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.
Study Type
OBSERVATIONAL
Enrollment
1
hepatectomy
image-guided ablation
Chinese PLA General Hospital
Beijing, Beijing Municipality, China
RECRUITINGRecurrence-free survival (RFS)
Recurrence-free survival is defined as the time elapsed between a predefined point in time (the date of diagnosis, randomization or the intervention) and any recurrence (local, regional, or distant) or death due to any cause (death is an event).
Time frame: Immediately after the surgery or ablation
Recurrence
Recurrence included local tumor progression, regional recurrence, or distant recurrence.
Time frame: Immediately after the surgery or ablation
This platform is for informational purposes only and does not constitute medical advice. Always consult a qualified healthcare professional.