Prediction of Macrotrabecular-Massive Hepatocellular Carcinoma and Associated Prognosis Using Contrast-enhanced US and Clinical Features

Purpose To develop a combined contrast-enhanced US (CEUS) clinical model for the prediction of macrotrabecular-massive hepatocellular carcinoma (MTM HCC) and evaluate its diagnostic and prognostic values. Materials and Methods This secondary analysis of a prospective multicenter study (ClinicalTrials.gov: NCT04682886) included participants from three independent cohorts who underwent CEUS and surgical resection for HCC between January 2017 and December 2022. Two radiologists independently reviewed CEUS data, and the interreader agreement was evaluated. Logistic regression was performed using the training cohort to determine the predictors associated with MTM HCC, while the validation cohort was used to evaluate the diagnostic and prognostic values of the predictors. Results A total of 387 participants (mean age, 55.09 years ± 10.33 [SD]; 342 male) were included. Four clinical and CEUS features were associated with MTM HCC: early washout (before 60 seconds) (odds ratio [OR]: 8.82 [95% CI: 4.22, 18.64], <i>P</i> < .001), hypoenhancing component (OR: 4.03 [95% CI: 1.78, 9.49], <i>P</i> < .001), tumor size (OR: 1.28 [95% CI: 1.04, 1.59], <i>P</i> = .02), and serum α-fetoprotein level greater than 100 ng/mL (OR: 3.01 [95% CI: 1.41, 6.63], <i>P</i> = .004). The combined predictive model yielded an area under the receiver operating characteristic curve of 0.89 (95% CI: 0.85, 0.93) in the training cohort and 0.81 (95% CI: 0.73, 0.89) in the validation cohort. The model also achieved a negative predictive value of 94.2% (147 of 156) in the training cohort and 88.0% (66 of 75) in the validation cohort, with high prognostic accuracy for overall survival (hazard ratio: 2.26 [95% CI: 1.07, 4.79], <i>P</i> = .03). Conclusion The combined CEUS-clinical predictive model could be used to characterize the MTM HCC subtype and determine prognosis. <b>Keywords:</b> Molecular Imaging-Angiogenesis, Ultrasound-Contrast, Liver, Macrotrabecular-Massive Hepatocellular Carcinoma, Contrast-enhanced US Clinical trial registration no. NCT04682886 <i>Supplemental material is available for this article.</i> © RSNA, 2025.

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Journal
Radiology Imaging Cancer
Published
2025-07-01
DOI
https://doi.org/10.1148/rycan.240419
Citations
3
Primary Topic
Hepatocellular Carcinoma Treatment and Prognosis
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article
Field-Weighted Citation Impact
3.97
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article

Prediction of Macrotrabecular-Massive Hepatocellular Carcinoma and Associated Prognosis Using Contrast-enhanced US and Clinical Features

Ping Liang, Jingmin Zhao, Yiqiong Zhang, Jintang Liao et al.
3 citations
Radiology Imaging Cancer
Hepatocellular Carcinoma Treatment and Prognosis
3.97
article

Prediction of Macrotrabecular-Massive Hepatocellular Carcinoma and Associated Prognosis Using Contrast-enhanced US and Clinical Features

Ping Liang, Jingmin Zhao, Yiqiong Zhang, Jintang Liao, Jie Yu, Shuhong Liu, Jiapeng Wu, Wenzhen Ding, Xiaoling Yu, Sisi Liu, Yuling Wang, Xiaoyan Xie, Fan Xiao, Qinxian Zhao
article en
3 citations

Abstract

Purpose To develop a combined contrast-enhanced US (CEUS) clinical model for the prediction of macrotrabecular-massive hepatocellular carcinoma (MTM HCC) and evaluate its diagnostic and prognostic values. Materials and Methods This secondary analysis of a prospective multicenter study (ClinicalTrials.gov: NCT04682886) included participants from three independent cohorts who underwent CEUS and surgical resection for HCC between January 2017 and December 2022. Two radiologists independently reviewed CEUS data, and the interreader agreement was evaluated. Logistic regression was performed using the training cohort to determine the predictors associated with MTM HCC, while the validation cohort was used to evaluate the diagnostic and prognostic values of the predictors. Results A total of 387 participants (mean age, 55.09 years ± 10.33 [SD]; 342 male) were included. Four clinical and CEUS features were associated with MTM HCC: early washout (before 60 seconds) (odds ratio [OR]: 8.82 [95% CI: 4.22, 18.64], <i>P</i> < .001), hypoenhancing component (OR: 4.03 [95% CI: 1.78, 9.49], <i>P</i> < .001), tumor size (OR: 1.28 [95% CI: 1.04, 1.59], <i>P</i> = .02), and serum α-fetoprotein level greater than 100 ng/mL (OR: 3.01 [95% CI: 1.41, 6.63], <i>P</i> = .004). The combined predictive model yielded an area under the receiver operating characteristic curve of 0.89 (95% CI: 0.85, 0.93) in the training cohort and 0.81 (95% CI: 0.73, 0.89) in the validation cohort. The model also achieved a negative predictive value of 94.2% (147 of 156) in the training cohort and 88.0% (66 of 75) in the validation cohort, with high prognostic accuracy for overall survival (hazard ratio: 2.26 [95% CI: 1.07, 4.79], <i>P</i> = .03). Conclusion The combined CEUS-clinical predictive model could be used to characterize the MTM HCC subtype and determine prognosis. <b>Keywords:</b> Molecular Imaging-Angiogenesis, Ultrasound-Contrast, Liver, Macrotrabecular-Massive Hepatocellular Carcinoma, Contrast-enhanced US Clinical trial registration no. NCT04682886 <i>Supplemental material is available for this article.</i> © RSNA, 2025.

Radiology Imaging CancerVol. 7(4)
Central South University (CN), Sun Yat-sen University (CN), Nankai University (CN), Chinese PLA General Hospital (CN), The First Affiliated Hospital, Sun Yat-sen University (CN), Xiangya Hospital Central South University (CN)
No poverty
Openalex Percentile: Top 6%
Hepatocellular Carcinoma Treatment and Prognosis
3.97
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