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Quantification of abdominal aortic calcification: Inherent measurement errors in current computed tomography imaging
OBJECTIVE: Quantification software for coronary calcification is often used to measure abdominal aortic calcification on computed tomography (CT) images. However, there is no evidence substantiating the reliability and accuracy of these tools in this setting. Differences in coronary and abdominal CT...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5831389/ https://www.ncbi.nlm.nih.gov/pubmed/29489868 http://dx.doi.org/10.1371/journal.pone.0193419 |
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author | Buijs, Ruben V. C. Leemans, Eva L. Greuter, Marcel Tielliu, Ignace F. J. Zeebregts, Clark J. Willems, Tineke P. |
author_facet | Buijs, Ruben V. C. Leemans, Eva L. Greuter, Marcel Tielliu, Ignace F. J. Zeebregts, Clark J. Willems, Tineke P. |
author_sort | Buijs, Ruben V. C. |
collection | PubMed |
description | OBJECTIVE: Quantification software for coronary calcification is often used to measure abdominal aortic calcification on computed tomography (CT) images. However, there is no evidence substantiating the reliability and accuracy of these tools in this setting. Differences in coronary and abdominal CT acquisition and presence of intravascular contrast may affect the results of these tools. Therefore, this study investigates the effects of CT acquisition parameters and iodine contrast on automated quantification of aortic calcium on CT. METHODS: Calcium scores, provided in volume and mass, were assessed by automated calcium quantification software on CT scans. First, differences in calcium scores between the abdominal and coronary CT scanning protocols were assessed by imaging a thorax phantom containing calcifications of 9 metrical variations. Second, aortic calcification was quantified in 50 unenhanced and contrast-enhanced clinical abdominal CT scans at a calcification threshold of 299 Hounsfield Units (HU). Also, the lowest possible HU threshold for calcifications was calculated per individual patient and compared to a 130 HU threshold between contrast-enhanced and unenhanced CT images, respectively. RESULTS: No significant differences in volume and mass scores between the abdominal and the coronary CT protocol were found. However, volume and mass of all calcifications were overestimated compared to the physical volume and mass (volume range: 0–649%; mass range: 0–2619%). In comparing unenhanced versus contrast-enhanced CT images showed significant volume differences for both thresholds, as well as for mass differences for the 130 vs patient-specific threshold (230 ± 22.6 HU). CONCLUSION: Calcification scoring on CT angiography tends to grossly overestimate volume and mass suggesting a low accuracy and reliability. These are reduced further by interference of intravascular contrast. Future studies applying calcium quantification tools on CT angiography imaging should acknowledge these issues and apply corrective measures to ensure the validity of their outcomes. |
format | Online Article Text |
id | pubmed-5831389 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-58313892018-03-19 Quantification of abdominal aortic calcification: Inherent measurement errors in current computed tomography imaging Buijs, Ruben V. C. Leemans, Eva L. Greuter, Marcel Tielliu, Ignace F. J. Zeebregts, Clark J. Willems, Tineke P. PLoS One Research Article OBJECTIVE: Quantification software for coronary calcification is often used to measure abdominal aortic calcification on computed tomography (CT) images. However, there is no evidence substantiating the reliability and accuracy of these tools in this setting. Differences in coronary and abdominal CT acquisition and presence of intravascular contrast may affect the results of these tools. Therefore, this study investigates the effects of CT acquisition parameters and iodine contrast on automated quantification of aortic calcium on CT. METHODS: Calcium scores, provided in volume and mass, were assessed by automated calcium quantification software on CT scans. First, differences in calcium scores between the abdominal and coronary CT scanning protocols were assessed by imaging a thorax phantom containing calcifications of 9 metrical variations. Second, aortic calcification was quantified in 50 unenhanced and contrast-enhanced clinical abdominal CT scans at a calcification threshold of 299 Hounsfield Units (HU). Also, the lowest possible HU threshold for calcifications was calculated per individual patient and compared to a 130 HU threshold between contrast-enhanced and unenhanced CT images, respectively. RESULTS: No significant differences in volume and mass scores between the abdominal and the coronary CT protocol were found. However, volume and mass of all calcifications were overestimated compared to the physical volume and mass (volume range: 0–649%; mass range: 0–2619%). In comparing unenhanced versus contrast-enhanced CT images showed significant volume differences for both thresholds, as well as for mass differences for the 130 vs patient-specific threshold (230 ± 22.6 HU). CONCLUSION: Calcification scoring on CT angiography tends to grossly overestimate volume and mass suggesting a low accuracy and reliability. These are reduced further by interference of intravascular contrast. Future studies applying calcium quantification tools on CT angiography imaging should acknowledge these issues and apply corrective measures to ensure the validity of their outcomes. Public Library of Science 2018-02-28 /pmc/articles/PMC5831389/ /pubmed/29489868 http://dx.doi.org/10.1371/journal.pone.0193419 Text en © 2018 Buijs et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Buijs, Ruben V. C. Leemans, Eva L. Greuter, Marcel Tielliu, Ignace F. J. Zeebregts, Clark J. Willems, Tineke P. Quantification of abdominal aortic calcification: Inherent measurement errors in current computed tomography imaging |
title | Quantification of abdominal aortic calcification: Inherent measurement errors in current computed tomography imaging |
title_full | Quantification of abdominal aortic calcification: Inherent measurement errors in current computed tomography imaging |
title_fullStr | Quantification of abdominal aortic calcification: Inherent measurement errors in current computed tomography imaging |
title_full_unstemmed | Quantification of abdominal aortic calcification: Inherent measurement errors in current computed tomography imaging |
title_short | Quantification of abdominal aortic calcification: Inherent measurement errors in current computed tomography imaging |
title_sort | quantification of abdominal aortic calcification: inherent measurement errors in current computed tomography imaging |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5831389/ https://www.ncbi.nlm.nih.gov/pubmed/29489868 http://dx.doi.org/10.1371/journal.pone.0193419 |
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