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Diffusion-weighted magnetic resonance imaging and micro-RNA in the diagnosis of hepatic fibrosis in chronic hepatitis C virus

BACKGROUND: Diffusion-weighted magnetic resonance imaging has shown promise in the detection and quantification of hepatic fibrosis. In addition, the liver has numerous endogenous micro-RNAs (miRs) that play important roles in the regulation of biological processes such as cell proliferation and hepat...

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Autores principales: Besheer, Tarek, Elalfy, Hatem, Abd El-Maksoud, Mohamed, Abd El-Razek, Ahmed, Taman, Saher, Zalata, Khaled, Elkashef, Wagdy, Zaghloul, Hossam, Elshahawy, Heba, Raafat, Doaa, Elemshaty, Wafaa, Elsayed, Eman, El-Gilany, Abdel-Hady, El-Bendary, Mahmoud
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Baishideng Publishing Group Inc 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6429339/
https://www.ncbi.nlm.nih.gov/pubmed/30918429
http://dx.doi.org/10.3748/wjg.v25.i11.1366
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author Besheer, Tarek
Elalfy, Hatem
Abd El-Maksoud, Mohamed
Abd El-Razek, Ahmed
Taman, Saher
Zalata, Khaled
Elkashef, Wagdy
Zaghloul, Hossam
Elshahawy, Heba
Raafat, Doaa
Elemshaty, Wafaa
Elsayed, Eman
El-Gilany, Abdel-Hady
El-Bendary, Mahmoud
author_facet Besheer, Tarek
Elalfy, Hatem
Abd El-Maksoud, Mohamed
Abd El-Razek, Ahmed
Taman, Saher
Zalata, Khaled
Elkashef, Wagdy
Zaghloul, Hossam
Elshahawy, Heba
Raafat, Doaa
Elemshaty, Wafaa
Elsayed, Eman
El-Gilany, Abdel-Hady
El-Bendary, Mahmoud
author_sort Besheer, Tarek
collection PubMed
description BACKGROUND: Diffusion-weighted magnetic resonance imaging has shown promise in the detection and quantification of hepatic fibrosis. In addition, the liver has numerous endogenous micro-RNAs (miRs) that play important roles in the regulation of biological processes such as cell proliferation and hepatic fibrosis. AIM: To assess diffusion-weighted magnetic resonance imaging and miRs in diagnosing and staging hepatic fibrosis in patients with chronic hepatitis C. METHODS: This prospective study included 208 patients and 82 age- and sex-matched controls who underwent diffusion-weighted magnetic resonance imaging of the abdomen, miR profiling, and liver biopsy. Pathological scoring was classified according to the METAVIR scoring system. The apparent diffusion coefficient (ADC) and miR were calculated and correlated with pathological scoring. RESULTS: The ADC value decreased significantly with the progression of fibrosis, from controls (F0) to patients with early fibrosis (F1 and F2) to those with late fibrosis (F3 and F4) (median 1.92, 1.53, and 1.25 × 10(-3) mm(2)/s, respectively) (P = 0.001). The cut-off ADC value used to differentiate patients from controls was 1.83 × 10(-3) mm(2)/s with an area under the curve (AUC) of 0.992. Combining ADC and miR-200b revealed the highest AUC (0.995) for differentiating patients from controls with an accuracy of 96.9%. The cut-off ADC used to differentiate early fibrosis from late fibrosis was 1.54 × 10(-3) mm(2)/s with an AUC of 0.866. The combination of ADC and miR-200b revealed the best AUC (0.925) for differentiating early fibrosis from late fibrosis with an accuracy of 80.2%. The ADC correlated with miR-200b (r = - 0.61, P = 0.001), miR-21 (r = - 0.62, P = 0.001), and miR-29 (r = 0.52, P = 0.001). CONCLUSION: Combining ADC and miRs offers an alternative surrogate non-invasive diagnostic tool for diagnosing and staging hepatic fibrosis in patients with chronic hepatitis C.
