Use my Search Websuite to scan PubMed, PMCentral, Journal Hosts and Journal Archives, FullText. Kick-your-searchterm to multiple Engines kick-your-query now !>

A dictionary by aggregated review articles of nephrology, medicine and the life sciences Your one-stop-run pathway from word to the immediate pdf of peer-reviewed on-topic knowledge.

10.1007/s00259-021-05375-3 http://scihub22266oqcxt.onion/10.1007/s00259-021-05375-3 33932183!8087891!33932183     free     free     free Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Eur+J+Nucl+Med+Mol+Imaging 2021 ; 48 (8): 2500-2524 Nephropedia Template TP {{tp|p=33932183|t=2021. A comprehensive review of imaging findings in COVID-19 - status in early 2021 |pdf=|usr=}}{{33932183}} gab.com Text A comprehensive review of imaging findings in COVID-19 - status in early 2021 JO: Eur J Nucl Med Mol Imaging http://www.kidney.de/pget.php?&tw=1&pmid=33932183 #FOAvip Medical imaging methods are assuming a greater role in the workup of patients with COVID-19, mainly in relation to the primary manifestation of pulmonary disease and the tissue distribution of the angiotensin-converting-enzyme 2 (ACE 2) receptor. However, the field is so new that no consensus view has emerged guiding clinical decisions to employ imaging procedures such as radiography, computer tomography (CT), positron emission tomography (PET), and magnetic resonance imaging, and in what measure the risk of exposure of staff to possible infection could be justified by the knowledge gained. The insensitivity of current RT-PCR methods for positive diagnosis is part of the rationale for resorting to imaging procedures. While CT is more sensitive than genetic testing in hospitalized patients, positive findings of ground glass opacities depend on the disease stage. There is sparse reporting on PET/CT with [(18)F]-FDG in COVID-19, but available results are congruent with the earlier literature on viral pneumonias. There is a high incidence of cerebral findings in COVID-19, and likewise evidence of gastrointestinal involvement. Artificial intelligence, notably machine learning is emerging as an effective method for diagnostic image analysis, with performance in the discriminative diagnosis of diagnosis of COVID-19 pneumonia comparable to that of human practitioners. Twit Text FOAVip A comprehensive review of imaging findings in COVID-19 - status in early 2021 ????Eur J Nucl Med Mol Imaging http://www.kidney.de/pget.php?&tw=1&pmid=33932183 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33932183 #FOAvip English Wikipedia <ref>{{Cite pmid|33932183}}</ref> A comprehensive review of imaging findings in COVID-19 - status in early 2021 #MMPMID33932183 Afshar-Oromieh A; Prosch H; Schaefer-Prokop C; Bohn KP; Alberts I; Mingels C; Thurnher M; Cumming P; Shi K; Peters A; Geleff S; Lan X; Wang F; Huber A; Grani C; Heverhagen JT; Rominger A; Fontanellaz M; Schoder H; Christe A; Mougiakakou S; Ebner L Eur J Nucl Med Mol Imaging 2021[Jul]; 48 (8): 2500-2524 PMID33932183show ga Medical imaging methods are assuming a greater role in the workup of patients with COVID-19, mainly in relation to the primary manifestation of pulmonary disease and the tissue distribution of the angiotensin-converting-enzyme 2 (ACE 2) receptor. However, the field is so new that no consensus view has emerged guiding clinical decisions to employ imaging procedures such as radiography, computer tomography (CT), positron emission tomography (PET), and magnetic resonance imaging, and in what measure the risk of exposure of staff to possible infection could be justified by the knowledge gained. The insensitivity of current RT-PCR methods for positive diagnosis is part of the rationale for resorting to imaging procedures. While CT is more sensitive than genetic testing in hospitalized patients, positive findings of ground glass opacities depend on the disease stage. There is sparse reporting on PET/CT with [(18)F]-FDG in COVID-19, but available results are congruent with the earlier literature on viral pneumonias. There is a high incidence of cerebral findings in COVID-19, and likewise evidence of gastrointestinal involvement. Artificial intelligence, notably machine learning is emerging as an effective method for diagnostic image analysis, with performance in the discriminative diagnosis of diagnosis of COVID-19 pneumonia comparable to that of human practitioners. |*COVID-19[MESH] |*Pneumonia, Viral[MESH] |Artificial Intelligence[MESH] |Humans[MESH] |Positron Emission Tomography Computed Tomography[MESH]A comprehensive review of imaging findings in COVID-19 - status in ear(epmc).pdf DeepDyve Pubget Overpricing