NCT05118451

Brief Summary

Primary liver cancer is the most common malignant tumor of the liver. Radical surgery is the preferred treatment, but its 5-year recurrence rate is as high as 70%, which is often associated with incomplete surgical resection and residual tumor. Since the 21st century, with the rapid development of surgery and new science and technology, the diagnosis and treatment of liver diseases have been closely linked with imaging diagnostics, biomedical engineering, molecular imaging technology, computer science and other interdisciplinary subjects. Three-dimensional (3D) visualization technology is one of the emerging auxiliary diagnosis and treatment methods. It plays an important role in accurate diagnosis, surgical planning and surgical navigation of primary liver cancer, and can effectively improve the success rate of surgery and reduce the incidence of postoperative complications. Its diagnostic and treatment value in primary liver cancer is mainly reflected in :(1) to clarify the spatial location relationship of abdominal space occupying lesions, understand the relationship between space occupying lesions and surrounding tissues, important blood vessels and cavities, judge tumor resectable, and make preoperative planning for tumor classification and surgical resection scope. (2) Calculation of individual liver segmentation and liver volume based on the topological relationship of blood flow 4. 3D simulation software was used to automatically calculate the resectioned liver volume and residual liver volume with statistical correlation, which was helpful to judge the probability of liver failure after liver cancer. (3) Variation of hepatic artery, portal vein and bile duct can be found, and the variation of duct can be evaluated by three-dimensional model, including whether there is contact, length of contact, whether there is stenosis in lumen, etc., especially the resectable ability of tumor patients can be evaluated by 3D and real-time dynamic navigation during surgery.

Trial Health

43
At Risk

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Trial has exceeded expected completion date
Enrollment
420

participants targeted

Target at P75+ for not_applicable

Timeline
Completed

Started Jul 2020

Longer than P75 for not_applicable

Geographic Reach
1 country

1 active site

Status
unknown

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Start

First participant enrolled

July 1, 2020

Completed
1.2 years until next milestone

First Submitted

Initial submission to the registry

September 22, 2021

Completed
2 months until next milestone

First Posted

Study publicly available on registry

November 12, 2021

Completed
3.6 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

June 30, 2025

Completed
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

June 30, 2025

Completed
Last Updated

February 10, 2022

Status Verified

February 1, 2022

Enrollment Period

5 years

First QC Date

September 22, 2021

Last Update Submit

February 8, 2022

Conditions

Keywords

primary liver cancerRCTrecurrence3D

Outcome Measures

Primary Outcomes (1)

  • Main evaluation indicators

    1 -, 3 -, 5 - year overall survival rate and tumor - free survival rate in control group and experimental group.

    1 -, 3 -, 5 - year

Secondary Outcomes (1)

  • Secondary evaluation index

    1 -, 3 -, 5 - year

Study Arms (2)

3d reconstruction visualization model to guide preoperative planning and surgery

EXPERIMENTAL

All patients in this study were operated by the medical team whose main members were the medical team leader, and all patients underwent anatomic hepatectomy. The main points of anatomic hepatectomy are summarized as follows :(1) determine and mark the boundary of liver segment according to ischemia line or staining. (2) The postoperative liver section should fully expose the iconic veins and vessels. (3) The initial part of Glisson's pedicle of the target liver segment was severed. Tissue was taken from the surgical margins of all patients and sent to frozen sections for examination. Routine pathological examinations were performed on all resected liver after surgery. Postoperative patients were treated with relevant perioperative symptomatic treatment, and blood routine examination, liver function and coagulation function were detected on the 1st, 3rd and 5th day after surgery.

Procedure: 3 d visualization technology

Based on high-quality thin slice CT images to guide preoperative planning and surgery.

NO INTERVENTION

All patients in this study were operated by the medical team whose main members were the medical team leader, and all patients underwent anatomic hepatectomy. The main points of anatomic hepatectomy are summarized as follows :(1) determine and mark the boundary of liver segment according to ischemia line or staining. (2) The postoperative liver section should fully expose the iconic veins and vessels. (3) The initial part of Glisson's pedicle of the target liver segment was severed. Tissue was taken from the surgical margins of all patients and sent to frozen sections for examination. Routine pathological examinations were performed on all resected liver after surgery. Postoperative patients were treated with relevant perioperative symptomatic treatment, and blood routine examination, liver function and coagulation function were detected on the 1st, 3rd and 5th day after surgery.

