Calculating potential error in sodium MRI with respect to the analysis of small objects

2017 ◽  
Vol 79 (6) ◽  
pp. 2968-2977 ◽  
Author(s):  
Robert W. Stobbe ◽  
Christian Beaulieu
Keyword(s):  
2019 ◽  
Vol 6 ◽  
pp. 156-162 ◽  
Author(s):  
Surrin S. Deen ◽  
Frank Riemer ◽  
Mary A. McLean ◽  
Andrew B. Gill ◽  
Joshua D. Kaggie ◽  
...  

Electronics ◽  
2021 ◽  
Vol 10 (15) ◽  
pp. 1788
Author(s):  
Giulio Giovannetti ◽  
Alessandra Flori ◽  
Nicola Martini ◽  
Roberto Francischello ◽  
Giovanni Donato Aquaro ◽  
...  

Sodium (23Na) is the most abundant cation present in the human body and is involved in a large number of vital body functions. In the last few years, the interest in Sodium Magnetic Resonance Imaging (23Na MRI) has considerably increased for its relevance in physiological and physiopathological aspects. Indeed, sodium MRI offers the possibility to extend the anatomical imaging information by providing additional and complementary information on physiology and cellular metabolism with the heteronuclear Magnetic Resonance Spectroscopy (MRS). Constraints are the rapidly decaying of sodium signal, the sensitivity lack due to the low sodium concentration versus 1H-MRI induce scan times not clinically acceptable and it also constitutes a challenge for sodium MRI. With the available magnetic fields for clinical MRI scanners (1.5 T, 3 T, 7 T), and the hardware capabilities such as strong gradient strengths with high slew rates and new dedicated radiofrequency (RF) sodium coils, it is possible to reach reasonable measurement times (~10–15 min) with a resolution of a few millimeters, where it has already been applied in vivo in many human organs such as the brain, cartilage, kidneys, heart, as well as in muscle and the breast. In this work, we review the different geometries and setup of sodium coils described in the available literature for different in vivo applications in human organs with clinical MR scanners, by providing details of the design, modeling and construction of the coils.


2012 ◽  
Vol 57 (14) ◽  
pp. 4555-4567 ◽  
Author(s):  
Friedrich Wetterling ◽  
Dominique M Corteville ◽  
Raffi Kalayciyan ◽  
Andreas Rennings ◽  
Simon Konstandin ◽  
...  

NeuroImage ◽  
2017 ◽  
Vol 157 ◽  
pp. 173-183 ◽  
Author(s):  
Ben Ridley ◽  
Angela Marchi ◽  
Jonathan Wirsich ◽  
Elisabeth Soulier ◽  
Sylviane Confort-Gouny ◽  
...  

2018 ◽  
Vol 75 (19) ◽  
pp. 1460-1466 ◽  
Author(s):  
Jessica M. Zacher ◽  
Francesca E. Cunningham ◽  
Xinhua Zhao ◽  
Muriel L. Burk ◽  
Von R. Moore ◽  
...  

Abstract Purpose Results of a study to estimate the prevalence of look-alike/sound-alike (LASA) medication errors through analysis of Veterans Affairs (VA) administrative data are reported. Methods Veterans with at least 2 filled prescriptions for 1 medication in 20 LASA drug pairs during the period April 2014–March 2015 and no history of use of both medications in the preceding 6 months were identified. First occurrences of potential LASA errors were identified by analyzing dispensing patterns and documented diagnoses. For 7 LASA drug pairs, potential errors were evaluated via chart review to determine if an actual error occurred. Results Among LASA drug pairs with overlapping indications, the pairs associated with the highest potential-error rates, by percentage of treated patients, were tamsulosin and terazosin (3.05%), glipizide and glyburide (2.91%), extended- and sustained-release formulations of bupropion (1.53%), and metoprolol tartrate and metoprolol succinate (1.48%). Among pairs with distinct indications, the pairs associated with the highest potential-error rates were tramadol and trazodone (2.20%) and bupropion and buspirone (1.31%). For LASA drug pairs found to be associated with actual errors, the estimated error rates were as follows: lamivudine and lamotrigine, 0.003% (95% confidence interval [CI], 0–0.01%); carbamazepine and oxcarbazepine, 0.03% (95% CI, 0–0.09%); and morphine and hydromorphone, 0.02% (95% CI, 0–0.05%). Conclusion Through the use of administrative databases, potential LASA errors that could be reviewed for an actual error via chart review were identified. While a high rate of potential LASA errors was detected, the number of actual errors identified was low.


Author(s):  
Olgica Zaric ◽  
Vladimir Juras ◽  
Pavol Szomolanyi ◽  
Markus Schreiner ◽  
Marcus Raudner ◽  
...  
Keyword(s):  

2020 ◽  
Vol 28 ◽  
pp. 102427
Author(s):  
Sebastian Regnery ◽  
Nicolas G.R. Behl ◽  
Tanja Platt ◽  
Nina Weinfurtner ◽  
Paul Windisch ◽  
...  

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