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Histogram Analysis of Diffusion Kurtosis Magnetic Resonance Imaging for Diagnosis of Hepatic Fibrosis
OBJECTIVE: To investigate the diagnostic value of diffusion kurtosis imaging (DKI) histogram analysis in hepatic fibrosis staging. MATERIALS AND METHODS: Thirty-six rats were divided into carbon tetrachloride-induced fibrosis groups (6 rats per group for 2, 4, 6, and 8 weeks) and a control group (n...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Korean Society of Radiology
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6082766/ https://www.ncbi.nlm.nih.gov/pubmed/30174481 http://dx.doi.org/10.3348/kjr.2018.19.5.916 |
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author | Sheng, Ruo-Fan Jin, Kai-Pu Yang, Li Wang, He-Qing Liu, Hao Ji, Yuan Fu, Cai-Xia Zeng, Meng-Su |
author_facet | Sheng, Ruo-Fan Jin, Kai-Pu Yang, Li Wang, He-Qing Liu, Hao Ji, Yuan Fu, Cai-Xia Zeng, Meng-Su |
author_sort | Sheng, Ruo-Fan |
collection | PubMed |
description | OBJECTIVE: To investigate the diagnostic value of diffusion kurtosis imaging (DKI) histogram analysis in hepatic fibrosis staging. MATERIALS AND METHODS: Thirty-six rats were divided into carbon tetrachloride-induced fibrosis groups (6 rats per group for 2, 4, 6, and 8 weeks) and a control group (n = 12). MRI was performed using a 3T scanner. Histograms of DKI were obtained for corrected apparent diffusion (D), kurtosis (K) and apparent diffusion coefficient (ADC). Mean, median, skewness, kurtosis and 25th and 75th percentiles were generated and compared according to the fibrosis stage and inflammatory activity. RESULTS: A total of 35 rats were included, and 12, 5, 5, 6, and 7 rats were diagnosed as F0–F4. The mean, median, 25th and 75th percentiles, kurtosis of D map, median, 25th percentile, skewness of K map, and 75th percentile of ADC map demonstrated significant correlation with fibrosis stage (r = −0.767 to 0.339, p < 0.001 to p = 0.039). The fibrosis score was the independent variable associated with histogram parameters compared with inflammatory activity grade (p < 0.001 to p = 0.041), except the median of K map (p = 0.185). Areas under the receiver operating characteristic curve of D were larger than K and ADC maps in fibrosis staging, although no significant differences existed in pairwise comparisons (p = 0.0512 to p = 0.847). CONCLUSION: Corrected apparent diffusion of DKI histogram analysis provides added value and better diagnostic performance to detect various liver fibrosis stages compared with ADC. |
format | Online Article Text |
id | pubmed-6082766 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | The Korean Society of Radiology |
record_format | MEDLINE/PubMed |
spelling | pubmed-60827662018-09-01 Histogram Analysis of Diffusion Kurtosis Magnetic Resonance Imaging for Diagnosis of Hepatic Fibrosis Sheng, Ruo-Fan Jin, Kai-Pu Yang, Li Wang, He-Qing Liu, Hao Ji, Yuan Fu, Cai-Xia Zeng, Meng-Su Korean J Radiol Gastrointestinal Imaging OBJECTIVE: To investigate the diagnostic value of diffusion kurtosis imaging (DKI) histogram analysis in hepatic fibrosis staging. MATERIALS AND METHODS: Thirty-six rats were divided into carbon tetrachloride-induced fibrosis groups (6 rats per group for 2, 4, 6, and 8 weeks) and a control group (n = 12). MRI was performed using a 3T scanner. Histograms of DKI were obtained for corrected apparent diffusion (D), kurtosis (K) and apparent diffusion coefficient (ADC). Mean, median, skewness, kurtosis and 25th and 75th percentiles were generated and compared according to the fibrosis stage and inflammatory activity. RESULTS: A total of 35 rats were included, and 12, 5, 5, 6, and 7 rats were diagnosed as F0–F4. The mean, median, 25th and 75th percentiles, kurtosis of D map, median, 25th percentile, skewness of K map, and 75th percentile of ADC map demonstrated significant correlation with fibrosis stage (r = −0.767 to 0.339, p < 0.001 to p = 0.039). The fibrosis score was the independent variable associated with histogram parameters compared with inflammatory activity grade (p < 0.001 to p = 0.041), except the median of K map (p = 0.185). Areas under the receiver operating characteristic curve of D were larger than K and ADC maps in fibrosis staging, although no significant differences existed in pairwise comparisons (p = 0.0512 to p = 0.847). CONCLUSION: Corrected apparent diffusion of DKI histogram analysis provides added value and better diagnostic performance to detect various liver fibrosis stages compared with ADC. The Korean Society of Radiology 2018 2018-08-06 /pmc/articles/PMC6082766/ /pubmed/30174481 http://dx.doi.org/10.3348/kjr.2018.19.5.916 Text en Copyright © 2018 The Korean Society of Radiology http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Gastrointestinal Imaging Sheng, Ruo-Fan Jin, Kai-Pu Yang, Li Wang, He-Qing Liu, Hao Ji, Yuan Fu, Cai-Xia Zeng, Meng-Su Histogram Analysis of Diffusion Kurtosis Magnetic Resonance Imaging for Diagnosis of Hepatic Fibrosis |
title | Histogram Analysis of Diffusion Kurtosis Magnetic Resonance Imaging for Diagnosis of Hepatic Fibrosis |
title_full | Histogram Analysis of Diffusion Kurtosis Magnetic Resonance Imaging for Diagnosis of Hepatic Fibrosis |
title_fullStr | Histogram Analysis of Diffusion Kurtosis Magnetic Resonance Imaging for Diagnosis of Hepatic Fibrosis |
title_full_unstemmed | Histogram Analysis of Diffusion Kurtosis Magnetic Resonance Imaging for Diagnosis of Hepatic Fibrosis |
title_short | Histogram Analysis of Diffusion Kurtosis Magnetic Resonance Imaging for Diagnosis of Hepatic Fibrosis |
title_sort | histogram analysis of diffusion kurtosis magnetic resonance imaging for diagnosis of hepatic fibrosis |
topic | Gastrointestinal Imaging |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6082766/ https://www.ncbi.nlm.nih.gov/pubmed/30174481 http://dx.doi.org/10.3348/kjr.2018.19.5.916 |
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