Evidence map›Paper›PMID 30075002›Full record

ArticlePloS one2018

Raman chemical imaging, a new tool in kidney stone structure analysis: Case-study and comparison to Fourier Transform Infrared spectroscopy.

Vincent Castiglione, Pierre-Yves Sacré, Etienne Cavalier, Philippe Hubert, Romy Gadisseur, Eric Ziemons

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In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Vincent CastiglioneDepartment of Clinical Chemistry, CHU of Liège, University of Liège, Liège, Belgium.ORCID 0000-0003-0778-0145
Pierre-Yves SacréUniversity of Liege (ULiege), CIRM, VibraSante Hub, Laboratory of Pharmaceutical Analytical Chemistry, Liège, Belgium.
Etienne CavalierDepartment of Clinical Chemistry, CHU of Liège, University of Liège, Liège, Belgium.
Philippe HubertUniversity of Liege (ULiege), CIRM, VibraSante Hub, Laboratory of Pharmaceutical Analytical Chemistry, Liège, Belgium.
Romy GadisseurDepartment of Clinical Chemistry, CHU of Liège, University of Liège, Liège, Belgium.
Eric ZiemonsUniversity of Liege (ULiege), CIRM, VibraSante Hub, Laboratory of Pharmaceutical Analytical Chemistry, Liège, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectivesThe kidney stone's structure might provide clinical information in addition to the stone composition. The Raman chemical imaging is a technology used for the production of two-dimension maps of the constituents' distribution in samples. We aimed at determining the use of Raman chemical imaging in urinary stone analysis. MATERIAL AND

methodsFourteen calculi were analyzed by Raman chemical imaging using a confocal Raman microspectrophotometer. They were selected according to their heterogeneous composition and morphology. Raman chemical imaging was performed on the whole section of stones. Once acquired, the data were baseline corrected and analyzed by MCR-ALS. Results were then compared to the spectra obtained by Fourier Transform Infrared spectroscopy.

resultsRaman chemical imaging succeeded in identifying almost all the chemical components of each sample, including monohydrate and dihydrate calcium oxalate, anhydrous and dihydrate uric acid, apatite, struvite, brushite, and rare chemicals like whitlockite, ammonium urate and drugs. However, proteins couldn't be detected because of the huge autofluorescence background and the small concentration of these poor Raman scatterers. Carbapatite and calcium oxalate were correctly detected even when they represented less than 5 percent of the whole stones. Moreover, Raman chemical imaging provided the distribution of components within the stones: nuclei were accurately identified, as well as thin layers of other components. Conversion of dihydrate to monohydrate calcium oxalate was correctly observed in the centre of one sample. The calcium oxalate monohydrate had different Raman spectra according to its localization.

conclusionRaman chemical imaging showed a good accuracy in comparison with infrared spectroscopy in identifying components of kidney stones. This analysis was also useful in determining the organization of components within stones, which help locating constituents in low quantity, such as nuclei. However, this analysis is time-consuming, making it more suitable for research studies rather than routine analysis.

Indexed as

Spectroscopy, Fourier Transform InfraredSpectrum Analysis, RamanDiagnostic Tests, RoutineHumansKidney CalculiTime Factors

Identifiers

PMID30075002
PMCPMC6075768

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