors:  Thuy D Do; Stephan Skornitzke; Uta Merle; Maximilian Kittel; Stefan Hofbaur; Claudius Melzig; Hans-Ulrich Kauczor; Mark O Wielpütz; Oliver Weinheimer
Journal:  PLoS One       Date:  2022-07-29       Impact factor: 3.752

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.