Interpretable radiomics model based on magnetic resonance imaging to predict responses to transarterial chemoembolization for hepatocellular carcinoma

doi:10.4329/wjr.v18.i2.116486

Advanced Search

BPG is committed to discovery and dissemination of knowledge

Home / Archive / Volume 18, Issue 2

This Article

(44)

(52)

(0)

(11)

(680)

Peer-Review Report of This Article

CrossCheck and Google Search of This Article

Academic Rules and Norms of This Article

Citation of this article

Corresponding Author of This Article

Research Domain of This Article

Article-Type of This Article

Open-Access Policy of This Article

Times Cited Counts in Google of This Article

Journal Information of This Article

Publication Name

World Journal of Radiology

ISSN

1949-8470

Publisher of This Article

Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

Retrospective Study

©Author(s) (or their employer(s)) 2026. No commercial re-use. See Permissions. Published by Baishideng Publishing Group Inc.

World J Radiol. Feb 28, 2026; 18(2): 116486
Published online Feb 28, 2026. doi: 10.4329/wjr.v18.i2.116486

Full Size Figure Download Figure

Figure 5 SHapley Additive exPlanations analysis plot of each predictor in the radiomic-clinical model. A: SHapley Additive exPlanations (SHAP) summary plot shows the distribution of the SHAP values of each predictor in all the samples; B: The SHAP bar plot shows the importance of each predictor in predicting early responses to transarterial chemoembolization (TACE); C: SHAP waterfall plot showing the predicted values for individual samples with the predicted outcome of non-response to TACE; D: SHAP waterfall plot showing the predicted values for individual samples with the predicted outcome of early response to TACE. AP: Arterial phase; PVP: Portal venous phase; FS-T2WI: Fat-saturation T2-weighted imaging; SHAP: SHapley Additive exPlanations.

Citation: Mao Q, Zhang P, Zhou MT, Shi Y, Min XL, Xu H, Yang L, Zhang XM. Interpretable radiomics model based on magnetic resonance imaging to predict responses to transarterial chemoembolization for hepatocellular carcinoma. World J Radiol 2026; 18(2): 116486
URL: https://www.wjgnet.com/1949-8470/full/v18/i2/116486.htm
DOI: https://dx.doi.org/10.4329/wjr.v18.i2.116486

Mao Q, Zhang P, Zhou MT, Shi Y, Min XL, Xu H, Yang L, Zhang XM. Interpretable radiomics model based on magnetic resonance imaging to predict responses to transarterial chemoembolization for hepatocellular carcinoma. World J Radiol 2026; 18(2): 116486 [PMID: 41809705 DOI: 10.4329/wjr.v18.i2.116486]

All content on this site: Copyright © 1993-2026 Baishideng Publishing Group Inc, its licensors, and contributors. All rights are reserved, including those for text and data mining, AI training, and similar technologies. For all open access content, the relevant licensing terms apply.