Construction and efficacy validation of a multi-parametric contrast-enhanced ultrasound nomogram model for discriminating hepatic inflammatory lesions from malignancies

doi:10.3748/wjg.v32.i20.112559

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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. May 28, 2026; 32(20): 112559
Published online May 28, 2026. doi: 10.3748/wjg.v32.i20.112559

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Figure 3 Receiver operating characteristic curves depicting model performance across different data partitions. A: Training dataset receiver operating characteristic (ROC) analysis; B: Validation dataset ROC analysis; C: Test dataset ROC analysis. AUC: Area under the curve; SVM: Support vector machine; RF: Random forest; DT: Decision tree.

Citation: Mou SJ, Yu SM, Xiang YN, Tang B. Construction and efficacy validation of a multi-parametric contrast-enhanced ultrasound nomogram model for discriminating hepatic inflammatory lesions from malignancies. World J Gastroenterol 2026; 32(20): 112559
URL: https://www.wjgnet.com/1007-9327/full/v32/i20/112559.htm
DOI: https://dx.doi.org/10.3748/wjg.v32.i20.112559

Mou SJ, Yu SM, Xiang YN, Tang B. Construction and efficacy validation of a multi-parametric contrast-enhanced ultrasound nomogram model for discriminating hepatic inflammatory lesions from malignancies. World J Gastroenterol 2026; 32(20): 112559 [DOI: 10.3748/wjg.v32.i20.112559]

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