Model experiment of in vivo synchrotron X-ray diffraction of human kidney stones

Анчаров, А. И.; Potapov, S. S.; Moiseenko, T.N.; Feofilov, I.V.; Nizovskiĭ, A. I.

doi:10.1016/j.nima.2007.01.073

Cited by 10 publications

(7 citation statements)

References 3 publications

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“…All XANES data agree with the XRPD data. The application of XANES presented here shows the wide opportunity to use synchrotron light in medical research, particularly in the field of kidney stone analysis (Fleming et al, 2003;Ancharov et al, 2005Ancharov et al, , 2007Bazin et al, 2006Bazin et al, , 2007. XANES is also a highspecificity technique which provides information on the near environment of a specific element (Nicolis et al, 2003) from complex mixtures of crystals and amorphous solids (Eichert et al, 2005).…”

Section: Figurementioning

confidence: 94%

“…The presence of intracrystalline proteins and amino acids had implications on the destruction of calcium oxalate crystals formed in the urinary tract and the prevention of kidney stones. Estimation opportunities and model experiments on the direct analysis of phase-structure kidney stones directly in the patient with the use of synchrotron X-ray diffraction have been reported (Ancharov et al, 2005(Ancharov et al, , 2007. In addition, the distributions of trace heavy metals in urinary stones were investigated by synchrotron X-ray microfluorescence (Bazin et al, 2007).…”

Section: Introductionmentioning

confidence: 99%

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An attempt at kidney stone analysis with the application of synchrotron radiation

Siritapetawee

Pattanasiriwisawa

2008

J Synchrotron Radiat

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X-ray absorption near-edge spectroscopy (XANES) is a spectroscopic technique using synchrotron light to determine the valence state of excited atoms as well as the electronegativity of their neighbouring atoms. XANES spectra can provide information about the chemical bond in the second coordination shell of the excited atom. In this study, XANES spectra of unknown compounds from human kidney stones were recorded around the K-edges of sulfur, phosphorus and calcium. The XANES results agree well with the diffractogram data of the same stones obtained through an X-ray powder diffraction (XRPD) technique. By comparing the measurement techniques presented here, it is shown that XANES requires a smaller amount of each sample than XRPD for analysis.

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Section: Figurementioning

confidence: 94%

Section: Introductionmentioning

confidence: 99%

An attempt at kidney stone analysis with the application of synchrotron radiation

Siritapetawee

Pattanasiriwisawa

2008

J Synchrotron Radiat

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“…471 Finally, analysis of the phase composition of human kidney stones in model objects with the use of SR diffraction was recently published. 472 Using a specific object phantom, Ancharov et al 473 explored the phase composition of kidney stones by X-ray diffraction using SR.…”

Section: In Vivo Studiesmentioning

confidence: 99%

Characterization and Some Physicochemical Aspects of Pathological Microcalcifications

et al. 2012

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“…In addition, the use of other techniques, namely near infrared (NIR), 7 scanning electron microscopy-energy-dispersive X-ray spectroscopy (SEM-EDS), 8 and even X-ray diffraction, 9 has also been assessed. NIR spectroscopy showed a good performance for the determination of the composition of renal calculi and quantification for mixtures.…”

Section: Introductionmentioning

confidence: 99%

Hyperspectral imaging based method for fast characterization of kidney stone types

et al. 2012

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The formation of kidney stones is a common and highly studied disease, which causes intense pain and presents a high recidivism. In order to find the causes of this problem, the characterization of the main compounds is of great importance. In this sense, the analysis of the composition and structure of the stone can give key information about the urine parameters during the crystal growth. But the usual methods employed are slow, analyst dependent and the information obtained is poor. In the present work, the near infrared (NIR)-hyperspectral imaging technique was used for the analysis of 215 samples of kidney stones, including the main types usually found and their mixtures. The NIR reflectance spectra of the analyzed stones showed significant differences that were used for their classification. To do so, a method was created by the use of artificial neural networks, which showed a probability higher than 90% for right classification of the stones. The promising results, robust methodology, and the fast analytical process, without the need of an expert assistance, lead to an easy implementation at the clinical laboratories, offering the urologist a rapid diagnosis that shall contribute to minimize urolithiasis recidivism. © 2012 Society of Photo-Optical Instrumentation Engineers (SPIE)

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Model experiment of in vivo synchrotron X-ray diffraction of human kidney stones

Cited by 10 publications

References 3 publications

An attempt at kidney stone analysis with the application of synchrotron radiation

An attempt at kidney stone analysis with the application of synchrotron radiation

Characterization and Some Physicochemical Aspects of Pathological Microcalcifications

Hyperspectral imaging based method for fast characterization of kidney stone types

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