Computed tomography radiomics-based machine learning nomogram for preoperative prediction of glypican-3 expression in hepatocellular carcinoma

doi:10.4329/wjr.121161

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World Journal of Radiology

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1949-8470

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Copyright: ©Author(s) 2026. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial (CC BY-NC 4.0) license. No commercial re-use. See permissions. Published by Baishideng Publishing Group Inc.

World J Radiol. Jul 28, 2026; 18(7): 121161
Published online Jul 28, 2026. doi: 10.4329/wjr.121161

Table 2 Final selected computed tomography radiomics features

Feature category and count	Radiomics feature name
Shape features (2)	original _ shape _ Sphericity _ P
Shape features (2)	original _ shape _ Sphericity _ V
First-order features (3)	wavelet _ HLH _ firstorder _ Median _ P
	wavelet _ HHL _ firstorder _ Median _ V
	wavelet _ HHH _ firstorder _ Mean _ N
Texture features (5)	Wavelet _ LHL _ gldm _ DependenceEntropy _ V
	wavelet _ HLH _ glszm _ LowGrayLevelZoneEmphasis _ A
	wavelet _ LLH _ glszm _ GrayLevelNonUniformityNormalized _ V
	Wavelet _ LHL _ glcm _ ldn _ N
	wavelet _ HHH _ glszm _ ZoneEntropy _ N

N: Non-contrast phase; A: Arterial phase; P: Portal venous phase; V: Delayed phase.

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Citation: Zheng ZH, Wu CH, Hu JB, Xu JF, Zi XY, Chen JH, He Q, Dong WY. Computed tomography radiomics-based machine learning nomogram for preoperative prediction of glypican-3 expression in hepatocellular carcinoma. World J Radiol 2026; 18(7): 121161
URL: https://www.wjgnet.com/1949-8470/full/v18/i7/121161.htm
DOI: https://dx.doi.org/10.4329/wjr.121161

Zheng ZH, Wu CH, Hu JB, Xu JF, Zi XY, Chen JH, He Q, Dong WY. Computed tomography radiomics-based machine learning nomogram for preoperative prediction of glypican-3 expression in hepatocellular carcinoma. World J Radiol 2026; 18(7): 121161 [PMID: 42534435 DOI: 10.4329/wjr.121161]

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