Evidence map›Paper›PMID 38456557›Full record

ArticleMedical physics2024

Millimeter wave-based patient setup verification and motion tracking during radiotherapy.

Max Bressler, Jingxuan Zhu, Joshua Olick-Gibson, Jonathan Haefner, Shuang Zhou, Qinghao Chen, Thomas Mazur, Yao Hao, Paul Carter, Tiezhi Zhang

Open access · greenAbstract read
In one paragraph

Article in Medical physics, 2024. 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
2.4field-weighted citation impact, top 13% 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, 4 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

10 authors at 2 institutions in 1 country.

Max BresslerDepartment of Radiation Oncology, Washington University in St. Louis, St. Louis, Missouri, USA.
Jingxuan ZhuDepartment of Radiation Oncology, Washington University in St. Louis, St. Louis, Missouri, USA.
Joshua Olick-GibsonDepartment of Medical Engineering, California Institute of Technology, Pasadena, California, USA.
Jonathan HaefnerDepartment of Radiation Oncology, Washington University in St. Louis, St. Louis, Missouri, USA.
Shuang ZhouDepartment of Radiation Oncology, Washington University in St. Louis, St. Louis, Missouri, USA.
Qinghao ChenDepartment of Radiation Oncology, Washington University in St. Louis, St. Louis, Missouri, USA.
Thomas MazurDepartment of Radiation Oncology, Washington University in St. Louis, St. Louis, Missouri, USA.
Yao HaoDepartment of Radiation Oncology, Washington University in St. Louis, St. Louis, Missouri, USA.
Paul CarterOffice of Technology Management, Washington University in St. Louis, St. Louis, Missouri, USA.
Tiezhi ZhangDepartment of Radiation Oncology, Washington University in St. Louis, St. Louis, Missouri, USA.
Washington University in St. Louis · USCalifornia Institute of Technology · US

Funding

Development of mmWave technology for safe radiation treatment deliveryR03EB030669 · NIBIB · WASHINGTON UNIVERSITY · PI ZHANG, TIEZHI · 2021 to 2022
$158k
NIBIB NIH HHS R03 EB030669NIH HHS #1R03EB030669
6 · The paper itself

Abstract

backgroundPosition verification and motion monitoring are critical for safe and precise radiotherapy (RT). Existing approaches to these tasks based on visible light or x-ray are suboptimal either because they cannot penetrate obstructions to the patient's skin or introduce additional radiation exposure. The low-cost mmWave radar is an ideal solution for these tasks as it can monitor patient position and motion continuously throughout the treatment delivery. PURPOSE: To develop and validate frequency-modulated continuous wave (FMCW) mmWave radars for position verification and motion tracking during RT delivery.

methodsA 77 GHz FMCW mmWave module was used in this study. Chirp Z Transform-based (CZT) algorithm was developed to process the intermediate frequency (IF) signals. Absolute distances to flat Solid Water slabs and human shape phantoms were measured. The accuracy of absolute distance and relative displacement were evaluated.

resultsWithout obstruction, mmWave based on the CZT algorithm was able to detect absolute distance within 1 mm for a Solid Water slab that simulated the reflectivity of the human body. Through obstructive materials, the mmWave device was able to detect absolute distance within 5 mm in the worst case and within 3.5 mm in most cases. The CZT algorithm significantly improved the accuracy of absolute distance measurement compared with Fast Fourier Transform (FFT) algorithm and was able to achieve submillimeter displacement accuracy with and without obstructions. The surface-to-skin distance (SSD) measurement accuracy was within 8 mm in the anterior of the phantom.

conclusionsWith the CZT signal processing algorithm, the mmWave radar is able to measure the absolute distance to a flat surface within 1 mm. But the absolute distance measurement to a human shape phantom is as large as 8 mm at some angles. Further improvement is necessary to improve the accuracy of SSD measurement to uneven surfaces by the mmWave radar.

Indexed as

Signal Processing, Computer-AssistedWaterHumansMotionRadiographyWaterCZT algorithmmmWave radarmotion trackingpatient motion

Identifiers

PMID38456557
PMCPMC11000493
OpenAlexW4392597741

What OpenQuestion holds

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LicenceTDM
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Registered trials

None linked

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.