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A novel radiomics signature based on T2-weighted imaging accurately predicts hepatic inflammation in individuals with biopsy-proven nonalcoholic fatty liver disease: a derivation and independent validation study

A novel radiomics signature based on T2-weighted imaging accurately predicts hepatic inflammation in individuals with biopsy-proven nonalcoholic fatty liver disease: a derivation and independent validation study
A novel radiomics signature based on T2-weighted imaging accurately predicts hepatic inflammation in individuals with biopsy-proven nonalcoholic fatty liver disease: a derivation and independent validation study
Background: Currently, there are no effective methods for assessing hepatic inflammation without resorting to histological examination of liver tissue obtained by biopsy. T2-weighted images (T2WI) are routinely obtained from liver magnetic resonance imaging (MRI) scan sequences. We aimed to establish a radiomics signature based on T2WI (T2-RS) for assessment of hepatic inflammation in people with nonalcoholic fatty liver disease (NAFLD). Methods: A total of 203 individuals with biopsy-confirmed NAFLD from two independent Chinese cohorts with liver MRI examination were enrolled in this study. The hepatic inflammatory activity score (IAS) was calculated by the unweighted sum of the histologic scores for lobular inflammation and ballooning. One thousand and thirty-two radiomics features were extracted from the localized region of interest (ROI) in the right liver lobe of T2WI and, subsequently, selected by minimum redundancy maximum relevance and least absolute shrinkage and selection operator (LASSO) methods. The T2-RS was calculated by adding the selected features weighted by their coefficients. Results: Eighteen radiomics features from Laplacian of Gaussian, wavelet, and original images were selected for establishing T2-RS. The T2-RS value differed significantly between groups with increasing grades of hepatic inflammation (P<0.01). The T2-RS yielded an area under the receiver operating characteristic (ROC) curve (AUROC) of 0.80 [95% confidence interval (CI): 0.71–0.89] for predicting hepatic inflammation in the training cohort with excellent calibration. The AUROCs of T2-RS in the internal cohort and external validation cohorts were 0.77 (0.61–0.93) and 0.75 (0.63–0.84), respectively. Conclusions: The T2-RS derived from radiomics analysis of T2WI shows promising utility for predicting hepatic inflammation in individuals with NAFLD. Keywords: Nonalcoholic fatty liver disease (NAFLD); inflammation activity; radiomics; magnetic resonance imaging (MRI)
Nonalcoholic fatty liver disease (NAFLD), inflammation activity, magnetic resonance imaging (MRI), radiomics
2304-3881
212 - 226
Chen, Zhong-Wei
63973770-9e2a-4249-afd2-084ad0da15e8
Xiao, Huan-Ming
3fd14666-7ffe-4bed-8878-8dc1468eb96c
Ye, Xinjian
d37d0b61-114a-4af7-beb9-075fd745efea
Liu, Kun
b1a7951d-1d69-40d5-b45c-bd1b1ca3403e
Rios, Rafael S.
bcf42e0a-9f42-4fb9-bc0e-d4c09a202049
Zheng, Kenneth I.
7f0bd1be-e453-4ce3-803c-cbf15f5aec83
Jin, Yi
a42ed03d-c3dc-42d9-9809-7e354e01b4e3
Targher, Giovanni
043e0811-b389-4922-974e-22e650212c5f
Byrne, Christopher
1370b997-cead-4229-83a7-53301ed2a43c
Shi, Junping
c4942f69-87f1-468d-bdf8-ae0a9e01bb96
Yan, Zhihan
8cd41069-c3e4-4254-aa08-95c1b22837f5
Chi, Xiao-Ling
170a46a3-b181-477d-b666-c5c751971f8c
Zheng, Ming-Hua
18f81327-b5f8-482b-a863-29f9746aaf42
Chen, Zhong-Wei
63973770-9e2a-4249-afd2-084ad0da15e8
Xiao, Huan-Ming
3fd14666-7ffe-4bed-8878-8dc1468eb96c
Ye, Xinjian
d37d0b61-114a-4af7-beb9-075fd745efea
Liu, Kun
b1a7951d-1d69-40d5-b45c-bd1b1ca3403e
Rios, Rafael S.
bcf42e0a-9f42-4fb9-bc0e-d4c09a202049
Zheng, Kenneth I.
7f0bd1be-e453-4ce3-803c-cbf15f5aec83
Jin, Yi
a42ed03d-c3dc-42d9-9809-7e354e01b4e3
Targher, Giovanni
043e0811-b389-4922-974e-22e650212c5f
Byrne, Christopher
1370b997-cead-4229-83a7-53301ed2a43c
Shi, Junping
c4942f69-87f1-468d-bdf8-ae0a9e01bb96
Yan, Zhihan
8cd41069-c3e4-4254-aa08-95c1b22837f5
Chi, Xiao-Ling
170a46a3-b181-477d-b666-c5c751971f8c
Zheng, Ming-Hua
18f81327-b5f8-482b-a863-29f9746aaf42

