Application of Infrared Spectroscopy to the Study of Renal Stones

2015 ◽  
pp. 237-246 ◽  
Author(s):  
J. Bellanato ◽  
L. Cifuentes Delatte ◽  
A. Hidalgo ◽  
M. Santos
Keyword(s):  
Infrared Spectroscopy ◽  
Renal Stones

scholarly journals Improvement of Urinary Stones Analysis Combining Morphological Analysis and Infrared Spectroscopy

2018 ◽  
Vol 2018 ◽  
pp. 1-7 ◽  
Author(s):  
Jacopo Gervasoni ◽  
Aniello Primiano ◽  
Pietro Manuel Ferraro ◽  
Andrea Urbani ◽  
Giovanni Gambaro ◽  
...  
Keyword(s):  
Infrared Spectroscopy ◽  
Morphological Analysis ◽  
Biochemical Analysis ◽  
Renal Stone ◽  
Analytical Techniques ◽  
Renal Stones ◽  
Urinary Stone ◽  
Urinary Stones ◽  
Ft Ir

Daudon et al. have developed a complex morphoconstitutional classification of renal stone in six different morphological types and several subtypes. According to this classification, a precise correspondence exists between causes of renal stones and subtypes with a great clinical relevance and can be considering a sort of shortcut for the metabolic diagnosis in renal stone patients. Now the diagnosis of causes of renal stones generally requires repeated biochemical investigations on urine and blood samples and usually remains presumptive. We analyzed 150 urinary stones both by stereoscopic microscopy and Fourier transform infrared spectroscopy. The comparison of 150 stones did not reveal any disagreement. We have only 20 partial agreement, and clinicians agreed that the imprecise information obtained with morphological analysis alone would have missed an important clinical finding only in 3 cases. In conclusion, in our opinion, the analysis of urinary stone must combine two different analytical techniques: morphological analysis by stereomicroscope and biochemical analysis with the FT-IR.

1902: Is Steinstrasse After ESWL of Renal Stones Predictable? Artificial Neural Network Analysis

2004 ◽  
Vol 171 (4S) ◽  
pp. 502-503
Author(s):  
Mohamed A. Gomha ◽  
Khaled Z. Sheir ◽  
Saeed Showky ◽  
Khaled Madbouly ◽  
Emad Elsobky ◽  
...  
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Network Analysis ◽  
Renal Stones ◽  
Neural Network Analysis ◽  
Artificial Neural Network Analysis ◽  
Artificial Neural

1696: May Phyllanthus Niruri ( Uriston®) Affect the Efficacy of ESWL on Renal Stones? A Prospective, Randomised Short Term Study

2005 ◽  
Vol 173 (4S) ◽  
pp. 460-460
Author(s):  
Antonio Celia ◽  
Salvatore Micali ◽  
Sighinolfi Maria Chiara ◽  
Grande Marco ◽  
Di Pietro Corradino ◽  
...  
Keyword(s):  
Renal Stones ◽  
Short Term ◽  
Phyllanthus Niruri ◽  
Term Study ◽  
Short Term Study

Millimetre-wave and infrared spectroscopy of Br13 CN: anharmonic force field of cyanogen bromide from spectroscopic data and ab initio calculations

1997 ◽  
Vol 90 (3) ◽  
pp. 495-497
Author(s):  
CLAUDIO ESPOSTI ◽  
FILIPPO TAMASSIA ◽  
CRISTINA PUZZARINI ◽  
RICCARDO TARRONI ◽  
ZDENEK ZELINGER
Keyword(s):  
Infrared Spectroscopy ◽  
Force Field ◽  
Ab Initio Calculations ◽  
Ab Initio ◽  
Spectroscopic Data ◽  
Cyanogen Bromide ◽  
Millimetre Wave ◽  
Anharmonic Force
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