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Related Experiment Video

Updated: Jun 17, 2025

Establishment of a Simple and Effective Rat Model for Intraoperative Parathyroid Gland Imaging
07:12

Establishment of a Simple and Effective Rat Model for Intraoperative Parathyroid Gland Imaging

Published on: August 17, 2022

3.4K

Intraoperative detection of parathyroid glands using artificial intelligence: optimizing medical image training with

Joon-Hyop Lee1, EunKyung Ku2, Yoo Seung Chung3

  • 1Division of Endocrine Surgery, Department of Surgery, Samsung Medical Center, 81 Irwon-ro, Gangnam-gu, Seoul, Korea.

Surgical Endoscopy
|August 14, 2024
PubMed
Summary

Artificial intelligence (AI) can effectively identify parathyroid glands during thyroidectomy. Augmentation methods significantly improve AI performance for intraoperative parathyroid gland detection, enhancing surgical safety.

Keywords:
Artificial intelligenceData augmentationGenerative adversarial networkObject detectionParathyroid gland

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Area of Science:

  • Surgical Technology
  • Artificial Intelligence in Medicine
  • Endocrinology

Background:

  • Postoperative hypoparathyroidism is a significant complication following thyroidectomy.
  • Intraoperative imaging for artificial intelligence (AI) training is challenging.
  • AI holds potential for intraoperative parathyroid gland detection via augmentation.

Purpose of the Study:

  • To train an effective AI model for intraoperative parathyroid gland identification during thyroidectomy.

Main Methods:

  • Collected video clips of parathyroid glands during thyroid lobectomy.
  • Trained AI models using baseline, geometric transformation, and generative adversarial network (GAN)-based image inpainting datasets.
  • Evaluated AI performance using average precision for parathyroid gland detection.

Main Results:

  • Baseline AI model achieved 77% average precision.
  • Geometric transformation (79%) and image inpainting (78.6%) augmentation improved performance.
  • Image inpainting showed superior effectiveness (46%) in external validation with a different surgical approach.

Conclusions:

  • The AI model is effective and generalizable for intraoperative parathyroid gland identification.
  • Augmentation methods are crucial for enhancing AI performance in this application.
  • Further studies are needed to compare AI performance with surgeon identification for clinical relevance.