Chen, Zhong-Wei, Xiao, Huan-Ming, Ye, Xinjian, Liu, Kun, Rios, Rafael S., Zheng, Kenneth I., Jin, Yi, Targher, Giovanni, Byrne, Christopher, Shi, Junping, Yan, Zhihan, Chi, Xiao-Ling and Zheng, Ming-Hua (2022) A novel radiomics signature based on T2-weighted imaging accurately predicts hepatic inflammation in individuals with biopsy-proven nonalcoholic fatty liver disease: a derivation and independent validation study. Hepatobiliary Surgery and Nutrition, 11 (2), 212 - 226. (doi:10.21037/hbsn-21-23).

Record type: Article

Abstract

Background: Currently, there are no effective methods for assessing hepatic inflammation without resorting to histological examination of liver tissue obtained by biopsy. T2-weighted images (T2WI) are routinely obtained from liver magnetic resonance imaging (MRI) scan sequences. We aimed to establish a radiomics signature based on T2WI (T2-RS) for assessment of hepatic inflammation in people with nonalcoholic fatty liver disease (NAFLD). Methods: A total of 203 individuals with biopsy-confirmed NAFLD from two independent Chinese cohorts with liver MRI examination were enrolled in this study. The hepatic inflammatory activity score (IAS) was calculated by the unweighted sum of the histologic scores for lobular inflammation and ballooning. One thousand and thirty-two radiomics features were extracted from the localized region of interest (ROI) in the right liver lobe of T2WI and, subsequently, selected by minimum redundancy maximum relevance and least absolute shrinkage and selection operator (LASSO) methods. The T2-RS was calculated by adding the selected features weighted by their coefficients. Results: Eighteen radiomics features from Laplacian of Gaussian, wavelet, and original images were selected for establishing T2-RS. The T2-RS value differed significantly between groups with increasing grades of hepatic inflammation (P<0.01). The T2-RS yielded an area under the receiver operating characteristic (ROC) curve (AUROC) of 0.80 [95% confidence interval (CI): 0.71–0.89] for predicting hepatic inflammation in the training cohort with excellent calibration. The AUROCs of T2-RS in the internal cohort and external validation cohorts were 0.77 (0.61–0.93) and 0.75 (0.63–0.84), respectively. Conclusions: The T2-RS derived from radiomics analysis of T2WI shows promising utility for predicting hepatic inflammation in individuals with NAFLD. Keywords: Nonalcoholic fatty liver disease (NAFLD); inflammation activity; radiomics; magnetic resonance imaging (MRI)

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Accepted/In Press date: 8 May 2021
Published date: 1 April 2022
Additional Information: 2022 Hepatobiliary Surgery and Nutrition. All rights reserved.
Keywords: Nonalcoholic fatty liver disease (NAFLD), inflammation activity, magnetic resonance imaging (MRI), radiomics

Identifiers

Local EPrints ID: 449128
URI: http://eprints.soton.ac.uk/id/eprint/449128
ISSN: 2304-3881
PURE UUID: 45c25e78-f128-48d8-a797-78d09e58a3ca
ORCID for Christopher Byrne: ORCID iD orcid.org/0000-0001-6322-7753

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Date deposited: 17 May 2021 16:34
Last modified: 21 Jun 2022 01:35

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Contributors

Author: Zhong-Wei Chen
Author: Huan-Ming Xiao
Author: Xinjian Ye
Author: Kun Liu
Author: Rafael S. Rios
Author: Kenneth I. Zheng
Author: Yi Jin
Author: Giovanni Targher
Author: Junping Shi
Author: Zhihan Yan
Author: Xiao-Ling Chi
Author: Ming-Hua Zheng

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