Related Experiment Video
Updated: Oct 11, 2025
10:35
Stereotactic Radiosurgery for Gynecologic Cancer
Published on: April 17, 2012
18.3K
Gastric deformation models for adaptive radiotherapy: Personalized vs population-based strategy
Margot Bleeker1, Maarten C C M Hulshof1, Arjan Bel1
1Department of Radiation Oncology, Amsterdam UMC, University of Amsterdam, The Netherlands.
Summary
A population-based model accurately predicts stomach shape changes for gastric cancer radiotherapy planning. This approach is more effective than personalized models for creating a library of plans (LoP).
Area of Science:
- Radiotherapy
- Medical Imaging
- Computational Anatomy
Background:
- Accurate prediction of stomach shape variations is crucial for developing a library of plans (LoP) for adaptive radiotherapy in gastric cancer patients.
- Understanding how stomach filling affects shape is essential for improving radiotherapy treatment accuracy and patient outcomes.
Purpose of the Study:
- To evaluate the effectiveness of personalized and population-based strategies in predicting stomach shape changes based on filling variations.
- To explore the potential of these predictive strategies for constructing a library of plans (LoP) for gastric cancer adaptive radiotherapy.
Main Methods:
- Stomach shapes were delineated on MRI scans of healthy volunteers at different filling states (empty, half-full, full).
- Two prediction strategies were employed: a personalized approach using individual deformation fields and a population-based approach using average deformations from multiple volunteers.
- The population-based model was validated on CT scans of gastric cancer patients, predicting stomach shape on repeat scans.
Main Results:
- The population-based model achieved satisfactory predictions for full stomach shapes (median Dice Similarity Coefficient [mDSC] of 0.91), outperforming the personalized model (mDSC 0.89).
- Predictions for empty stomach shapes were less accurate, with the population-based model yielding an mDSC of 0.82, while the personalized strategy resulted in unachievable volumes.
- Population-based shape predictions demonstrated comparable accuracy between volunteers (mDSC 0.88) and gastric cancer patients (mDSC 0.87).
Conclusions:
- The population-based modeling strategy is superior to the personalized approach for predicting stomach shape changes influenced by gastric content variations.
- This population-based model shows significant potential for application in creating a library of plans (LoP) for gastric cancer adaptive radiotherapy.
