Clin2
NCT07170345Possibly a fitRecruiting

AI to detect hidden spread in liver cancer from scans

Hepatocellular Carcinoma (HCC)Microvascular Invasion (MVI)

Part of Cancer, Digestive system clinical trials.

This trial uses a computer program to help doctors find signs of microscopic tumor spread in blood vessels (microvascular invasion) from liver cancer images. It aims to improve treatment planning for patients who are having surgery.

Summary written for real people, not researchers, by Clin2.

Phase
N/A
Enrollment
400 people
Ages
18 years to 18 years
Study type
Observational

Who can take part

  • You are 18 or older.
  • You have been diagnosed with hepatocellular carcinoma (a type of liver cancer).
  • You are eligible for surgery to remove the tumor or a liver transplant.
  • You had a CT or MRI scan within one month before your surgery.
  • The tumor has not spread to major blood vessels, bile ducts, or other parts of the body.
  • You have not had any prior cancer treatment for this liver tumor.

View the official record on ClinicalTrials.gov

Quick eligibility check

Answer a few plain-language questions, based on this study's own requirements, to get a preliminary sense of fit.

Similar studies

Other trials that look related to this one.

NCT07538882Recruiting
AI-Assisted Staging and Treatment Planning for Liver Cancer

This trial uses artificial intelligence to help doctors better stage (classify the severity of) and plan treatment for hepatocellular carcinoma, a type of primary liver cancer. Researchers will collect your clinical information and imaging to see if AI can improve decision-making about your care.

Beijing, Changping
NCT07059936Recruiting
AI and scans to predict immunotherapy response in liver cancer

This study uses artificial intelligence (AI) to analyze your CT or MRI scans and help predict how well immunotherapy might work for your liver cancer. The goal is to find better ways to match you with the right treatment and improve your outcomes.

Wuhan, Hubei
NCT07768085Not yet recruiting
Computer-assisted reading for liver lesions on ct scans

This study uses a computer program to help doctors look for cancer in the liver on CT scans. It aims to see if the AI tool makes reading scans faster and more accurate, which could help catch issues sooner.

Shenyang, Liaoning
NCT07732504Not yet recruiting
AI-guided monitoring to detect and treat liver cancer recurrence early

This study tests whether an artificial intelligence system can help doctors find and treat liver cancer if it comes back after your first surgery or ablation. It focuses on early detection and providing another curative treatment if a recurrence is found.

Wuhan, Hubei
NCT07417800Recruiting
Predicting liver cancer treatment after surgery

This study uses digital scans of your tumor tissue and CT/MRI images to build a computer model that helps predict whether you might need extra treatment (adjuvant therapy) after liver cancer surgery. The goal is to use your own tissue and scan data to personalize follow-up care.

Hangzhou, Zhejiang
NCT07863258Recruiting
AI matchmaking for advanced liver cancer treatment

This study uses artificial intelligence to look at tumor samples and MRI scans from people with advanced liver cancer to help choose the best treatment. It aims to make treatment more personalized and effective.

Anderlecht

Hear when a new Hepatocellular Carcinoma (HCC) trial opens

We’ll email you when one opens — at most once a week, no account needed, unsubscribe anytime.