AI imaging to guide early liver cancer surgery decisions
Part of Cancer, Digestive system clinical trials.
This study uses advanced imaging (ultrasound with contrast dye and MRI) combined with artificial intelligence to help doctors plan the best surgery for early-stage liver cancer. The goal is to improve treatment outcomes and help doctors choose between two surgical options: removing part of the liver or using heat to destroy the tumor.
Summary written for real people, not researchers, by Clin2.
Who can take part
- You have been diagnosed with early-stage liver cancer (Stage I or IIa) confirmed by imaging or biopsy
- Your liver function is relatively preserved (Child-Pugh Class A or B)
- Your cancer is small: either one tumor ≤5 cm across, or 2-3 tumors with the largest ≤3 cm
- You are planning to have liver surgery (either surgical removal or heat ablation)
- You have had MRI and/or contrast ultrasound imaging done within the month before surgery
- You do not have cancer spread outside the liver or another type of cancer
Quick eligibility check
Answer a few plain-language questions, based on this study's own requirements, to get a preliminary sense of fit.
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