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Real-Time Tracking of Laryngeal Motion via the Surface Depth-Sensing Technique for Radiotherapy in Laryngeal Cancer Patients
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 te...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10451758/ https://www.ncbi.nlm.nih.gov/pubmed/37627793 http://dx.doi.org/10.3390/bioengineering10080908 |
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author | Lee, Wan-Ju Leu, Yi-Shing Chen, Jing-Sheng Dai, Kun-Yao Hou, Tien-Chi Chang, Chung-Ting Li, Chi-Jung Hua, Kai-Lung Chen, Yu-Jen |
author_facet | Lee, Wan-Ju Leu, Yi-Shing Chen, Jing-Sheng Dai, Kun-Yao Hou, Tien-Chi Chang, Chung-Ting Li, Chi-Jung Hua, Kai-Lung Chen, Yu-Jen |
author_sort | Lee, Wan-Ju |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-10451758 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-104517582023-08-26 Real-Time Tracking of Laryngeal Motion via the Surface Depth-Sensing Technique for Radiotherapy in Laryngeal Cancer Patients Lee, Wan-Ju Leu, Yi-Shing Chen, Jing-Sheng Dai, Kun-Yao Hou, Tien-Chi Chang, Chung-Ting Li, Chi-Jung Hua, Kai-Lung Chen, Yu-Jen Bioengineering (Basel) Article 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. MDPI 2023-07-31 /pmc/articles/PMC10451758/ /pubmed/37627793 http://dx.doi.org/10.3390/bioengineering10080908 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Lee, Wan-Ju Leu, Yi-Shing Chen, Jing-Sheng Dai, Kun-Yao Hou, Tien-Chi Chang, Chung-Ting Li, Chi-Jung Hua, Kai-Lung Chen, Yu-Jen Real-Time Tracking of Laryngeal Motion via the Surface Depth-Sensing Technique for Radiotherapy in Laryngeal Cancer Patients |
title | Real-Time Tracking of Laryngeal Motion via the Surface Depth-Sensing Technique for Radiotherapy in Laryngeal Cancer Patients |
title_full | Real-Time Tracking of Laryngeal Motion via the Surface Depth-Sensing Technique for Radiotherapy in Laryngeal Cancer Patients |
title_fullStr | Real-Time Tracking of Laryngeal Motion via the Surface Depth-Sensing Technique for Radiotherapy in Laryngeal Cancer Patients |
title_full_unstemmed | Real-Time Tracking of Laryngeal Motion via the Surface Depth-Sensing Technique for Radiotherapy in Laryngeal Cancer Patients |
title_short | Real-Time Tracking of Laryngeal Motion via the Surface Depth-Sensing Technique for Radiotherapy in Laryngeal Cancer Patients |
title_sort | real-time tracking of laryngeal motion via the surface depth-sensing technique for radiotherapy in laryngeal cancer patients |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10451758/ https://www.ncbi.nlm.nih.gov/pubmed/37627793 http://dx.doi.org/10.3390/bioengineering10080908 |
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