Zobrazeno 1 - 6
of 6
pro vyhledávání: '"MPE, Malignant pleural effusion"'
Publikováno v:
Trakia Journal of Sciences, Vol 16, Iss 3, Pp 242-248 (2018)
MPE management has been changing over the years as this is due both to the technological advancement of mini-invasive surgical methods and to the change in our knowledge about this manifestation of oncology disorder. Advanced cancer disease and poor
Externí odkaz:
https://doaj.org/article/4ab4348efe7f4420acb58bbd730c161f
Publikováno v:
Trakia Journal of Sciences, Vol 15, Iss 3, Pp 210-215 (2017)
OBJECTIVE: The purpose of this study is to answer the question whether the treatment of these patients leads to control of respiratory failure by relieving and eliminating dyspnea and preserving the patients’ ability to care for themselves, as well
Externí odkaz:
https://doaj.org/article/e994856497f444899c5aac27b799d079
Publikováno v:
Annals of Medicine and Surgery
Introduction Malignant pleural effusion (MPE) affects approximately 200,000 people in the United States per annum. Chemical pleurodesis is a recommended first line treatment in the management of MPE, however, success rates as low as 43% has been repo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::79211d9b3e0aca468ed7d20792be16e3
https://pubmed.ncbi.nlm.nih.gov/34408869
https://pubmed.ncbi.nlm.nih.gov/34408869
Publikováno v:
Trakia Journal of Sciences, Vol 15, Iss 3, Pp 210-215 (2017)
OBJECTIVE: The purpose of this study is to answer the question whether the treatment of these patients leads to control of respiratory failure by relieving and eliminating dyspnea and preserving the patients’ ability to care for themselves, as well
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::448280593b1503d29995449ec7be9297
https://doi.org/10.15547/tjs.2017.03.004
https://doi.org/10.15547/tjs.2017.03.004
Publikováno v:
Translational Oncology
Translational Oncology, Vol 14, Iss 1, Pp 100896-(2021)
Translational Oncology, Vol 14, Iss 1, Pp 100896-(2021)
Our study aimed to explore the applicability of deep learning and machine learning techniques to distinguish MPE from BPE. We initially used a retrospective cohort with 726 PE patients to train and test the predictive performances of the driverless a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::63717b5c2164e768c9046333da78e291
https://doi.org/10.1016/j.tranon.2020.100896
https://doi.org/10.1016/j.tranon.2020.100896
Autor:
Campion E; School of Pharmacy and Biomolecular Sciences, RCSI University of Medicine and Health Sciences, Dublin 2, Dublin, Ireland., Mallah SI; School of Medicine, RCSI University of Medicine and Health Sciences, Bahrain., Azhar M; Graduate Entry Medicine, RCSI University of Medicine and Health Sciences, Dublin 2, Dublin, Ireland.; Department of Surgery, St. Vincent's University Hospital, Dublin 4, Dublin, Ireland., O'Keeffe D; Department of Surgical Affairs, RCSI University of Medicine and Health Sciences, Dublin 2, Dublin, Ireland., Hameed A; Tissue Engineering Research Group (TERG), Department of Anatomy and Regenerative Medicine, RCSI University of Medicine and Health Sciences, Dublin 2, Dublin, Ireland.; Trinity Centre for Biomedical Engineering (TCBE), Trinity College Dublin (TCD), Dublin, Ireland.
Publikováno v:
Annals of medicine and surgery (2012) [Ann Med Surg (Lond)] 2021 Aug 09; Vol. 68, pp. 102697. Date of Electronic Publication: 2021 Aug 09 (Print Publication: 2021).