Tongji Hospital
Wuhan, Hubei, 438700, China
Location status: Recruiting
Location contact
Wanguang Zhang, M.D.
PRINCIPAL_INVESTIGATOR
Yang WU, M.D.
CONTACT
CONTACT
NCT Number: NCT07282184
This study is for patients with early-stage liver cancer who are planning to have surgery. The goal of this research is to see if a personalized treatment plan, guided by a computer model (an artificial intelligence tool), can help prevent the cancer from coming back after surgery.
First, the computer model will analyze each patient's medical images and health data to predict their personal risk of the cancer returning. Patients whom the model predicts have a high risk of the cancer coming back will be offered a special treatment plan. This plan involves receiving medication (neoadjuvant therapy) before surgery and additional medication (adjuvant therapy) after surgery. The effectiveness of this plan will be compared to the standard approach of surgery alone.
The main goal is to see if this new, personalized plan can better prevent the cancer from returning within 2 years after surgery. The study will also closely monitor the safety of the medications used.
All patients in the study will be followed closely for 2 years with regular scans and check-ups to monitor their health.
Interested in participating?
Request Info18 year–75 year
All sexes
Interventional
Phase 1 / Phase 2
Wuhan, Hubei, 438700, China
Location status: Recruiting
Wanguang Zhang, M.D.
PRINCIPAL_INVESTIGATOR
Yang WU, M.D.
CONTACT
CONTACT
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
A combination drug regimen used as neoadjuvant therapy. Includes Hepatic Arterial Infusion Chemotherapy (HAIC) with mFOLFOX6 (Oxaliplatin, Leucovorin, Fluorouracil), oral Lenvatinib, and an intravenous PD-1 inhibitor.
Standard anatomic or non-anatomic liver resection with the intention of achieving complete tumor removal with negative margins. This is the standard surgical procedure for resectable hepatocellular carcinoma
The use of a pre-established deep learning model (PRE/POST model) to analyze preoperative imaging and clinical data to stratify patients' risk of aggressive recurrence. This stratification is used to determine treatment arm assignment.
Time frame: 2 years post-surgery
The primary outcome is the proportion of patients who remain free of recurrence at 2 years after curative liver resection. Recurrence is defined as radiologically confirmed (via contrast-enhanced CT or MRI according to RECIST 1.1 criteria) appearance of new lesions (intrahepatic or extrahepatic) or death from any cause, whichever occurs first. This outcome will be compared between the intervention arm (AI-guided neoadjuvant therapy + surgery) and the control arm (surgery alone).
Time frame: From the start of neoadjuvant therapy until 30 days after the last dose of neoadjuvant drugs
The proportion of patients in the intervention arm who experience at least one Grade 3 or higher adverse event that is judged by the investigator to be related to the neoadjuvant therapy regimen (HAIC + Lenvatinib + PD-1 inhibitor). Severity will be graded according to the National Cancer Institute Common Terminology Criteria for Adverse Events (NCI CTCAE) version 5.0.
Time frame: Up to 3 years post-surgery
The time from the date of randomization (or enrollment for non-randomized studies) to the date of death from any cause. Patients who are still alive at the time of analysis will be censored at the last known date they were alive.
Contact information is provided by the study sponsor or research team.
Tongji Hospital
Other
A Multimodal Deep Learning-Driven Study for Perioperative Risk Stratification and Precision Intervention in Hepatocellular Carcinoma Recurrence
OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.
View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.
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