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

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.

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Key information

Conditions

Lung Cancer Lung Diseases Lung Neoplasms Neoplasms Neoplasms by Site Respiratory Tract Diseases Respiratory Tract Neoplasms Thoracic Neoplasms

Age range

18 year and older

Sex eligibility

All sexes

Study type

Observational

Primary location

Affiliated Hospital of Hebei University

Baoding, Hebei, 071000, China

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

Patients diagnosed with lung cancer
Complete clinical case data;
All patients underwent surgical treatment;
Voluntarily participate in the study and sign the informed consent.

Exclusion criteria

Severe comorbidities, such as uncontrolled heart disease or diabetes
History of major surgeries or other interventions
Unwillingness to participate in the study

Treatment and study plan

3D Reconstruction Technology

Device

Utilization of 3D reconstruction technology to assist in preoperative planning and surgical procedures for thoracic surgery patients.

No 3D reconstruction is used

Device

This group did not use 3D reconstruction for surgical navigation

Primary outcomes

Operation Time

Time frame: During the surgery

Measure the total duration of the surgery in minutes.
Blood Loss

Time frame: During the surgery

Assess the total blood loss during surgery in milliliters.
Postoperative Complications

Time frame: Within 30 days post-surgery

Record any complications within 30 days post-surgery.

Sponsors and collaborators

Lead sponsor

Ke Zhang

Other

Registry information

Important dates

Study start: 2023
Primary completion: 2023
Study completion: 2024
First posted: Jul 18, 2024
Registry last updated: Sep 19, 2024

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.

Published trials that share one or more normalized conditions with this study.

Completed