Literature DB >> 16697869

Establishing composition and structure of intact urinary calculi by x-ray coherent scatter for clinical laboratory investigations.

Melanie T M Davidson1, Deidre L Batchelar, Ben H Chew, John D Denstedt, Ian A Cunningham.   

Abstract

PURPOSE: Current urinary stone analysis techniques are limited in their abilities to simultaneously characterize composition and structure. Laboratory techniques such as IRS and x-ray diffractometry require small powdered samples for analysis, rendering composition results dependent on the choice of sample and its preparation. We investigated the application of x-ray CS analysis to identify topographic urinary stone composition ex vivo. CS is essentially a transmission based x-ray diffractometry method that depends on molecular structure and, therefore, can distinguish different compounds. Diagnostic x-ray equipment facilitates the examination of structural arrangements of minerals in intact calculi.
MATERIALS AND METHODS: Tomographic images of intact calculi CS properties were acquired with a purposely built scanner. Composition is extracted from CS by fitting a library of common pure stone component CS signatures to those of the unknown sample in each image pixel. Two zones per stone were isolated (powdered) for IRS composition analysis for comparison with CS maps at these locations. Each stone was also independently analyzed for bulk composition by IRS analysis.
RESULTS: CS composition maps revealed the spatial arrangement of minerals in intact calculi. IRS results showed good agreement with CS in the selected regions of interest. Bulk composition by IRS was noted to miss some important stone components, indicating that the choice of sample may skew composition results.
CONCLUSIONS: CS from diagnostic x-rays can be used to identify structure and composition in mixed urinary calculi nondestructively. The tissue specific CS images presented support the development of CS analysis as a means of identifying stone composition characteristics in the laboratory.

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Year:  2006        PMID: 16697869     DOI: 10.1016/S0022-5347(06)00253-9

Source DB:  PubMed          Journal:  J Urol        ISSN: 0022-5347            Impact factor:   7.450


  2 in total

1.  Colour-coded density-gradients stone mapping: A novel reporting system for stone density on non-contrast computed tomography and its clinical applications.

Authors:  Mohamed Adel Atta; Hussein Mamdouh Abdeldaeim; Mohamed Mohie Eldin Hashad; Mohamed Samir Shabaan
Journal:  Arab J Urol       Date:  2020-07-07

2.  Analysis of the Application Value of X-Ray Digital Tomographic Fusion Technique in Urinary System Diseases.

Authors:  Chensi Ouyang; Xiufang Yang; Jinghong Xie; Jinqiang Hu
Journal:  J Healthc Eng       Date:  2022-01-07       Impact factor: 2.682

  2 in total

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