Real-Time Tracking of Laryngeal Motion via the Surface Depth-Sensing Technique for Radiotherapy in Laryngeal Cancer Patients

Autor: Wan-Ju Lee, Yi-Shing Leu, Jing-Sheng Chen, Kun-Yao Dai, Tien-Chi Hou, Chung-Ting Chang, Chi-Jung Li, Kai-Lung Hua, Yu-Jen Chen
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: Bioengineering, Vol 10, Iss 8, p 908 (2023)
Druh dokumentu: article
ISSN: 2306-5354
DOI: 10.3390/bioengineering10080908
Popis: Radiotherapy (RT) is an important modality for laryngeal cancer treatment to preserve laryngeal function. During beam delivery, laryngeal motion remains uncontrollable and may compromise tumor-targeting efficacy. We aimed to examine real-time laryngeal motion by developing a surface depth-sensing technique with preliminary testing during RT-based treatment of patients with laryngeal cancer. A surface depth-sensing (SDS) camera was set up and integrated into RT simulation procedures. By recording the natural swallowing of patients, SDS calculation was performed using the Pose Estimation Model and deep neural network technique. Seven male patients with laryngeal cancer were enrolled in this prospective study. The calculated motion distances of the laryngeal prominence (mean ± standard deviation) were 1.6 ± 0.8 mm, 21.4 ± 5.1 mm, 6.4 ± 3.3 mm, and 22.7 ± 4.9 mm in the left–right, cranio–caudal, and anterior–posterior directions and for the spatial displacement, respectively. The calculated differences in the 3D margins for generating the planning tumor volume by senior physicians with and without SDS data were −0.7 ± 1.0 mm (−18%), 11.3 ± 6.8 mm (235%), and 1.8 ± 2.6 mm (45%) in the left–right, cranio–caudal, and anterior–posterior directions, respectively. The SDS technique developed for detecting laryngeal motion during swallowing may be a practical guide for individualized RT design in the treatment of laryngeal cancer.
Databáze: Directory of Open Access Journals
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