Cargando…
Differentiation of Small Hepatocellular Carcinoma From Dysplastic Nodules in Cirrhotic Liver: Texture Analysis Based on MRI Improved Performance in Comparison Over Gadoxetic Acid-Enhanced MR and Diffusion-Weighted Imaging
Background: Accurate characterization of small (3 cm) hepatocellular carcinoma (sHCC) and dysplastic nodules (DNs) in cirrhotic liver is challenging. We aimed to investigate whether texture analysis (TA) based on T2-weighted images (T2WI) is superior to qualitative diagnosis using gadoxetic acid-enh...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6966306/ https://www.ncbi.nlm.nih.gov/pubmed/31998629 http://dx.doi.org/10.3389/fonc.2019.01382 |
_version_ | 1783488711693959168 |
---|---|
author | Zhong, Xi Tang, Hongsheng Lu, Bingui You, Jia Piao, Jinsong Yang, Peiyu Li, Jiansheng |
author_facet | Zhong, Xi Tang, Hongsheng Lu, Bingui You, Jia Piao, Jinsong Yang, Peiyu Li, Jiansheng |
author_sort | Zhong, Xi |
collection | PubMed |
description | Background: Accurate characterization of small (3 cm) hepatocellular carcinoma (sHCC) and dysplastic nodules (DNs) in cirrhotic liver is challenging. We aimed to investigate whether texture analysis (TA) based on T2-weighted images (T2WI) is superior to qualitative diagnosis using gadoxetic acid-enhanced MR imaging (Gd-EOB-MRI) and diffusion-weighted imaging (DWI) for distinguishing sHCC from DNs in cirrhosis. Materials and methods: Sixty-eight patients with 73 liver nodules (46 HCCs, 27 DNs) pathologically confirmed by operation were included. For imaging diagnosis, three sets of images were reviewed by two experienced radiologists in consensus: a Gd-EOB-MRI set, a DWI set, and a combined set (combination of Gd-EOB-MRI and DWI). For TA, 279 texture features resulting from T2WI were extracted for each lesion. The performance of each approach was evaluated by a receiver operating characteristic analysis. The area under the receiver operating characteristic curve (A(z)), sensitivity, specificity, and accuracy were determined. Results: The performance of TA (A(z) = 0.96) was significantly higher than that of imaging diagnosis using Gd-EOB-MRI set (A(z) = 0.86) or DWI set (A(z) = 0.80) alone in differentiation of sHCC from DNs (P = 0.008 and 0.025, respectively). The combination of Gd-EOB-MRI and DWI showed a greater sensitivity (95.6%) but reduced specificity (66.7%). The specificity of TA (92.6%) was significantly higher than that of the combined set (P < 0.001), but no significant difference was observed in sensitivity (97.8 vs. 95.6%, P = 0.559). Conclusion: TA-based T2WI showed a better classification performance than that of qualitative diagnosis using Gd-EOB-MRI and DW imaging in differentiation of sHCCs from DNs in cirrhotic liver. TA-based MRI may become a potential imaging biomarker for the early differentiation HCCs from DNs in cirrhosis. |
format | Online Article Text |
id | pubmed-6966306 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-69663062020-01-29 Differentiation of Small Hepatocellular Carcinoma From Dysplastic Nodules in Cirrhotic Liver: Texture Analysis Based on MRI Improved Performance in Comparison Over Gadoxetic Acid-Enhanced MR and Diffusion-Weighted Imaging Zhong, Xi Tang, Hongsheng Lu, Bingui You, Jia Piao, Jinsong Yang, Peiyu Li, Jiansheng Front Oncol Oncology Background: Accurate characterization of small (3 cm) hepatocellular carcinoma (sHCC) and dysplastic nodules (DNs) in cirrhotic liver is challenging. We aimed to investigate whether texture analysis (TA) based on T2-weighted images (T2WI) is superior to qualitative diagnosis using gadoxetic acid-enhanced MR imaging (Gd-EOB-MRI) and diffusion-weighted imaging (DWI) for distinguishing sHCC from DNs in cirrhosis. Materials and methods: Sixty-eight patients with 73 liver nodules (46 HCCs, 27 DNs) pathologically confirmed by operation were included. For imaging diagnosis, three sets of images were reviewed by two experienced radiologists in consensus: a Gd-EOB-MRI set, a DWI set, and a combined set (combination of Gd-EOB-MRI and DWI). For TA, 279 texture features resulting from T2WI were extracted for each lesion. The performance of each approach was evaluated by a receiver operating characteristic analysis. The area under the receiver operating characteristic curve (A(z)), sensitivity, specificity, and accuracy were determined. Results: The performance of TA (A(z) = 0.96) was