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Differences in the gray-to-white matter ratio according to different computed tomography scanners for outcome prediction in post-cardiac arrest patients receiving target temperature management

The gray-to-white matter ratio (GWR) has been used to identify brain damage in comatose patients after cardiac arrest. However, Hounsfield units (HUs), the measurement of brain density on computed tomography (CT) images, may vary depending on the machine type or parameter. Therefore, differences in...

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Autores principales: Oh, Jae Hun, Choi, Seung Pill, Zhu, Jong Ho, Kim, Soo Hyun, Park, Kyu Nam, Youn, Chun Song, Oh, Sang Hoon, Kim, Han Joon, Park, Sang Hyun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8516299/
https://www.ncbi.nlm.nih.gov/pubmed/34648574
http://dx.doi.org/10.1371/journal.pone.0258480
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author Oh, Jae Hun
Choi, Seung Pill
Zhu, Jong Ho
Kim, Soo Hyun
Park, Kyu Nam
Youn, Chun Song
Oh, Sang Hoon
Kim, Han Joon
Park, Sang Hyun
author_facet Oh, Jae Hun
Choi, Seung Pill
Zhu, Jong Ho
Kim, Soo Hyun
Park, Kyu Nam
Youn, Chun Song
Oh, Sang Hoon
Kim, Han Joon
Park, Sang Hyun
author_sort Oh, Jae Hun
collection PubMed
description The gray-to-white matter ratio (GWR) has been used to identify brain damage in comatose patients after cardiac arrest. However, Hounsfield units (HUs), the measurement of brain density on computed tomography (CT) images, may vary depending on the machine type or parameter. Therefore, differences in CT scanners may affect the GWR in post-cardiac arrest patients. We performed a retrospective study on comatose post-cardiac arrest patients who visited the hospital from 2007 to 2017. Two CT, Lightspeed and SOMATOM, scanners were used. Two observers independently measured the HUs of the caudate nucleus, putamen, posterior internal capsule, and corpus callosum using regions of interest. We compared the GWR calculated from the HUs measured at different CT scanners. The analysis of different scanners showed statistically significant differences in the measured HUs and GWR. The HUs and GWR of Lightspeed were measured lower than SOMATOM. The difference between the two CT scanners was also evident in groups divided by neurological prognosis. The area under the curve of the receiver operating characteristic curve to predict poor outcomes of Lightspeed was 0.798, and the cut-off value for 100% specificity was 1.172. The SOMATOM was 0.855, and the cut-off value was 1.269. The difference in scanners affects measurements and performance characteristics of the GWR in post-cardiac arrest patients. Therefore, when applying the results of the GWR study to clinical practice, reference values for each device should be presented, and an integrated plan should be prepared.
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spelling pubmed-85162992021-10-15 Differences in the gray-to-white matter ratio according to different computed tomography scanners for outcome prediction in post-cardiac arrest patients receiving target temperature management Oh, Jae Hun Choi, Seung Pill Zhu, Jong Ho Kim, Soo Hyun Park, Kyu Nam Youn, Chun Song Oh, Sang Hoon Kim, Han Joon Park, Sang Hyun PLoS One Research Article The gray-to-white matter ratio (GWR) has been used to identify brain damage in comatose patients after cardiac arrest. However, Hounsfield units (HUs), the measurement of brain density on computed tomography (CT) images, may vary depending on the machine type or parameter. Therefore, differences in CT scanners may affect the GWR in post-cardiac arrest patients. We performed a retrospective study on comatose post-cardiac arrest patients who visited the hospital from 2007 to 2017. Two CT, Lightspeed and SOMATOM, scanners were used. Two observers independently measured the HUs of the caudate nucleus, putamen, posterior internal capsule, and corpus callosum using regions of interest. We compared the GWR calculated from the HUs measured at different CT scanners. The analysis of different scanners showed statistically significant differences in the measured HUs and GWR. The HUs and GWR of Lightspeed were measured lower than SOMATOM. The difference between the two CT scanners was also evident in groups divided by neurological prognosis. The area under the curve of the receiver operating characteristic curve to predict poor outcomes of Lightspeed was 0.798, and the cut-off value for 100% specificity was 1.172. The SOMATOM was 0.855, and the cut-off value was 1.269. The difference in scanners affects measurements and performance characteristics of the GWR in post-cardiac arrest patients. Therefore, when applying the results of the GWR study to clinical practice, reference values for each device should be presented, and an integrated plan should be prepared. Public Library of Science 2021-10-14 /pmc/articles/PMC8516299/ /pubmed/34648574 http://dx.doi.org/10.1371/journal.pone.0258480 Text en © 2021 Oh et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://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
Oh, Jae Hun
Choi, Seung Pill
Zhu, Jong Ho
Kim, Soo Hyun
Park, Kyu Nam
Youn, Chun Song
Oh, Sang Hoon
Kim, Han Joon
Park, Sang Hyun
Differences in the gray-to-white matter ratio according to different computed tomography scanners for outcome prediction in post-cardiac arrest patients receiving target temperature management
title Differences in the gray-to-white matter ratio according to different computed tomography scanners for outcome prediction in post-cardiac arrest patients receiving target temperature management
title_full Differences in the gray-to-white matter ratio according to different computed tomography scanners for outcome prediction in post-cardiac arrest patients receiving target temperature management
title_fullStr Differences in the gray-to-white matter ratio according to different computed tomography scanners for outcome prediction in post-cardiac arrest patients receiving target temperature management
title_full_unstemmed Differences in the gray-to-white matter ratio according to different computed tomography scanners for outcome prediction in post-cardiac arrest patients receiving target temperature management
title_short Differences in the gray-to-white matter ratio according to different computed tomography scanners for outcome prediction in post-cardiac arrest patients receiving target temperature management
title_sort differences in the gray-to-white matter ratio according to different computed tomography scanners for outcome prediction in post-cardiac arrest patients receiving target temperature management
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8516299/
https://www.ncbi.nlm.nih.gov/pubmed/34648574
http://dx.doi.org/10.1371/journal.pone.0258480
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