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Related Experiment Video

Updated: May 6, 2026

Construction of a Preclinical Multimodality Phantom Using Tissue-mimicking Materials for Quality Assurance in Tumor Size Measurement
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A study on indirect tumor localization using lung phantom during radiation therapy.

Chia-Chun Kuo1,2,3, Ming-Lu Guo4,5, Ai-Ho Liao6,7

  • 1Department of Radiation Oncology, Taipei Medical University Hospital, Taipei, Taiwan.

Quantitative Imaging in Medicine and Surgery
|April 16, 2025
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Summary

This study developed a new thoracoabdominal phantom and a refined motion conversion model for accurate tumor localization in radiation therapy. The improved model significantly reduces prediction errors for better treatment precision.

Keywords:
4-dimensional computed tomographyThoracoabdominal phantomcone beam computed tomography (CBCT)lung tumorsrespiratory motion simulation system

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Area of Science:

  • Medical Physics
  • Radiotherapy Technology
  • Medical Imaging

Background:

  • Accurate tumor localization is critical for precise radiation therapy dose delivery.
  • Minimizing damage to healthy tissues requires exact targeting in radiotherapy.
  • A novel thoracoabdominal phantom is introduced for predicting tumor positions.

Purpose of the Study:

  • To develop and refine a tumor motion conversion model using a novel thoracoabdominal phantom.
  • To improve the accuracy of tumor position prediction in radiotherapy.
  • To integrate advanced imaging and AI algorithms for enhanced radiotherapy planning.

Main Methods:

  • Utilized a novel thoracoabdominal phantom with mask region-based convolutional neural networks (Mask R-CNN) ultrasound image tracking algorithm (M-UITA).
  • Employed 4-dimensional computed tomography (4DCT) and Respiratory Motion Simulation System (RMSS) to track tumor and diaphragm phantom motion.
  • Validated tumor phantom position using cone beam computed tomography (CBCT).

Main Results:

  • The study achieved reduced absolute errors in tumor motion prediction compared to previous research.
  • Superior-inferior (SI) direction errors ranged from 0.35 to 1.35 mm.
  • Medial-lateral (ML) direction errors ranged from 0.73 to 2.26 mm.

Conclusions:

  • A redesigned thoracoabdominal phantom and refined conversion model significantly improve tumor motion prediction accuracy.
  • Reduced errors in SI and ML directions enhance the reliability of radiotherapy targeting.
  • Future integration with respiratory motion compensation systems promises minimized radiation damage to healthy tissues.