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

doi:10.4329/wjr.v17.i12.112911

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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 2 Target volume sketch and 3D volumetric regions of interest view. A: The volumetric regions of interest were obtained by manually sketching the region of interest layer by layer on the fat-suppressed T2-weighted imaging image; B: The 3D view was automatically generated from the volumetric regions of interest.

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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