Evidence map›Paper›PMID 37627793›Full record

ArticleBioengineering (Basel, Switzerland)2023

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

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

Open access · goldAbstract read
In one paragraph

Article in Bioengineering (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.7field-weighted citation impact, top 29% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 3 institutions in 1 country.

Wan-Ju LeeDepartment of Radiation Oncology, MacKay Memorial Hospital, Taipei 104217, Taiwan.
Yi-Shing LeuDepartment of Otorhinolaryngology, MacKay Memorial Hospital, Taipei 104217, Taiwan.
Jing-Sheng ChenDepartment of Computer Science and Information Engineering, National Taiwan University of Science and Technology, Taipei 106335, Taiwan.ORCID 0009-0002-1834-2300
Kun-Yao DaiDepartment of Radiation Oncology, MacKay Memorial Hospital, Taipei 104217, Taiwan.
Tien-Chi HouDepartment of Radiation Oncology, MacKay Memorial Hospital, Taipei 104217, Taiwan.
Chung-Ting ChangDepartment of Computer Science and Information Engineering, National Taiwan University of Science and Technology, Taipei 106335, Taiwan.
Chi-Jung LiDepartment of Radiation Oncology, MacKay Memorial Hospital, Taipei 104217, Taiwan.
Kai-Lung HuaDepartment of Computer Science and Information Engineering, National Taiwan University of Science and Technology, Taipei 106335, Taiwan.ORCID 0000-0002-7735-243X
Yu-Jen ChenDepartment of Radiation Oncology, MacKay Memorial Hospital, Taipei 104217, Taiwan.
Mackay Memorial Hospital · TWNational Taiwan University of Science and Technology · TWChina Medical University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

laryngeal cancerlaryngeal motionradiotherapysurface depth sensing

Identifiers

PMID37627793
PMCPMC10451758
OpenAlexW4385416202

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.