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16 - 20 February 2025
San Diego, California, US
Conference 13405 > Paper 13405-65
Paper 13405-65

Respiratory volume prediction for pediatric TIS patients with MAGEC rod treatment from pre-operative dynamic MRI and chest radiographs

17 February 2025 • 5:30 PM - 7:00 PM PST | Golden State Ballroom

Abstract

Pre- and post-treatment evaluation for treatment of spinal deformity with MAGEC rods is crucial, particularly for assessing respiratory volumes. However, presence of MAGEC rods precludes MRI scanning. Therefore, finding a method to measure regional respiratory volumes in such patients is essential for optimized clinical care. We introduce a novel method using pre-operative dMRI and pre- and post-operative CXR to predict post-operative lung volumes via a neural network. With a dataset of 49 pediatric patients with thoracic insufficiency syndrome, we demonstrated feasibility of predicting post-operative lung volumes with ~10% relative percentage error. Future studies with more datasets can achieve better results.

Presenter

Univ. of Pennsylvania (United States)
Dr. Yubing Tong, a senior research investigator in MIPG (medical image processing group) at the University of Pennsylvania. He is majorly working on medical image processing and machine learning algorithms.
Application tracks: AI/ML
Author
You Hao
Univ. of Pennsylvania (United States)
Author
Univ. of Pennsylvania (United States)
Presenter/Author
Univ. of Pennsylvania (United States)
Author
Caiyun Wu
Univ. of Pennsylvania (United States)
Author
The Children's Hospital of Philadelphia (United States)
Author
The Children's Hospital of Philadelphia (United States)
Author
The Children's Hospital of Philadelphia (United States)
Author
Joseph McDonough
The Children's Hospital of Philadelphia (United States)
Author
Drew A. Torigian
Univ. of Pennsylvania (United States)
Author
The Children's Hospital of Philadelphia (United States)