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Hepatobiliary phase signal intensity: A potential method of diagnosing HCC with atypical imaging features among LR-M observations
Herein, we assessed whether hepatobiliary phase (HBP) signal intensity (SI) can be used to differentiate HCC and non-HCC malignancies within LR-M observations. 106 LR-M patients based on LI-RADS v2018 who underwent gadoxetate-disodium magnetic resonance imaging and surgery from January 2009 to Decem...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8437291/ https://www.ncbi.nlm.nih.gov/pubmed/34516587 http://dx.doi.org/10.1371/journal.pone.0257308 |
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author | Park, Jae Hyon Chung, Yong Eun Seo, Nieun Choi, Jin-Young Park, Mi-Suk Kim, Myeong-Jin |
author_facet | Park, Jae Hyon Chung, Yong Eun Seo, Nieun Choi, Jin-Young Park, Mi-Suk Kim, Myeong-Jin |
author_sort | Park, Jae Hyon |
collection | PubMed |
description | Herein, we assessed whether hepatobiliary phase (HBP) signal intensity (SI) can be used to differentiate HCC and non-HCC malignancies within LR-M observations. 106 LR-M patients based on LI-RADS v2018 who underwent gadoxetate-disodium magnetic resonance imaging and surgery from January 2009 to December 2018 were included. SI of LR-M observation on HBP was analyzed by two radiologists and categorized into dark, low and iso-to-high groups. Tumor was classified as dark when more than 50% of tumor showed hypointensity compared to spleen, as low when more than 50% of tumor showed hyperintensity compared to spleen but hypointensity compared to liver parenchyma, and as iso-to-high if there was even a focal iso-intensity or hyperintensity compared to liver parenchyma. Analysis of clinicopathological factors and association between imaging and histology was performed. Out of 106 LR-M, 42 (40%) were showed dark, 61 (58%) showed low, and 3 (3%) showed iso-to-high SI in HBP. Three iso-to-high SI LR-M were HCCs (P = 0.060) and their major histologic differentiation was Edmondson grade 1 (P = 0.001). 43 out of 61 (71%) low SI LR-M were iCCA or cHCC-CCA (P = 0.002). Inter-reader agreement of HBP SI classification was excellent, with a kappa coefficient of 0.872. LR-M with iso-to-high SI in HBP is prone to being HCC while LR-M with low SI in HBP is prone to being tumor with fibrous stroma such as iCCA and cHCC-CCA. Classification of LR-M based on HBP SI may be a helpful method of differentiating HCC from non-HCC malignancies. |
format | Online Article Text |
id | pubmed-8437291 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-84372912021-09-14 Hepatobiliary phase signal intensity: A potential method of diagnosing HCC with atypical imaging features among LR-M observations Park, Jae Hyon Chung, Yong Eun Seo, Nieun Choi, Jin-Young Park, Mi-Suk Kim, Myeong-Jin PLoS One Research Article Herein, we assessed whether hepatobiliary phase (HBP) signal intensity (SI) can be used to differentiate HCC and non-HCC malignancies within LR-M observations. 106 LR-M patients based on LI-RADS v2018 who underwent gadoxetate-disodium magnetic resonance imaging and surgery from January 2009 to December 2018 were included. SI of LR-M observation on HBP was analyzed by two radiologists and categorized into dark, low and iso-to-high groups. Tumor was classified as dark when more than 50% of tumor showed hypointensity compared to spleen, as low when more than 50% of tumor showed hyperintensity compared to spleen but hypointensity compared to liver parenchyma, and as iso-to-high if there was even a focal iso-intensity or hyperintensity compared to liver parenchyma. Analysis of clinicopathological factors and association between imaging and histology was performed. Out of 106 LR-M, 42 (40%) were showed dark, 61 (58%) showed low, and 3 (3%) showed iso-to-high SI in HBP. Three iso-to-high SI LR-M were HCCs (P = 0.060) and their major histologic differentiation was Edmondson grade 1 (P = 0.001). 43 out of 61 (71%) low SI LR-M were iCCA or cHCC-CCA (P = 0.002). Inter-reader agreement of HBP SI classification was excellent, with a kappa coefficient of 0.872. LR-M with iso-to-high SI in HBP is prone to being HCC while LR-M with low SI in HBP is prone to being tumor with fibrous stroma such as iCCA and cHCC-CCA. Classification of LR-M based on HBP SI may be a helpful method of differentiating HCC from non-HCC malignancies. Public Library of Science 2021-09-13 /pmc/articles/PMC8437291/ /pubmed/34516587 http://dx.doi.org/10.1371/journal.pone.0257308 Text en © 2021 Park 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 Park, Jae Hyon Chung, Yong Eun Seo, Nieun Choi, Jin-Young Park, Mi-Suk Kim, Myeong-Jin Hepatobiliary phase signal intensity: A potential method of diagnosing HCC with atypical imaging features among LR-M observations |
title | Hepatobiliary phase signal intensity: A potential method of diagnosing HCC with atypical imaging features among LR-M observations |
title_full | Hepatobiliary phase signal intensity: A potential method of diagnosing HCC with atypical imaging features among LR-M observations |
title_fullStr | Hepatobiliary phase signal intensity: A potential method of diagnosing HCC with atypical imaging features among LR-M observations |
title_full_unstemmed | Hepatobiliary phase signal intensity: A potential method of diagnosing HCC with atypical imaging features among LR-M observations |
title_short | Hepatobiliary phase signal intensity: A potential method of diagnosing HCC with atypical imaging features among LR-M observations |
title_sort | hepatobiliary phase signal intensity: a potential method of diagnosing hcc with atypical imaging features among lr-m observations |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8437291/ https://www.ncbi.nlm.nih.gov/pubmed/34516587 http://dx.doi.org/10.1371/journal.pone.0257308 |
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