ArticleInvestigative and clinical urology2018
Fourier transform infrared spectroscopy for analysis of kidney stones.
Article in Investigative and clinical urology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed.
- Quantitative Susceptibility Mapping of Kidney Stones: An Ex Vivo MRI Phantom Study.Magnetic resonance in medicine · 2026Article
- Prediction of the composition of urinary calculi using artificial intelligence.Pakistan journal of medical sciences · 2025Article
- Evaluation of Metabolomics in Chemical Pathology Research in Pakistan: A Less Explored Path and New Frontier.EJIFCC · 2025Review
- Comprehensive Analysis of Renal Stones Using FTIR Spectroscopy in a Referral Laboratory in Nepal.EJIFCC · 2025Article
- Determination of the kidney stone composition using infrared spectroscopy in Iran at a national referral center during 2019-2023.Asian journal of urology · 2025Article
- Characteristics of urinary stone composition among patients with urolithiasis: a retrospective study in China.BMJ open · 2024Observational
- Advancements in stone classification: unveiling the beauty of urolithiasis.World journal of urology · 2024Review
- Environmental Conditions as Determinants of Kidney Stone Formation.ACS applied bio materials · 2023Article
- Chemical Studies of Multicomponent Kidney Stones Using the Modern Advanced Research Methods.Molecules (Basel, Switzerland) · 2023Article
- CarboxymethylatedBiomolecules · 2023Article
- Artificial Intelligence for Kidney Stone Spectra Analysis: Using Artificial Intelligence Algorithms for Quality Assurance in the Clinical Laboratory.Mayo Clinic proceedings. Digital health · 2023Article
- Development and validation of standard and real patient gallstone library using Fourier transform infra-red spectroscopy.BMC gastroenterology · 2022Article
- Expression Optimizing of Recombinant Oxalyl-CoA Decarboxylase inAdvanced biomedical research · 2022Article
- Distinguishing active from quiescent disease in ANCA-associated vasculitis using attenuated total reflection Fourier-transform infrared spectroscopy.Scientific reports · 2021Article
- Urinary stone composition analysis and clinical characterization of 1520 patients in central China.Scientific reports · 2021Article
- Analysis of stones formed in the human gall bladder and kidney using advanced spectroscopic techniques.Biophysical reviews · 2020Review
- AKI in a Patient with Cerebral Toxoplasmosis.Kidney360 · 2020Article
- Exploring the Therapeutic Mechanism ofFrontiers in pharmacology · 2018Article
- Article
- Correlations between stones composition, dietary and comorbidities context of the lithiasic patient.Romanian journal of morphology and embryology = Revue roumaine de morphologie et embryologieArticle
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4 authors.
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Abstract
purposeTo compare the results of a chemical method of kidney stone analysis with the results of Fourier transform infrared (FT-IR) spectroscopy. MATERIALS AND
methodsKidney stones collected between June and October 2015 were simultaneously analyzed by chemical and FT-IR methods.
resultsKidney stones (n=449) were collected from patients from 1 to 81 years old. Most stones were from adults, with only 11.5% from children (aged 3-16 years) and 1.5% from children aged <2 years. The male to female ratio was 4.6. In adults, the calcium oxalate stone type, calcium oxalate monohydrate (COM, n=224), was the most common crystal, followed by uric acid and calcium oxalate dihydrate (COD, n=83). In children, the most frequently occurring type was predominantly COD (n=21), followed by COM (n=11), ammonium urate (n=10), carbonate apatite (n=6), uric acid (n=4), and cystine (n=1). Core composition in 22 stones showed ammonium urate (n=2), COM (n=2), and carbonate apatite (n=1) in five stones, while uric acid crystals were detected (n=13) by FT-IR. While chemical analysis identified 3 stones as uric acid and the rest as calcium oxalate only. Agreement between the two methods was moderate, with a kappa statistic of 0.57 (95% confidence interval, 0.5-0.64). Disagreement was noted in the analysis of 77 stones.
conclusionsFT-IR analysis of kidney stones can overcome many limitations associated with chemical analysis.
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