Preoperative prediction of microvascular invasion in hepatocellular carcinoma ≤5 cm based on contrast-enhanced ultrasound features and LI-RADS categorization: a multicenter study - Takeaways - MDSpire

Preoperative prediction of microvascular invasion in hepatocellular carcinoma ≤5 cm based on contrast-enhanced ultrasound features and LI-RADS categorization: a multicenter study

  • By

  • Qian Zhang

  • Chuan Pang

  • Zhilong Liu

  • Ruining Wang

  • Wenwen Fan

  • Yufang Zhao

  • Yanjing Zhang

  • Ping Liang

  • Liping Liu

  • July 16, 2026

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  • 1

    The study investigates the predictive value of CEUS features and LI-RADS for microvascular invasion in HCC ≤5 cm.

  • 2

    A total of 261 patients were enrolled, with 85 (32.57%) found to be MVI-positive.

  • 3

    Significant predictors of MVI identified include AFP, tumor margin, enhanced homogeneity, mosaic pattern, and LI-RADS.

  • 4

    The combined predictive model achieved an AUC of 0.880 in the derivation cohort and 0.832 in the validation cohort.

  • 5

    The study aims to enhance noninvasive preoperative assessment of MVI risk, aiding in personalized treatment strategies for HCC patients.

Original Source(s)

Preoperative prediction of microvascular invasion in hepatocellular carcinoma ≤5 cm based on contrast-enhanced ultrasound features and LI-RADS categorization: a multicenter study

  • by Qian Zhang, Chuan Pang, Zhilong Liu, Ruining Wang, Wenwen Fan, Yufang Zhao, Yanjing Zhang, Ping Liang, Liping Liu

  • July 16, 2026

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