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spelling pubmed-64293392019-03-27 Diffusion-weighted magnetic resonance imaging and micro-RNA in the diagnosis of hepatic fibrosis in chronic hepatitis C virus Besheer, Tarek Elalfy, Hatem Abd El-Maksoud, Mohamed Abd El-Razek, Ahmed Taman, Saher Zalata, Khaled Elkashef, Wagdy Zaghloul, Hossam Elshahawy, Heba Raafat, Doaa Elemshaty, Wafaa Elsayed, Eman El-Gilany, Abdel-Hady El-Bendary, Mahmoud World J Gastroenterol Case Control Study BACKGROUND: Diffusion-weighted magnetic resonance imaging has shown promise in the detection and quantification of hepatic fibrosis. In addition, the liver has numerous endogenous micro-RNAs (miRs) that play important roles in the regulation of biological processes such as cell proliferation and hepatic fibrosis. AIM: To assess diffusion-weighted magnetic resonance imaging and miRs in diagnosing and staging hepatic fibrosis in patients with chronic hepatitis C. METHODS: This prospective study included 208 patients and 82 age- and sex-matched controls who underwent diffusion-weighted magnetic resonance imaging of the abdomen, miR profiling, and liver biopsy. Pathological scoring was classified according to the METAVIR scoring system. The apparent diffusion coefficient (ADC) and miR were calculated and correlated with pathological scoring. RESULTS: The ADC value decreased significantly with the progression of fibrosis, from controls (F0) to patients with early fibrosis (F1 and F2) to those with late fibrosis (F3 and F4) (median 1.92, 1.53, and 1.25 × 10(-3) mm(2)/s, respectively) (P = 0.001). The cut-off ADC value used to differentiate patients from controls was 1.83 × 10(-3) mm(2)/s with an area under the curve (AUC) of 0.992. Combining ADC and miR-200b revealed the highest AUC (0.995) for differentiating patients from controls with an accuracy of 96.9%. The cut-off ADC used to differentiate early fibrosis from late fibrosis was 1.54 × 10(-3) mm(2)/s with an AUC of 0.866. The combination of ADC and miR-200b revealed the best AUC (0.925) for differentiating early fibrosis from late fibrosis with an accuracy of 80.2%. The ADC correlated with miR-200b (r = - 0.61, P = 0.001), miR-21 (r = - 0.62, P = 0.001), and miR-29 (r = 0.52, P = 0.001). CONCLUSION: Combining ADC and miRs offers an alternative surrogate non-invasive diagnostic tool for diagnosing and staging hepatic fibrosis in patients with chronic hepatitis C. Baishideng Publishing Group Inc 2019-03-21 2019-03-21 /pmc/articles/PMC6429339/ /pubmed/30918429 http://dx.doi.org/10.3748/wjg.v25.i11.1366 Text en ©The Author(s) 2019. Published by Baishideng Publishing Group Inc. All rights reserved. http://creativecommons.org/licenses/by-nc/4.0/ This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial.
spellingShingle Case Control Study
Besheer, Tarek
Elalfy, Hatem
Abd El-Maksoud, Mohamed
Abd El-Razek, Ahmed
Taman, Saher
Zalata, Khaled
Elkashef, Wagdy
Zaghloul, Hossam
Elshahawy, Heba
Raafat, Doaa
Elemshaty, Wafaa
Elsayed, Eman
El-Gilany, Abdel-Hady
El-Bendary, Mahmoud
Diffusion-weighted magnetic resonance imaging and micro-RNA in the diagnosis of hepatic fibrosis in chronic hepatitis C virus
title Diffusion-weighted magnetic resonance imaging and micro-RNA in the diagnosis of hepatic fibrosis in chronic hepatitis C virus
title_full Diffusion-weighted magnetic resonance imaging and micro-RNA in the diagnosis of hepatic fibrosis in chronic hepatitis C virus
title_fullStr Diffusion-weighted magnetic resonance imaging and micro-RNA in the diagnosis of hepatic fibrosis in chronic hepatitis C virus
title_full_unstemmed Diffusion-weighted magnetic resonance imaging and micro-RNA in the diagnosis of hepatic fibrosis in chronic hepatitis C virus
title_short Diffusion-weighted magnetic resonance imaging and micro-RNA in the diagnosis of hepatic fibrosis in chronic hepatitis C virus
title_sort diffusion-weighted magnetic resonance imaging and micro-rna in the diagnosis of hepatic fibrosis in chronic hepatitis c virus
topic Case Control Study
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6429339/
https://www.ncbi.nlm.nih.gov/pubmed/30918429
http://dx.doi.org/10.3748/wjg.v25.i11.1366
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