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Vilon

KE, L-Lys-L-Glu, lysylglutamic acid

Quick Stats
Studies 40
Trials 100
Completed OBSERVATIONAL NCT06507774

The Development and Study of a 3D-Printed Model for Surgical Planning of Lung Cancer with Realistic Subsegmental Boundaries and Complete Tissue Structures

View on ClinicalTrials.gov Updated Dec 15, 2025

Brief Summary

This project focuses on the development of a precision multi-organ surgical planning model aided by artificial intelligence (AI), computer-aided design (CAD), multi-material 3D printing, and multimodal 3D modeling. The integration of these advanced technologies aims to enhance the accuracy and efficiency of preoperative planning for complex surgical procedures involving multiple organs. By leveraging AI and CAD, the project seeks to create detailed, patient-specific 3D models that incorporate various imaging modalities. These models will be used to guide multi-material 3D printing, producing highly accurate replicas of anatomical structures. The ultimate goal is to improve surgical outcomes by providing surgeons with precise and comprehensive tools for planning and executing intricate surgeries.

Interventions

Name: 3D Reconstruction Technology
Type: DEVICE
Description: Utilization of 3D reconstruction technology to assist in preoperative planning and surgical procedures for thoracic surgery patients.
Name: No 3D reconstruction is used
Type: DEVICE
Description: This group did not use 3D reconstruction for surgical navigation

Primary Outcomes

Measure: Operation Time
TimeFrame: During the surgery
Description: Measure the total duration of the surgery in minutes.
Measure: Blood Loss
TimeFrame: During the surgery
Description: Assess the total blood loss during surgery in milliliters.
Measure: Postoperative Complications
TimeFrame: Within 30 days post-surgery
Description: Record any complications within 30 days post-surgery.

Trial Information

NCT ID

NCT06507774

Status

Completed

Study Type

OBSERVATIONAL

Sponsor

Ke Zhang

Last Updated

December 15, 2025