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Evolution of Three-Dimensional Computed Tomography Imaging in Thoracic Surgery.

Toyofumi Fengshi Chen-Yoshikawa¹

¹Department of Thoracic Surgery, Nagoya University Graduate School of Medicine, Nagoya 466-8550, Japan.

|June 19, 2024

Summary

This study introduces the Resection Process Map (RPM), a novel software for creating dynamic 3D computed tomography (CT) images. RPM addresses limitations of static 3D CT scans, enhancing surgical navigation in thoracic procedures.

Keywords:

robot-assisted thoracoscopic surgery simulation surgical guide thoracic surgery three-dimensional imaging three-dimensional model video-assisted thoracoscopic surgery

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Area of Science:

Thoracic Surgery
Medical Imaging
Surgical Simulation

Background:

3D CT imaging is crucial for thoracic surgery, enabling advanced surgical simulations.
Minimally invasive thoracic surgery necessitates improved preoperative and intraoperative planning tools.
Existing 3D CT software provides static images, which do not accurately represent the dynamic nature of lung tissue during surgery.

Purpose of the Study:

To introduce a novel software, the Resection Process Map (RPM), for generating dynamic 3D virtual images.
To address the limitations of static 3D CT images in thoracic surgical navigation.
To track the historical development of 3D CT imaging in thoracic surgery and introduce RPM's role.

Main Methods:

Development of the Resection Process Map (RPM) software.
Utilizing 3D computed tomography (CT) image reconstruction technology.
Tracking the historical evolution of 3D CT imaging applications in thoracic surgery.

Main Results:

The RPM software creates variable virtual 3D images, overcoming the static nature of conventional 3D CT.
The development of RPM is presented, building upon the history of 3D CT in thoracic surgery.
RPM has the potential to facilitate a real-time and accurate surgical navigation system.

Conclusions:

The Resection Process Map (RPM) software offers a dynamic approach to 3D imaging for thoracic surgery.
RPM enhances surgical simulation by providing variable virtual 3D images that better reflect intraoperative conditions.
This novel software could significantly advance real-time surgical navigation systems in thoracic procedures.