Interpretable model based on multisequence magnetic resonance imaging radiomics for predicting the pathological grades of hepatocellular carcinomas

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World Journal of Radiology

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1949-8470

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

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World J Radiol. Dec 28, 2025; 17(12): 112911
Published online Dec 28, 2025. doi: 10.4329/wjr.v17.i12.112911

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Figure 7 Traditional nomogram based on the combined radiomics-clinical model. HBV: Hepatitis B virus; MONO: Monocyte count.

Citation: Shi Y, Zhang P, Li L, Yang HM, Li ZM, Zheng J, Yang L. Interpretable model based on multisequence magnetic resonance imaging radiomics for predicting the pathological grades of hepatocellular carcinomas. World J Radiol 2025; 17(12): 112911
URL: https://www.wjgnet.com/1949-8470/full/v17/i12/112911.htm
DOI: https://dx.doi.org/10.4329/wjr.v17.i12.112911

Shi Y, Zhang P, Li L, Yang HM, Li ZM, Zheng J, Yang L. Interpretable model based on multisequence magnetic resonance imaging radiomics for predicting the pathological grades of hepatocellular carcinomas. World J Radiol 2025; 17(12): 112911 [PMID: 41480292 DOI: 10.4329/wjr.v17.i12.112911]

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