Clinical Decision and Prognosis Prediction of Hepatocellular Carcinoma by Deep Learning

  • End date
    Dec 31, 2025
  • participants needed
  • sponsor
    Ping Liang
Updated on 16 March 2022


Developing a deep learning model based on contrast-enhanced ultrasound (CEUS) to predict the prognosis of hepatocellular carcinoma (HCC) and aid choose operation decisions


Collecting CEUS and clinical data of HCC from different institutions retrospectively.

Developing a deep learning model based on CEUS to predict the prognosis of HCC. Developing a deep learning model based on CEUS to choose a better operation (ablation or surgery) of HCC patients.

Then, validating the deep learning model in the prospective data.

Condition Hepatocellular Carcinoma, Contrast-enhanced Ultrasound, Prognosis, Surgery, Ablation
Treatment Surgery
Clinical Study IdentifierNCT05257694
SponsorPing Liang
Last Modified on16 March 2022


Yes No Not Sure

Inclusion Criteria

patients with HCC (Ia, Ib, IIa stage) China liver cancer staging who underwent resection or ablation
without macro-vascular invasion
Child-Pugh A/B grade
HCC is proved by pathological examination or two enhanced imaging
CEUS (Sonovue or Sonozoid) images are performed two weeks before the operation
CEUS images are included in at least three stages (Arterial phase, Portal phase, and Late phase)

Exclusion Criteria

postop follow-up loss or expired less than 3 months
patients with co-malignancy
poor images quality for analyzing
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