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Related Experiment Video

Updated: Sep 24, 2025

Technical Approach for Infrared Tracking for Soft Tissue Navigation with a Holographic Head-Mounted Display and Preclinical Validation

Technical Approach for Infrared Tracking for Soft Tissue Navigation with a Holographic Head-Mounted Display and Preclinical Validation

Published on: September 2, 2025

Preliminary study for developing a navigation system for gastric cancer surgery using artificial intelligence.

Yuya Sato¹, Jun Sese^2,3, Takatoshi Matsuyama¹

¹Department of Gastrointestinal Surgery, Tokyo Medical and Dental University, 1-5-45, Yushima, Bunkyo-ku, Tokyo, 113-8530, Japan.

|May 5, 2022

Summary

This summary is machine-generated.

A machine learning model (MLM) can learn the peripancreatic dissection line for gastric cancer surgery. This preliminary study shows potential for developing a surgical navigation system.

Keywords:

Artificial intelligence Deep learning Gastric cancer Navigation surgery Pancreatic fistula

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Last Updated: Sep 24, 2025

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Area of Science:

Surgical oncology
Medical imaging
Machine learning

Background:

Gastric cancer surgery requires precise peripancreatic lymphadenectomy.
Developing navigation systems can enhance surgical safety and efficacy.

Purpose of the Study:

To assess if a machine learning model (MLM) can learn the peripancreatic dissection line.
To evaluate the feasibility of an MLM for surgical navigation in gastric cancer procedures.

Main Methods:

Selected 6 gastric cancer patients for video analysis.
Annotated pancreatic contours in 1242 images.
Trained an MLM on 5 patients' data and tested on the remaining patient, repeating for all combinations.

Main Results:

The MLM achieved a median maximum intersection over union of 0.708, exceeding the 0.5 threshold.
Accurate segmentation of the pancreatic contour was observed.
Challenges remain in areas with fatty tissue or thin vessels obscuring the pancreas.

Conclusions:

The trained MLM demonstrated capability in tracing the pancreatic contour.
Further development and system training are necessary for a practical surgical navigation system.