Results 51 to 60 of about 756,991 (288)

Anxiety and Depression in Patients with Chronic Obstructive Pulmonary Disease in China: Results from the China Pulmonary Health [CPH] Study

International Journal of COPD, 2021
Ke Huang,1,2 Kewu Huang,3 Jianying Xu,4 Lan Yang,5 Jianping Zhao,6 Xiangyan Zhang,7 Chunxue Bai,8 Jian Kang,9 Pixin Ran,10 Huahao Shen,11 Fuqiang Wen,12 Yahong Chen,13 Tieying Sun,14 Guangliang Shan,15 Yingxiang Lin,3 Sinan Wu,2,16 Ting Yang,1,2,17 Chen ...
Huang K, Huang K, Xu J, Yang L, Zhao J, Zhang X, Bai C, Kang J, Ran P, Shen H, Wen F, Chen Y, Sun T, Shan G, Lin Y, Wu S, Yang T, Wang C   +17 more
doaj  

Development of a Multi-Task Learning V-Net for Pulmonary Lobar Segmentation on Computed Tomography and Application to Diseased Lungs [PDF]

arXiv, 2021
Automated lobar segmentation allows regional evaluation of lung disease and is important for diagnosis and therapy planning. Advanced statistical workflows permitting such evaluation is a needed area within respiratory medicine; their adoption remains slow, with poor workflow accuracy. Diseased lung regions often produce high-density zones on CT images,
arxiv  

Improving organ dose sparing in left‐sided breast cancer with yaw‐limited volumetric modulated arc therapy: A dosimetric comparison to conventional and intensity modulated radiation therapy approaches

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Background To assess the dose‐sparing capabilities of a yaw‐limited volumetric modulated arc therapy (YL_VMAT) beam setup for adjacent organs at risk (OAR) in comparison with 3D‐conventional radiation therapy (3D‐CRT), intensity‐modulated radiation therapy (IMRT) and conventional VMAT for radiation therapy in left‐sided breast cancer patients.
Gerhard Pollul, Sascha Grossmann, Heiko Karle, Tilman Bostel, Heinz Schmidberger   +4 more
wiley   +1 more source

Mortality from COVID-19 in Patients with COPD: A US Study in the N3C Data Enclave

International Journal of COPD, 2021
Daniel Meza, Basil Khuder, Joseph I Bailey, Sharon R Rosenberg, Ravi Kalhan, Paul A Reyfman Northwestern University, Feinberg School of Medicine, Division of Pulmonary and Critical Care Medicine, Chicago, IL, USACorrespondence: Paul A ReyfmanNorthwestern
Meza D, Khuder B, Bailey JI, Rosenberg SR, Kalhan R, Reyfman PA   +5 more
doaj  

Fuzzy Modeling of Electrical Impedance Tomography Image of the Lungs [PDF]

arXiv, 2007
Electrical Impedance Tomography (EIT) is a functional imaging method that is being developed for bedside use in critical care medicine. Aiming at improving the chest anatomical resolution of EIT images we developed a fuzzy model based on EIT high temporal resolution and the functional information contained in the pulmonary perfusion and ventilation ...
arxiv  

A method for measuring spatial resolution based on clinical chest CT sequence images

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose This study aimed to develop and validate a method for characterizing the spatial resolution of clinical chest computed tomography (CT) sequence images. Methods An algorithm for characterizing spatial resolution based on clinical chest CT sequence images was developed in Matlab (2021b).
Ying Liu, Jingying Shen, Haowei Zhang, Haikuan Liu   +3 more
wiley   +1 more source

Editorial: Advanced therapeutic delivery for the management of chronic respiratory diseases

Frontiers in Medicine, 2022
Keshav Raj Paudel, Dinesh Kumar Chellappan, Ronan MacLoughlin, Ronan MacLoughlin, Ronan MacLoughlin, Terezinha de Jesus Andreoli Pinto, Kamal Dua, Kamal Dua, Philip M. Hansbro   +8 more
doaj   +1 more source

Characteristics of Chronic Obstructive Pulmonary Disease Patients with Pulmonary Hypertension Assessed by Echocardiography in a Three-Year Observational Cohort Study

International Journal of COPD, 2020
Shingo Nakayama,1 Shotaro Chubachi,1 Kaori Sakurai,1 Hidehiro Irie,1 Akihiro Tsutsumi,1 Mizuha Hashiguchi,2 Yuji Itabashi,3 Mitsushige Murata,4 Hidetoshi Nakamura,5 Koichiro Asano,6 Koichi Fukunaga1 1Division of Pulmonary Medicine, Department of Medicine,
Nakayama S, Chubachi S, Sakurai K, Irie H, Tsutsumi A, Hashiguchi M, Itabashi Y, Murata M, Nakamura H, Asano K, Fukunaga K   +10 more
doaj  

Comprehensive clinical evaluation of novel 4DCT‐based lung function imaging methods

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose Methods have been developed that apply image processing to 4DCTs to generate 4DCT‐ventilation/perfusion lung imaging. Traditional methods for 4DCT‐ventilation rely on Hounsfield‐Unit (HU) density‐change methods and suffer from poor numerical robustness while not providing 4DCT‐perfusion data.
Ehsan Golkar, Taindra Neupane, Lydia Wilson, Jennifer Kwak, Richard Castillo, Edward Castillo, Yevgeniy Vinogradskiy   +6 more
wiley   +1 more source

Lung Segmentation and Nodule Detection in Computed Tomography Scan using a Convolutional Neural Network Trained Adversarially using Turing Test Loss [PDF]

arXiv, 2020
Lung cancer is the most common form of cancer found worldwide with a high mortality rate. Early detection of pulmonary nodules by screening with a low-dose computed tomography (CT) scan is crucial for its effective clinical management. Nodules which are symptomatic of malignancy occupy about 0.0125 - 0.025\% of volume in a CT scan of a patient.
arxiv