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Implementation of a Technique Based on Hounsfield Units and Hounsfield Density to Determine Kidney Stone Composition
Hounsfield units (HU) are a measure of radiodensity, related to the density of a tissue and the composition of kidney stones. Hounsfield density is what is related to the composition of kidney stones. In the standard acquisition method, these measures are arbitrary and dependent on the operator. Thi...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8544724/ https://www.ncbi.nlm.nih.gov/pubmed/34698253 http://dx.doi.org/10.3390/tomography7040051 |
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author | Rodríguez-Plata, Irvin Tadeo Medina-Escobedo, Martha Basulto-Martínez, Mario Avila-Nava, Azalia Gutiérrez-Solis, Ana Ligia Méndez-Domínguez, Nina Lugo, Roberto |
author_facet | Rodríguez-Plata, Irvin Tadeo Medina-Escobedo, Martha Basulto-Martínez, Mario Avila-Nava, Azalia Gutiérrez-Solis, Ana Ligia Méndez-Domínguez, Nina Lugo, Roberto |
author_sort | Rodríguez-Plata, Irvin Tadeo |
collection | PubMed |
description | Hounsfield units (HU) are a measure of radiodensity, related to the density of a tissue and the composition of kidney stones. Hounsfield density is what is related to the composition of kidney stones. In the standard acquisition method, these measures are arbitrary and dependent on the operator. This study describes the implementation of a technique based on the HU and Hounsfield density to predict the stone compositions of patients with nephrolithiasis. By conventional percutaneous nephrolithotomy, thirty kidney stone samples corresponding to the cortex, middle, and nucleus were obtained. The HU were obtained by CT scanning with a systematic grid. Hounsfield density was calculated as the HU value divided by the stone’s greatest diameter (HU/mm). With that method and after analyzing the samples by IR-spectroscopy, anhydrous uric acid and ammonium magnesium phosphate were identified as the compounds of kidney stones. Additionally, anhydrous uric acid, magnesium ammonium phosphate, and calcium oxalate monohydrate were identified via Hounsfield density calculation. The study identified HU ranges for stone compounds using a systematic technique that avoids bias in its analysis. In addition, this work could contribute to the timely diagnosis and development of personalized therapies for patients with this pathology. |
format | Online Article Text |
id | pubmed-8544724 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-85447242021-10-26 Implementation of a Technique Based on Hounsfield Units and Hounsfield Density to Determine Kidney Stone Composition Rodríguez-Plata, Irvin Tadeo Medina-Escobedo, Martha Basulto-Martínez, Mario Avila-Nava, Azalia Gutiérrez-Solis, Ana Ligia Méndez-Domínguez, Nina Lugo, Roberto Tomography Technical Note Hounsfield units (HU) are a measure of radiodensity, related to the density of a tissue and the composition of kidney stones. Hounsfield density is what is related to the composition of kidney stones. In the standard acquisition method, these measures are arbitrary and dependent on the operator. This study describes the implementation of a technique based on the HU and Hounsfield density to predict the stone compositions of patients with nephrolithiasis. By conventional percutaneous nephrolithotomy, thirty kidney stone samples corresponding to the cortex, middle, and nucleus were obtained. The HU were obtained by CT scanning with a systematic grid. Hounsfield density was calculated as the HU value divided by the stone’s greatest diameter (HU/mm). With that method and after analyzing the samples by IR-spectroscopy, anhydrous uric acid and ammonium magnesium phosphate were identified as the compounds of kidney stones. Additionally, anhydrous uric acid, magnesium ammonium phosphate, and calcium oxalate monohydrate were identified via Hounsfield density calculation. The study identified HU ranges for stone compounds using a systematic technique that avoids bias in its analysis. In addition, this work could contribute to the timely diagnosis and development of personalized therapies for patients with this pathology. MDPI 2021-10-20 /pmc/articles/PMC8544724/ /pubmed/34698253 http://dx.doi.org/10.3390/tomography7040051 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Technical Note Rodríguez-Plata, Irvin Tadeo Medina-Escobedo, Martha Basulto-Martínez, Mario Avila-Nava, Azalia Gutiérrez-Solis, Ana Ligia Méndez-Domínguez, Nina Lugo, Roberto Implementation of a Technique Based on Hounsfield Units and Hounsfield Density to Determine Kidney Stone Composition |
title | Implementation of a Technique Based on Hounsfield Units and Hounsfield Density to Determine Kidney Stone Composition |
title_full | Implementation of a Technique Based on Hounsfield Units and Hounsfield Density to Determine Kidney Stone Composition |
title_fullStr | Implementation of a Technique Based on Hounsfield Units and Hounsfield Density to Determine Kidney Stone Composition |
title_full_unstemmed | Implementation of a Technique Based on Hounsfield Units and Hounsfield Density to Determine Kidney Stone Composition |
title_short | Implementation of a Technique Based on Hounsfield Units and Hounsfield Density to Determine Kidney Stone Composition |
title_sort | implementation of a technique based on hounsfield units and hounsfield density to determine kidney stone composition |
topic | Technical Note |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8544724/ https://www.ncbi.nlm.nih.gov/pubmed/34698253 http://dx.doi.org/10.3390/tomography7040051 |
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