Interventions

3D visualization technology refers to the conversion of 2d imaging data such as CT and MR into 3D stereoscopic images through computer calculation, analysis and reconstruction, visually separating the shapes and spatial distribution features of targets such as liver, blood vessels and tumors directly, accurately and quickly to present three-dimensional views. Combined with transparency, rotation, scaling and measurement techniques, real-time and interactive 3D dynamic analysis of 3d visual model is carried out. In addition, the computer was used to simulate the operation, and the feasible surgical plan was discussed. The best surgical plan was selected based on the patient's individual data.

3d reconstruction visualization model to guide preoperative planning and surgery

Eligibility Criteria

Age18 Years - 66 Years
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)

You may qualify if:

  • Patients with primary liver cancer clinically diagnosed preoperatively (tumor ≥3cm to ≤10cm, diagnostic criteria: Primary liver cancer Diagnosis and Treatment Code 2019 edition);
  • No tumor thrombi formation and distant metastasis were found in the imaging data;
  • Child-Pugh grading standard of liver function was GRADE A or B;
  • years old;
  • Complete clinical case data;
  • all patients underwent surgical treatment;
  • Voluntarily participate in the study and sign the informed consent.

You may not qualify if:

  • There are basic diseases that cannot tolerate surgery (such as severe cardiopulmonary cerebral renal insufficiency);
  • Preoperative imaging examination found cancer thrombus in main portal vein and branches, common hepatic vein and branches, main hepatic vein and branches and inferior vena cava;
  • planned pregnancy, unplanned pregnancy and pregnancy;
  • Preoperative child-Pugh grading standard of liver function was Grade C.
  • Disease researchers that the investigator considers inappropriate to participate in this clinical trial.

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

MI-3DVS

Guangzhou, Guangdong, 510260, China

RECRUITING

Related Publications (1)

  • Zeng X, Tao H, Dong Y, Zhang Y, Yang J, Xuan F, Zhou J, Jia W, Liu J, Dai C, Hu H, Xiang N, Zeng N, Zhou W, Lau W, Yang J, Fang C. Impact of three-dimensional reconstruction visualization technology on short-term and long-term outcomes after hepatectomy in patients with hepatocellular carcinoma: a propensity-score-matched and inverse probability of treatment-weighted multicenter study. Int J Surg. 2024 Mar 1;110(3):1663-1676. doi: 10.1097/JS9.0000000000001047.

MeSH Terms

Conditions

Carcinoma, HepatocellularRecurrence

Condition Hierarchy (Ancestors)

AdenocarcinomaCarcinomaNeoplasms, Glandular and EpithelialNeoplasms by Histologic TypeNeoplasmsLiver NeoplasmsDigestive System NeoplasmsNeoplasms by SiteDigestive System DiseasesLiver DiseasesDisease AttributesPathologic ProcessesPathological Conditions, Signs and Symptoms

Study Officials

  • Chihua Fang, MD

    Zhujiang Hospital

    STUDY CHAIR

Central Study Contacts

Chihua Fang, MD

CONTACT

Zhenye Zhang, MM

CONTACT

Study Design

Study Type
interventional
Phase
not applicable
Allocation
RANDOMIZED
Masking
SINGLE
Who Masked
PARTICIPANT
Masking Details
A single blind design was used in this study. Patients were not informed about whether to use 3D visualization technology, and the subjects were blinded. Random numbers used for grouping are generated by third-party statisticians using SPSS. After the patients were enrolled, the nurses provided the surgeons with random numbers and groups of the patients in identical, opaque, sealed envelopes. The 3 researchers who will not participate in the operation will be independently responsible for recording the preoperative 3D visualization or CT analysis results, surgical photos and information records, postoperative complications and prognosis follow-up of the patients. The statisticians on the team who analyzed the data did not know how the patients were grouped.
Purpose
TREATMENT
Intervention Model
PARALLEL
Model Details: Intervention of the experimental group: based on high-quality thin-slice CT image reconstruction 3d visualization model to guide preoperative planning and surgery. The surgical process and perioperative management are as follows: All patients in this study were operated by the medical team whose main member was the medical team leader, and all patients were treated with anatomic hepatectomy. Intervention in the control group: preoperative planning and operation were guided based on high-quality thin-slice CT images.
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Director, Head of Hepatobiliary Surgery I, Principal Investigator, Clinical Professor

Study Record Dates

First Submitted

September 22, 2021

First Posted

November 12, 2021

Study Start

July 1, 2020

Primary Completion

June 30, 2025

Study Completion

June 30, 2025

Last Updated

February 10, 2022

Record last verified: 2022-02

Data Sharing

IPD Sharing
Will not share

Locations