Cargando…
Magnetization-tagged MRI is a simple method for predicting liver fibrosis
BACKGROUND/AIMS: To assess the usefulness of magnetization-tagged magnetic resonance imaging (MRI) in quantifying cardiac-induced liver motion and deformation in order to predict liver fibrosis. METHODS: This retrospective study included 85 patients who underwent liver MRI including magnetization-ta...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Korean Association for the Study of the Liver
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4825163/ https://www.ncbi.nlm.nih.gov/pubmed/27044764 http://dx.doi.org/10.3350/cmh.2016.22.1.140 |
_version_ | 1782426172657762304 |
---|---|
author | Kim, Kyung-Eun Park, Mi-Suk Chung, Sohae An, Chansik Axel, Leon Ergashovna, Rakhmonova Gulbahor |
author_facet | Kim, Kyung-Eun Park, Mi-Suk Chung, Sohae An, Chansik Axel, Leon Ergashovna, Rakhmonova Gulbahor |
author_sort | Kim, Kyung-Eun |
collection | PubMed |
description | BACKGROUND/AIMS: To assess the usefulness of magnetization-tagged magnetic resonance imaging (MRI) in quantifying cardiac-induced liver motion and deformation in order to predict liver fibrosis. METHODS: This retrospective study included 85 patients who underwent liver MRI including magnetization-tagged sequences from April 2010 to August 2010. Tagged images were acquired in three coronal and three sagittal planes encompassing both the liver and heart. A Gabor filter bank was used to measure the maximum value of displacement (MaxDisp) and the maximum and minimum values of principal strains (MaxP1 and MinP2, respectively). Patients were divided into three groups (no fibrosis, mild-to-moderate fibrosis, and significant fibrosis) based on their aspartate-aminotransferase-to-platelet ratio index (APRI) score. Group comparisons were made using ANOVA tests. RESULTS: The patients were divided into three groups according to APRI scores: no fibrosis (≤0.5; n=41), moderate fibrosis (0.5–1.5; n=23), and significant fibrosis (>1.5; n=21). The values of MaxDisp were 2.9±0.9 (mean±SD), 2.3±0.7, and 2.1±0.6 in the no fibrosis, moderate fibrosis, and significant fibrosis groups, respectively (P<0.001); the corresponding values of MaxP1 were 0.05±0.2, 0.04±0.02, and 0.03±0.01, respectively (P=0.002), while those of MinP2 were –0.07±0.02, –0.05±0.02, and –0.04±0.01, respectively (P<0.001). CONCLUSIONS: Tagged MRI to quantify cardiac-induced liver motion can be easily incorporated in routine liver MRI and may represent a helpful complementary tool in the diagnosis of early liver fibrosis. |
format | Online Article Text |
id | pubmed-4825163 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | The Korean Association for the Study of the Liver |
record_format | MEDLINE/PubMed |
spelling | pubmed-48251632016-04-11 Magnetization-tagged MRI is a simple method for predicting liver fibrosis Kim, Kyung-Eun Park, Mi-Suk Chung, Sohae An, Chansik Axel, Leon Ergashovna, Rakhmonova Gulbahor Clin Mol Hepatol Original Article BACKGROUND/AIMS: To assess the usefulness of magnetization-tagged magnetic resonance imaging (MRI) in quantifying cardiac-induced liver motion and deformation in order to predict liver fibrosis. METHODS: This retrospective study included 85 patients who underwent liver MRI including magnetization-tagged sequences from April 2010 to August 2010. Tagged images were acquired in three coronal and three sagittal planes encompassing both the liver and heart. A Gabor filter bank was used to measure the maximum value of displacement (MaxDisp) and the maximum and minimum values of principal strains (MaxP1 and MinP2, respectively). Patients were divided into three groups (no fibrosis, mild-to-moderate fibrosis, and significant fibrosis) based on their aspartate-aminotransferase-to-platelet ratio index (APRI) score. Group comparisons were made using ANOVA tests. RESULTS: The patients were divided into three groups according to APRI scores: no fibrosis (≤0.5; n=41), moderate fibrosis (0.5–1.5; n=23), and significant fibrosis (>1.5; n=21). The values of MaxDisp were 2.9±0.9 (mean±SD), 2.3±0.7, and 2.1±0.6 in the no fibrosis, moderate fibrosis, and significant fibrosis groups, respectively (P<0.001); the corresponding values of MaxP1 were 0.05±0.2, 0.04±0.02, and 0.03±0.01, respectively (P=0.002), while those of MinP2 were –0.07±0.02, –0.05±0.02, and –0.04±0.01, respectively (P<0.001). CONCLUSIONS: Tagged MRI to quantify cardiac-induced liver motion can be easily incorporated in routine liver MRI and may represent a helpful complementary tool in the diagnosis of early liver fibrosis. The Korean Association for the Study of the Liver 2016-03 2016-03-28 /pmc/articles/PMC4825163/ /pubmed/27044764 http://dx.doi.org/10.3350/cmh.2016.22.1.140 Text en Copyright © 2016 by The Korean Association for the Study of the Liver This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Kim, Kyung-Eun Park, Mi-Suk Chung, Sohae An, Chansik Axel, Leon Ergashovna, Rakhmonova Gulbahor Magnetization-tagged MRI is a simple method for predicting liver fibrosis |
title | Magnetization-tagged MRI is a simple method for predicting liver fibrosis |
title_full | Magnetization-tagged MRI is a simple method for predicting liver fibrosis |
title_fullStr | Magnetization-tagged MRI is a simple method for predicting liver fibrosis |
title_full_unstemmed | Magnetization-tagged MRI is a simple method for predicting liver fibrosis |
title_short | Magnetization-tagged MRI is a simple method for predicting liver fibrosis |
title_sort | magnetization-tagged mri is a simple method for predicting liver fibrosis |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4825163/ https://www.ncbi.nlm.nih.gov/pubmed/27044764 http://dx.doi.org/10.3350/cmh.2016.22.1.140 |
work_keys_str_mv | AT kimkyungeun magnetizationtaggedmriisasimplemethodforpredictingliverfibrosis AT parkmisuk magnetizationtaggedmriisasimplemethodforpredictingliverfibrosis AT chungsohae magnetizationtaggedmriisasimplemethodforpredictingliverfibrosis AT anchansik magnetizationtaggedmriisasimplemethodforpredictingliverfibrosis AT axelleon magnetizationtaggedmriisasimplemethodforpredictingliverfibrosis AT ergashovnarakhmonovagulbahor magnetizationtaggedmriisasimplemethodforpredictingliverfibrosis |