Computed tomography-based transformer model for non-invasive prediction of portal venous pressure in chronic liver diseases

doi:10.3748/wjg.121435

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World Journal of Gastroenterology

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1007-9327

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

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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 Gastroenterol. Dec 21, 2026; 32(47): 121435
Published online Dec 21, 2026. doi: 10.3748/wjg.121435

Table 2 Overall prediction accuracy of the model at different hepatic venous pressure gradient classification intervals

	Binary classification interval					Ternary classification interval					Quinary classification interval
	Set 1	Set 2	Set 3	Set 4	Set 5	Set 1	Set 2	Set 3	Set 4	Set 5	Set 1	Set 2	Set 3	Set 4	Set 5
Training set	91.8	93.1	91.9	94.6	95.4	88.1	87.3	85.3	91.4	94.0	73.1	71.9	68.8	77.4	85.0
Internal testing set	89.9	92.3	89.1	93.9	92.4	85.2	79.7	84.1	82.8	87.6	62.9	63.7	64.5	65.7	68.6
Temporally independent validation set	90.4	91.3	88.5	92.3	91.3	80.8	75.0	82.7	78.8	84.6	60.6	61.5	64.4	63.5	70.2

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Citation: Guo X, Tong H, Cai WQ, He JY, Han TR, Qian SJ, Quan X, Li Y, Wei B, Wang ZD, Tai Y, Guo DQ, Wu H. Computed tomography-based transformer model for non-invasive prediction of portal venous pressure in chronic liver diseases. World J Gastroenterol 2026; 32(47): 121435
URL: https://www.wjgnet.com/1007-9327/full/v32/i47/121435.htm
DOI: https://dx.doi.org/10.3748/wjg.121435

Guo X, Tong H, Cai WQ, He JY, Han TR, Qian SJ, Quan X, Li Y, Wei B, Wang ZD, Tai Y, Guo DQ, Wu H. Computed tomography-based transformer model for non-invasive prediction of portal venous pressure in chronic liver diseases. World J Gastroenterol 2026; 32(47): 121435 [DOI: 10.3748/wjg.121435]

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