Artificial intelligence in contrast enhanced ultrasound: A new era for liver lesion assessment

doi:10.3748/wjg.v31.i42.112196

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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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World J Gastroenterol. Nov 14, 2025; 31(42): 112196
Published online Nov 14, 2025. doi: 10.3748/wjg.v31.i42.112196

Table 2 Liver Imaging Reporting and Data System classification system for hepatocellular carcinoma[24]

LI-RADS category	Interpretation
LR-1	Definitely benign
LR-2	Probably benign
LR-3	Intermediate probability of malignancy
LR-4	Probably HCC
LR-5	Definitely HCC
LR-M	Probably/definite malignancy non-HCC specific

HCC: Hepatocellular carcinoma; LI-RADS: Liver Imaging Reporting and Data System; LR-1 to LR-5: Liver Imaging Reporting and Data System categories 1 to 5; LR-M: Liver Imaging Reporting and Data System category M.

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Citation: Ciocalteu A, Urhut CM, Streba CT, Kamal A, Mamuleanu M, Sandulescu LD. Artificial intelligence in contrast enhanced ultrasound: A new era for liver lesion assessment. World J Gastroenterol 2025; 31(42): 112196
URL: https://www.wjgnet.com/1007-9327/full/v31/i42/112196.htm
DOI: https://dx.doi.org/10.3748/wjg.v31.i42.112196

Ciocalteu A, Urhut CM, Streba CT, Kamal A, Mamuleanu M, Sandulescu LD. Artificial intelligence in contrast enhanced ultrasound: A new era for liver lesion assessment. World J Gastroenterol 2025; 31(42): 112196 [PMID: 41278165 DOI: 10.3748/wjg.v31.i42.112196]

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