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MRI texture analysis for differentiation of malignant and benign hepatocellular tumors in the non-cirrhotic liver

PURPOSE: To find potentially diagnostic texture analysis (TA) features and to evaluate the diagnostic accuracy of two-dimensional (2D) magnetic resonance (MR) TA for differentiation between hepatocellular carcinoma (HCC) and benign hepatocellular tumors in the non-cirrhotic liver in an exploratory M...

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Autores principales: Stocker, Daniel, Marquez, Herman P., Wagner, Matthias W., Raptis, Dimitri A., Clavien, Pierre-Alain, Boss, Andreas, Fischer, Michael A., Wurnig, Moritz C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6286882/
https://www.ncbi.nlm.nih.gov/pubmed/30761374
http://dx.doi.org/10.1016/j.heliyon.2018.e00987
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author Stocker, Daniel
Marquez, Herman P.
Wagner, Matthias W.
Raptis, Dimitri A.
Clavien, Pierre-Alain
Boss, Andreas
Fischer, Michael A.
Wurnig, Moritz C.
author_facet Stocker, Daniel
Marquez, Herman P.
Wagner, Matthias W.
Raptis, Dimitri A.
Clavien, Pierre-Alain
Boss, Andreas
Fischer, Michael A.
Wurnig, Moritz C.
author_sort Stocker, Daniel
collection PubMed
description PURPOSE: To find potentially diagnostic texture analysis (TA) features and to evaluate the diagnostic accuracy of two-dimensional (2D) magnetic resonance (MR) TA for differentiation between hepatocellular carcinoma (HCC) and benign hepatocellular tumors in the non-cirrhotic liver in an exploratory MR-study. MATERIALS AND METHODS: 108 non-cirrhotic patients (62 female; 41.5 ± 18.3 years) undergoing preoperative contrast-enhanced MRI were retrospectively included in this multi-center-study. TA including gray-level histogram, co-occurrence and run-length matrix features (total 19 features) was performed by two independent readers. Native fat-saturated-T1w and T2w as well as arterial and portal-venous post contrast-enhanced 2D-image-slices were assessed. Conventional reading was performed by two separate independent readers. Differences in TA features between HCC and benign lesions were investigated using independent sample t-tests. Logistic regression analysis was performed to obtain the optimal number/combination of TA-features and diagnostic accuracy of TA analysis. Sensitivity and specificity of the better performing radiologist were compared to TA analysis. RESULTS: The highest number of significantly differing TA-features (n = 5) was found using the arterial-phase images including one gray-level histogram (skewness, p = 0.018) and four run-length matrix features (all, p < 0.02). The optimal binary logistic regression model for TA-features of the arterial-phase images contained 13 parameters with an accuracy of 84.5% (sensitivity 84.1%, specificity 84.9%) and area-under-the-curve of 0.92 (95%-confidence-interval 0.85–0.98) for diagnosis of HCC. Conventional reading yielded a significantly lower sensitivity (63.6%, p = 0.027) and no significant difference in specificity (94.6%, p = 0.289) at best. CONCLUSION: 2D-TA of MR images is a feasible objective method that may help to distinguish HCC from benign hepatocellular tumors in the non-cirrhotic liver. Most promising results were found in TA features in the arterial phase images.
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spelling pubmed-62868822019-02-13 MRI texture analysis for differentiation of malignant and benign hepatocellular tumors in the non-cirrhotic liver Stocker, Daniel Marquez, Herman P. Wagner, Matthias W. Raptis, Dimitri A. Clavien, Pierre-Alain Boss, Andreas Fischer, Michael A. Wurnig, Moritz C. Heliyon Article PURPOSE: To find potentially diagnostic texture analysis (TA) features and to evaluate the diagnostic accuracy of two-dimensional (2D) magnetic resonance (MR) TA for differentiation between hepatocellular carcinoma (HCC) and benign hepatocellular tumors in the non-cirrhotic liver in an exploratory MR-study. MATERIALS AND METHODS: 108 non-cirrhotic patients (62 female; 41.5 ± 18.3 years) undergoing preoperative contrast-enhanced MRI were retrospectively included in this multi-center-study. TA including gray-level histogram, co-occurrence and run-length matrix features (total 19 features) was performed by two independent readers. Native fat-saturated-T1w and T2w as well as arterial and portal-venous post contrast-enhanced 2D-image-slices were assessed. Conventional reading was performed by two separate independent readers. Differences in TA features between HCC and benign lesions were investigated using independent sample t-tests. Logistic regression analysis was performed to obtain the optimal number/combination of TA-features and diagnostic accuracy of TA analysis. Sensitivity and specificity of the better performing radiologist were compared to TA analysis. RESULTS: The highest number of significantly differing TA-features (n = 5) was found using the arterial-phase images including one gray-level histogram (skewness, p = 0.018) and four run-length matrix features (all, p < 0.02). The optimal binary logistic regression model for TA-features of the arterial-phase images contained 13 parameters with an accuracy of 84.5% (sensitivity 84.1%, specificity 84.9%) and area-under-the-curve of 0.92 (95%-confidence-interval 0.85–0.98) for diagnosis of HCC. Conventional reading yielded a significantly lower sensitivity (63.6%, p = 0.027) and no significant difference in specificity (94.6%, p = 0.289) at best. CONCLUSION: 2D-TA of MR images is a feasible objective method that may help to distinguish HCC from benign hepatocellular tumors in the non-cirrhotic liver. Most promising results were found in TA features in the arterial phase images. Elsevier 2018-11-30 /pmc/articles/PMC6286882/ /pubmed/30761374 http://dx.doi.org/10.1016/j.heliyon.2018.e00987 Text en © 2018 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Article
Stocker, Daniel
Marquez, Herman P.
Wagner, Matthias W.
Raptis, Dimitri A.
Clavien, Pierre-Alain
Boss, Andreas
Fischer, Michael A.
Wurnig, Moritz C.
MRI texture analysis for differentiation of malignant and benign hepatocellular tumors in the non-cirrhotic liver
title MRI texture analysis for differentiation of malignant and benign hepatocellular tumors in the non-cirrhotic liver
title_full MRI texture analysis for differentiation of malignant and benign hepatocellular tumors in the non-cirrhotic liver
title_fullStr MRI texture analysis for differentiation of malignant and benign hepatocellular tumors in the non-cirrhotic liver
title_full_unstemmed MRI texture analysis for differentiation of malignant and benign hepatocellular tumors in the non-cirrhotic liver
title_short MRI texture analysis for differentiation of malignant and benign hepatocellular tumors in the non-cirrhotic liver
title_sort mri texture analysis for differentiation of malignant and benign hepatocellular tumors in the non-cirrhotic liver
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6286882/
https://www.ncbi.nlm.nih.gov/pubmed/30761374
http://dx.doi.org/10.1016/j.heliyon.2018.e00987
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