significantly higher than that of imaging diagnosis using Gd-EOB-MRI set (A(z) = 0.86) or DWI set (A(z) = 0.80) alone in differentiation of sHCC from DNs (P = 0.008 and 0.025, respectively). The combination of Gd-EOB-MRI and DWI showed a greater sensitivity (95.6%) but reduced specificity (66.7%). The specificity of TA (92.6%) was significantly higher than that of the combined set (P < 0.001), but no significant difference was observed in sensitivity (97.8 vs. 95.6%, P = 0.559). Conclusion: TA-based T2WI showed a better classification performance than that of qualitative diagnosis using Gd-EOB-MRI and DW imaging in differentiation of sHCCs from DNs in cirrhotic liver. TA-based MRI may become a potential imaging biomarker for the early differentiation HCCs from DNs in cirrhosis. Frontiers Media S.A. 2020-01-10 /pmc/articles/PMC6966306/ /pubmed/31998629 http://dx.doi.org/10.3389/fonc.2019.01382 Text en Copyright © 2020 Zhong, Tang, Lu, You, Piao, Yang and Li. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Oncology Zhong, Xi Tang, Hongsheng Lu, Bingui You, Jia Piao, Jinsong Yang, Peiyu Li, Jiansheng Differentiation of Small Hepatocellular Carcinoma From Dysplastic Nodules in Cirrhotic Liver: Texture Analysis Based on MRI Improved Performance in Comparison Over Gadoxetic Acid-Enhanced MR and Diffusion-Weighted Imaging |
title | Differentiation of Small Hepatocellular Carcinoma From Dysplastic Nodules in Cirrhotic Liver: Texture Analysis Based on MRI Improved Performance in Comparison Over Gadoxetic Acid-Enhanced MR and Diffusion-Weighted Imaging |
title_full | Differentiation of Small Hepatocellular Carcinoma From Dysplastic Nodules in Cirrhotic Liver: Texture Analysis Based on MRI Improved Performance in Comparison Over Gadoxetic Acid-Enhanced MR and Diffusion-Weighted Imaging |
title_fullStr | Differentiation of Small Hepatocellular Carcinoma From Dysplastic Nodules in Cirrhotic Liver: Texture Analysis Based on MRI Improved Performance in Comparison Over Gadoxetic Acid-Enhanced MR and Diffusion-Weighted Imaging |
title_full_unstemmed | Differentiation of Small Hepatocellular Carcinoma From Dysplastic Nodules in Cirrhotic Liver: Texture Analysis Based on MRI Improved Performance in Comparison Over Gadoxetic Acid-Enhanced MR and Diffusion-Weighted Imaging |
title_short | Differentiation of Small Hepatocellular Carcinoma From Dysplastic Nodules in Cirrhotic Liver: Texture Analysis Based on MRI Improved Performance in Comparison Over Gadoxetic Acid-Enhanced MR and Diffusion-Weighted Imaging |
title_sort | differentiation of small hepatocellular carcinoma from dysplastic nodules in cirrhotic liver: texture analysis based on mri improved performance in comparison over gadoxetic acid-enhanced mr and diffusion-weighted imaging |
topic | Oncology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6966306/ https://www.ncbi.nlm.nih.gov/pubmed/31998629 http://dx.doi.org/10.3389/fonc.2019.01382 |
work_keys_str_mv | AT zhongxi differentiationofsmallhepatocellularcarcinomafromdysplasticnodulesincirrhoticlivertextureanalysisbasedonmriimprovedperformanceincomparisonovergadoxeticacidenhancedmranddiffusionweightedimaging AT tanghongsheng differentiationofsmallhepatocellularcarcinomafromdysplasticnodulesincirrhoticlivertextureanalysisbasedonmriimprovedperformanceincomparisonovergadoxeticacidenhancedmranddiffusionweightedimaging AT lubingui differentiationofsmallhepatocellularcarcinomafromdysplasticnodulesincirrhoticlivertextureanalysisbasedonmriimprovedperformanceincomparisonovergadoxeticacidenhancedmranddiffusionweightedimaging AT youjia differentiationofsmallhepatocellularcarcinomafromdysplasticnodulesincirrhoticlivertextureanalysisbasedonmriimprovedperformanceincomparisonovergadoxeticacidenhancedmranddiffusionweightedimaging AT piaojinsong differentiationofsmallhepatocellularcarcinomafromdysplasticnodulesincirrhoticlivertextureanalysisbasedonmriimprovedperformanceincomparisonovergadoxeticacidenhancedmranddiffusionweightedimaging AT yangpeiyu differentiationofsmallhepatocellularcarcinomafromdysplasticnodulesincirrhoticlivertextureanalysisbasedonmriimprovedperformanceincomparisonovergadoxeticacidenhancedmranddiffusionweightedimaging AT lijiansheng differentiationofsmallhepatocellularcarcinomafromdysplasticnodulesincirrhoticlivertextureanalysisbasedonmriimprovedperformanceincomparisonovergadoxeticacidenhancedmranddiffusionweightedimaging |