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Assessment of Diffusion Tensor Imaging Parameters of Hepatic Parenchyma for Differentiation of Biliary Atresia from Alagille Syndrome
OBJECTIVE: To assess diffusion tensor imaging (DTI) parameters of the hepatic parenchyma for the differentiation of biliary atresia (BA) from Alagille syndrome (ALGS). MATERIALS AND METHODS: This study included 32 infants with BA and 12 infants with ALGS groups who had undergone DTI. Fractional anis...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Korean Society of Radiology
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7689146/ https://www.ncbi.nlm.nih.gov/pubmed/32729270 http://dx.doi.org/10.3348/kjr.2019.0824 |
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author | Abdel Razek, Ahmed Abdel Khalek Abdalla, Ahmed Elfar, Reda Ashmalla, Germeen Albair Ali, Khadiga Barakat, Tarik |
author_facet | Abdel Razek, Ahmed Abdel Khalek Abdalla, Ahmed Elfar, Reda Ashmalla, Germeen Albair Ali, Khadiga Barakat, Tarik |
author_sort | Abdel Razek, Ahmed Abdel Khalek |
collection | PubMed |
description | OBJECTIVE: To assess diffusion tensor imaging (DTI) parameters of the hepatic parenchyma for the differentiation of biliary atresia (BA) from Alagille syndrome (ALGS). MATERIALS AND METHODS: This study included 32 infants with BA and 12 infants with ALGS groups who had undergone DTI. Fractional anisotropy (FA) and mean diffusivity (MD) of the liver were calculated twice by two separate readers and hepatic tissue was biopsied. Statistical analyses were performed to determine the mean values of the two groups. The optimum cut-off values for DTI differentiation of BA and ALGS were calculated by receiver operating characteristic (ROC) analysis. RESULTS: The mean hepatic MD of BA (1.56 ± 0.20 and 1.63 ± 0.2 × 10(−3) mm(2)/s) was significantly lower than that of ALGS (1.84 ± 0.04 and 1.79 ± 0.03 × 10(−3) mm(2)/s) for both readers (r = 0.8, p = 0.001). Hepatic MD values of 1.77 and 1.79 × 10(−3) mm(2)/s as a threshold for differentiating BA from ALGS showed accuracies of 82 and 79% and area under the curves (AUCs) of 0.90 and 0.91 for both readers, respectively. The mean hepatic FA of BA (0.34 ± 0.04 and 0.36 ± 0.04) was significantly higher (p = 0.01, 0.02) than that of ALGS (0.30 ± 0.06 and 0.31 ± 0.05) for both readers (r = 0.80, p = 0.001). FA values of 0.30 and 0.28 as a threshold for differentiating BA from ALGS showed accuracies of 75% and 82% and AUCs of 0.69 and 0.68 for both readers, respectively. CONCLUSION: Hepatic DTI parameters are promising quantitative imaging parameters for the detection of hepatic parenchymal changes in BA and ALGS and may be an additional noninvasive imaging tool for the differentiation of BA from ALGS. |
format | Online Article Text |
id | pubmed-7689146 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | The Korean Society of Radiology |
record_format | MEDLINE/PubMed |
spelling | pubmed-76891462020-12-03 Assessment of Diffusion Tensor Imaging Parameters of Hepatic Parenchyma for Differentiation of Biliary Atresia from Alagille Syndrome Abdel Razek, Ahmed Abdel Khalek Abdalla, Ahmed Elfar, Reda Ashmalla, Germeen Albair Ali, Khadiga Barakat, Tarik Korean J Radiol Pediatric Imaging OBJECTIVE: To assess diffusion tensor imaging (DTI) parameters of the hepatic parenchyma for the differentiation of biliary atresia (BA) from Alagille syndrome (ALGS). MATERIALS AND METHODS: This study included 32 infants with BA and 12 infants with ALGS groups who had undergone DTI. Fractional anisotropy (FA) and mean diffusivity (MD) of the liver were calculated twice by two separate readers and hepatic tissue was biopsied. Statistical analyses were performed to determine the mean values of the two groups. The optimum cut-off values for DTI differentiation of BA and ALGS were calculated by receiver operating characteristic (ROC) analysis. RESULTS: The mean hepatic MD of BA (1.56 ± 0.20 and 1.63 ± 0.2 × 10(−3) mm(2)/s) was significantly lower than that of ALGS (1.84 ± 0.04 and 1.79 ± 0.03 × 10(−3) mm(2)/s) for both readers (r = 0.8, p = 0.001). Hepatic MD values of 1.77 and 1.79 × 10(−3) mm(2)/s as a threshold for differentiating BA from ALGS showed accuracies of 82 and 79% and area under the curves (AUCs) of 0.90 and 0.91 for both readers, respectively. The mean hepatic FA of BA (0.34 ± 0.04 and 0.36 ± 0.04) was significantly higher (p = 0.01, 0.02) than that of ALGS (0.30 ± 0.06 and 0.31 ± 0.05) for both readers (r = 0.80, p = 0.001). FA values of 0.30 and 0.28 as a threshold for differentiating BA from ALGS showed accuracies of 75% and 82% and AUCs of 0.69 and 0.68 for both readers, respectively. CONCLUSION: Hepatic DTI parameters are promising quantitative imaging parameters for the detection of hepatic parenchymal changes in BA and ALGS and may be an additional noninvasive imaging tool for the differentiation of BA from ALGS. The Korean Society of Radiology 2020-12 2020-07-27 /pmc/articles/PMC7689146/ /pubmed/32729270 http://dx.doi.org/10.3348/kjr.2019.0824 Text en Copyright © 2020 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 | Pediatric Imaging Abdel Razek, Ahmed Abdel Khalek Abdalla, Ahmed Elfar, Reda Ashmalla, Germeen Albair Ali, Khadiga Barakat, Tarik Assessment of Diffusion Tensor Imaging Parameters of Hepatic Parenchyma for Differentiation of Biliary Atresia from Alagille Syndrome |
title | Assessment of Diffusion Tensor Imaging Parameters of Hepatic Parenchyma for Differentiation of Biliary Atresia from Alagille Syndrome |
title_full | Assessment of Diffusion Tensor Imaging Parameters of Hepatic Parenchyma for Differentiation of Biliary Atresia from Alagille Syndrome |
title_fullStr | Assessment of Diffusion Tensor Imaging Parameters of Hepatic Parenchyma for Differentiation of Biliary Atresia from Alagille Syndrome |
title_full_unstemmed | Assessment of Diffusion Tensor Imaging Parameters of Hepatic Parenchyma for Differentiation of Biliary Atresia from Alagille Syndrome |
title_short | Assessment of Diffusion Tensor Imaging Parameters of Hepatic Parenchyma for Differentiation of Biliary Atresia from Alagille Syndrome |
title_sort | assessment of diffusion tensor imaging parameters of hepatic parenchyma for differentiation of biliary atresia from alagille syndrome |
topic | Pediatric Imaging |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7689146/ https://www.ncbi.nlm.nih.gov/pubmed/32729270 http://dx.doi.org/10.3348/kjr.2019.0824 |
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