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Predicting Hepatic Steatosis in Living Liver Donors via Noninvasive Methods
Hepatic steatosis assessment is of paramount importance for living liver donor selection because significant hepatic steatosis can affect the postoperative outcome of recipients and the safety of the donor. The validity of various noninvasive imaging methods to assess hepatic steatosis remains contr...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Wolters Kluwer Health
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4998612/ https://www.ncbi.nlm.nih.gov/pubmed/26886612 http://dx.doi.org/10.1097/MD.0000000000002718 |
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author | Kim, Jong Man Ha, Sang Yun Joh, Jae-Won Sinn, Dong Hyun Jeong, Woo Kyung Choi, Gyu-Seong Gwak, Geum Youn Kwon, Choon Hyuck David Kim, Young Kon Paik, Yong Han Lee, Joon Hyeok Lee, Won Jae Lee, Suk-Koo Park, Cheol Keun |
author_facet | Kim, Jong Man Ha, Sang Yun Joh, Jae-Won Sinn, Dong Hyun Jeong, Woo Kyung Choi, Gyu-Seong Gwak, Geum Youn Kwon, Choon Hyuck David Kim, Young Kon Paik, Yong Han Lee, Joon Hyeok Lee, Won Jae Lee, Suk-Koo Park, Cheol Keun |
author_sort | Kim, Jong Man |
collection | PubMed |
description | Hepatic steatosis assessment is of paramount importance for living liver donor selection because significant hepatic steatosis can affect the postoperative outcome of recipients and the safety of the donor. The validity of various noninvasive imaging methods to assess hepatic steatosis remains controversial. The purpose of our study is to investigate the association between noninvasive imaging methods and pathology to detect steatosis in living liver donors and to propose a prediction model for hepatic steatosis. Liver stiffness measurements (LSMs) and controlled attenuation parameter values in vibration controlled transient elastography, ultrasonography, computed tomography (CT), and magnetic resonance imaging were used as pretransplant screening methods to evaluate living liver donors between 2012 and 2014. Only 1 pathologist assessed tissue sample for hepatic steatosis. The median age of the 79 living donors (53 men and 26 women) was 32 years (16–68 years). The CT liver–spleen attenuation (L–S) difference and the controlled attenuation parameter values were well correlated with the level of hepatic steatosis on liver pathology. Multivariate analysis showed that liver stiffness measurement (LSM) (β = 0.903; 95% CI, 0.105–1.702; P = 0.027) and the CT L to S attenuation difference (β = −3.322; 95% CI, −0.502 to −0.142; P = 0.001) were closely associated with hepatic steatosis. We generated the following equation to predict total hepatic steatosis: Hepatic steatosis = 0.903 × LSM – 0.322 × CT L to S attenuation difference (AUC = 86.6% and P = 0.001). The values predicted by the equation correlated well with the presence of hepatic steatosis (r = 0.509 and P < 0.001). The combination of nonenhanced CT L to S attenuation difference and transient elastography using vibration controlled transient elastography provides sufficient information to predict hepatic steatosis in living liver donor candidates. |
format | Online Article Text |
id | pubmed-4998612 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Wolters Kluwer Health |
record_format | MEDLINE/PubMed |
spelling | pubmed-49986122016-09-06 Predicting Hepatic Steatosis in Living Liver Donors via Noninvasive Methods Kim, Jong Man Ha, Sang Yun Joh, Jae-Won Sinn, Dong Hyun Jeong, Woo Kyung Choi, Gyu-Seong Gwak, Geum Youn Kwon, Choon Hyuck David Kim, Young Kon Paik, Yong Han Lee, Joon Hyeok Lee, Won Jae Lee, Suk-Koo Park, Cheol Keun Medicine (Baltimore) 7100 Hepatic steatosis assessment is of paramount importance for living liver donor selection because significant hepatic steatosis can affect the postoperative outcome of recipients and the safety of the donor. The validity of various noninvasive imaging methods to assess hepatic steatosis remains controversial. The purpose of our study is to investigate the association between noninvasive imaging methods and pathology to detect steatosis in living liver donors and to propose a prediction model for hepatic steatosis. Liver stiffness measurements (LSMs) and controlled attenuation parameter values in vibration controlled transient elastography, ultrasonography, computed tomography (CT), and magnetic resonance imaging were used as pretransplant screening methods to evaluate living liver donors between 2012 and 2014. Only 1 pathologist assessed tissue sample for hepatic steatosis. The median age of the 79 living donors (53 men and 26 women) was 32 years (16–68 years). The CT liver–spleen attenuation (L–S) difference and the controlled attenuation parameter values were well correlated with the level of hepatic steatosis on liver pathology. Multivariate analysis showed that liver stiffness measurement (LSM) (β = 0.903; 95% CI, 0.105–1.702; P = 0.027) and the CT L to S attenuation difference (β = −3.322; 95% CI, −0.502 to −0.142; P = 0.001) were closely associated with hepatic steatosis. We generated the following equation to predict total hepatic steatosis: Hepatic steatosis = 0.903 × LSM – 0.322 × CT L to S attenuation difference (AUC = 86.6% and P = 0.001). The values predicted by the equation correlated well with the presence of hepatic steatosis (r = 0.509 and P < 0.001). The combination of nonenhanced CT L to S attenuation difference and transient elastography using vibration controlled transient elastography provides sufficient information to predict hepatic steatosis in living liver donor candidates. Wolters Kluwer Health 2016-02-18 /pmc/articles/PMC4998612/ /pubmed/26886612 http://dx.doi.org/10.1097/MD.0000000000002718 Text en Copyright © 2016 Wolters Kluwer Health, Inc. All rights reserved. http://creativecommons.org/licenses/by/4.0 This is an open access article distributed under the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. http://creativecommons.org/licenses/by/4.0 |
spellingShingle | 7100 Kim, Jong Man Ha, Sang Yun Joh, Jae-Won Sinn, Dong Hyun Jeong, Woo Kyung Choi, Gyu-Seong Gwak, Geum Youn Kwon, Choon Hyuck David Kim, Young Kon Paik, Yong Han Lee, Joon Hyeok Lee, Won Jae Lee, Suk-Koo Park, Cheol Keun Predicting Hepatic Steatosis in Living Liver Donors via Noninvasive Methods |
title | Predicting Hepatic Steatosis in Living Liver Donors via Noninvasive Methods |
title_full | Predicting Hepatic Steatosis in Living Liver Donors via Noninvasive Methods |
title_fullStr | Predicting Hepatic Steatosis in Living Liver Donors via Noninvasive Methods |
title_full_unstemmed | Predicting Hepatic Steatosis in Living Liver Donors via Noninvasive Methods |
title_short | Predicting Hepatic Steatosis in Living Liver Donors via Noninvasive Methods |
title_sort | predicting hepatic steatosis in living liver donors via noninvasive methods |
topic | 7100 |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4998612/ https://www.ncbi.nlm.nih.gov/pubmed/26886612 http://dx.doi.org/10.1097/MD.0000000000002718 |
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