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Fat Hounsfield Unit Reference Interval Derived through an Indirect Method

Background: In vivo Hounsfield Unit (HU) values have traditionally been determined using direct CT image measurements. These measurements are dependent on the window/level used to examine the CT image and the individual conducting the fat tissue tracing. Methods: Using an indirect method, a new refe...

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Autores principales: Pop, Marian, Mărușteri, Marius
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10252728/
https://www.ncbi.nlm.nih.gov/pubmed/37296765
http://dx.doi.org/10.3390/diagnostics13111913
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author Pop, Marian
Mărușteri, Marius
author_facet Pop, Marian
Mărușteri, Marius
author_sort Pop, Marian
collection PubMed
description Background: In vivo Hounsfield Unit (HU) values have traditionally been determined using direct CT image measurements. These measurements are dependent on the window/level used to examine the CT image and the individual conducting the fat tissue tracing. Methods: Using an indirect method, a new reference interval (RI) is proposed. A total of 4000 samples of fat tissues were collected from routine abdominal CT examinations. A linear regression equation was then calculated using the linear part of the cumulative frequency plot of their average values. Results: The regression function for total abdominal fat was determined to be y = 35.376*x − 123.48, and a 95% confidence RI of −123 to −89 was computed. A significant difference of 3.82 was observed between the average fat HU values of visceral and subcutaneous areas. Conclusions: Using statistical methods and the in vivo measurements of patient data, a series of RIs were determined for fat HU that is consistent with theoretical values.
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spelling pubmed-102527282023-06-10 Fat Hounsfield Unit Reference Interval Derived through an Indirect Method Pop, Marian Mărușteri, Marius Diagnostics (Basel) Technical Note Background: In vivo Hounsfield Unit (HU) values have traditionally been determined using direct CT image measurements. These measurements are dependent on the window/level used to examine the CT image and the individual conducting the fat tissue tracing. Methods: Using an indirect method, a new reference interval (RI) is proposed. A total of 4000 samples of fat tissues were collected from routine abdominal CT examinations. A linear regression equation was then calculated using the linear part of the cumulative frequency plot of their average values. Results: The regression function for total abdominal fat was determined to be y = 35.376*x − 123.48, and a 95% confidence RI of −123 to −89 was computed. A significant difference of 3.82 was observed between the average fat HU values of visceral and subcutaneous areas. Conclusions: Using statistical methods and the in vivo measurements of patient data, a series of RIs were determined for fat HU that is consistent with theoretical values. MDPI 2023-05-30 /pmc/articles/PMC10252728/ /pubmed/37296765 http://dx.doi.org/10.3390/diagnostics13111913 Text en © 2023 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
Pop, Marian
Mărușteri, Marius
Fat Hounsfield Unit Reference Interval Derived through an Indirect Method
title Fat Hounsfield Unit Reference Interval Derived through an Indirect Method
title_full Fat Hounsfield Unit Reference Interval Derived through an Indirect Method
title_fullStr Fat Hounsfield Unit Reference Interval Derived through an Indirect Method
title_full_unstemmed Fat Hounsfield Unit Reference Interval Derived through an Indirect Method
title_short Fat Hounsfield Unit Reference Interval Derived through an Indirect Method
title_sort fat hounsfield unit reference interval derived through an indirect method
topic Technical Note
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10252728/
https://www.ncbi.nlm.nih.gov/pubmed/37296765
http://dx.doi.org/10.3390/diagnostics13111913
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