Multimodal Deep Learning for Postoperative Liver Cancer Risk Stratification and Intervention

NCT ID: NCT07282184

Last Updated: 2025-12-18

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

RECRUITING

Clinical Phase

PHASE1/PHASE2

Total Enrollment

144 participants

Study Classification

INTERVENTIONAL

Study Start Date

2025-10-26

Study Completion Date

2028-06-30

Brief Summary

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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.

Detailed Description

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Conditions

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Hepotacellular Carcinoma

Keywords

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deep learning recurrence pattern Hepatocellular Carcinoma Neoadjuvant Therapy

Study Design

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Allocation Method

NON_RANDOMIZED

Intervention Model

PARALLEL

Primary Study Purpose

TREATMENT

Blinding Strategy

NONE

Study Groups

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Multimodal AI-guided Neoadjuvant Therapy + Surgery

Participants identified as high-risk for recurrence by the multimodal deep learning (PRE) model receive neoadjuvant therapy prior to curative liver resection. The neoadjuvant regimen consists of hepatic arterial infusion chemotherapy (HAIC) with the mFOLFOX6 regimen, combined with a PD-1 inhibitor and Lenvatinib. This is followed by standard curative liver resection.

Group Type EXPERIMENTAL

Multimodal AI Risk Stratification

Intervention Type OTHER

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.

Curative Liver Resection

Intervention Type PROCEDURE

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

Neoadjuvant HAIC + Lenvatinib + PD-1 Inhibitor

Intervention Type COMBINATION_PRODUCT

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.

Surgery Alone (High-Risk)

Participants identified as high-risk for recurrence by the multimodal deep learning (PRE) model proceed directly to standard curative liver resection without receiving neoadjuvant therapy.

Group Type ACTIVE_COMPARATOR

Multimodal AI Risk Stratification

Intervention Type OTHER

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.

Curative Liver Resection

Intervention Type PROCEDURE

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

Interventions

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Multimodal AI Risk Stratification

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.

Intervention Type OTHER

Curative Liver Resection

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

Intervention Type PROCEDURE

Neoadjuvant HAIC + Lenvatinib + PD-1 Inhibitor

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.

Intervention Type COMBINATION_PRODUCT

Eligibility Criteria

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Inclusion Criteria

* Age and Consent: Patients aged 18-75 years who are able to understand and voluntarily sign an Informed Consent Form.
* Diagnosis: Clinical diagnosis of BCLC stage 0-A hepatocellular carcinoma, confirmed by histopathology or non-invasive imaging criteria per guidelines.
* Surgical Candidacy: Scheduled to undergo curative-intent liver resection.
* Risk Stratification: Predicted as high-risk for aggressive recurrence by the pre-operative multimodal deep learning model (PRE score ≥ 0.5).
* Liver Function: Child-Pugh liver function class A (score ≤ 7).
* Performance Status: ECOG Performance Status of 0 or 1.
* Imaging Requirement: Availability of a standard pre-operative MRI scan (including non-contrast, arterial, portal venous, and delayed phases) performed within 1 month prior to enrollment, with acceptable image quality.
* Follow-up Commitment: Willing and able to comply with the study procedures and scheduled follow-up for at least 2 years.

Exclusion Criteria

* Pathology: Postoperative pathological confirmation of non-HCC malignancy (e.g., cholangiocarcinoma, combined hepatocellular-cholangiocarcinoma).
* Other Malignancies: History of other active malignancies within the past 5 years, except for appropriately treated carcinoma in situ of the cervix, non-melanoma skin cancer, or other cancers with a very low risk of recurrence.
* Early Mortality/Loss: Death from any cause or loss to follow-up within 90 days after surgery.
* Contraindications to Protocol Therapy: Known hypersensitivity to any component of the neoadjuvant therapy regimen (e.g., oxaliplatin, fluorouracil, PD-1 inhibitors, lenvatinib).
* Severe, uncontrolled medical conditions including but not limited to: Uncontrolled cardiac disease (e.g., NYHA Class III or IV heart failure), Severe renal dysfunction, Uncontrolled hypertension.
* Inability to Participate: Any condition that, in the opinion of the investigator, would compromise the patient's ability to participate in the study or interfere with the evaluation of the study objectives.
Minimum Eligible Age

18 Years

Maximum Eligible Age

75 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Tongji Hospital

OTHER

Sponsor Role lead

Responsible Party

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Wan-Guang Zhang

Professor

Responsibility Role PRINCIPAL_INVESTIGATOR

Locations

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Tongji Hospital

Wuhan, Hubei, China

Site Status RECRUITING

Countries

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China

Central Contacts

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Yang Wu, M.D.

Role: CONTACT

Phone: +8613636076910

Email: [email protected]

Facility Contacts

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Yang WU, M.D.

Role: primary

Role: backup

Other Identifiers

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TJ-IRB202510021

Identifier Type: -

Identifier Source: org_study_id