AI model may personalize liver cancer care after surgery
NCT ID NCT07562763
First seen Jun 27, 2026 · Last updated Jul 10, 2026 · Updated 2 times
Summary
This study analyzed data from 1005 liver cancer patients to see who benefits from a treatment called TACE after surgery. Using machine learning, researchers aimed to predict individual patient outcomes. The goal is to help doctors decide whether to recommend TACE or just monitor the patient.
What this could mean
Our plain-language read of the trial. This is informational only, not medical advice or a prediction.
- Active substance
- transcatheter arterial chemoembolization (TACE)
- What this could lead to
- If successful, this could help doctors personalize treatment decisions for liver cancer patients after surgery, potentially improving outcomes.
- What could go wrong
- This is a retrospective analysis, not a controlled trial, so results may not apply to all patients. The model needs further validation before clinical use.
This is an AI summary of the original study and may miss details. Read our disclaimer.
Study facts
What this study's own registry entry says, in plain language.
- Participants
-
1,005 people
The number who actually took part.
- Started
-
Jan 2018
- Finished
-
Dec 2025
- Lead sponsor
-
A government agency
The lead sponsor is a government body.
Who can take part
This study's own entry requirements. Only the study team can say for certain whether you qualify.
Who is studied
HCC patients with high-risk factors of tumor relapse, who received adjuvant TACE or active postoperative survelliance as treatment.
- Ages
-
18 to 85 years
- Sex
-
Anyone
- Healthy volunteers
-
Not accepted
This study is not open to healthy volunteers. The entry requirements below say who it is open to.
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Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.
Inclusion Criteria: * (1) pathologic diagnosis of HCC; (2) received potentially curative hepatectomy with negative cut margins confirmed by pathology; (3) high risk of recurrence, meeting any of the following criteria: largest tumor \>5 cm, multiple lesions, poor histological differentiation (Edmondson-Steiner grade III or IV), presence of microvascular invasion or satellite nodules, (4) received adjuvant TACE or active surveillance as postoperative treatment; (5) at least one year of follow-up. Exclusion Criteria: * (1) history of other malignancies; (2) received preoperative anti-tumor treatment; (3) presence of vascular invasion or extrahepatic metastasis; (4) tumor recurred within 4 weeks postoperatively; (5) residual tumor was detected by digital subtraction angiography (DSA); (6) received other types of adjuvant therapy; (7) cases with missing data exceeding 10%.
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Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
Contacts and locations
Locations
-
The First Affiliated Hospital of USTC
Hefei, Anhu, 23000, China
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