Evidence map›Paper›PMID 39704635›Full record

ArticleJournal of applied clinical medical physics2025

Calibration and volunteer testing of a prototype contactless respiratory motion detection system based on laser tracking.

Isnaini Nur Islami, Amar Ma'ruf Irfan Muhamadi, Wahyu Edy Wibowo, Aloysius Mario Yudi Putranto, Arief Sudarmaji, Fielda Djuita, Supriyanto Ardjo Pawiro

Abstract read
In one paragraph

Article in Journal of applied clinical medical physics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Article
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

7 authors.

Isnaini Nur IslamiDepartment of Physics, Faculty of Mathematics and Natural Sciences, Universitas Indonesia, Depok, West Java, 16424 Indonesia and Department of Radiation Oncology, Dr. Cipto Mangunkusumo National General Hospital Central, Jakarta, Indonesia.
Amar Ma'ruf Irfan MuhamadiDepartment of Physics, Faculty of Mathematics and Natural Sciences, Universitas Indonesia, Depok, West Java, Indonesia.
Wahyu Edy WibowoDepartment of Radiation Oncology, Dr. Cipto Mangunkusumo National General Hospital, Jakarta, Indonesia.
Aloysius Mario Yudi PutrantoDepartment of Radiation Oncology, MRCCC Siloam Hospital Semanggi, Jakarta, Indonesia.
Arief SudarmajiDepartment of Physics, Faculty of Mathematics and Natural Sciences, Universitas Indonesia, Depok, West Java, Indonesia.
Fielda DjuitaDepartment of Radiation Oncology, MRCCC Siloam Hospital Semanggi, Jakarta, Indonesia.
Supriyanto Ardjo PawiroDepartment of Physics, Faculty of Mathematics and Natural Sciences, Universitas Indonesia, Depok, West Java, Indonesia.

Funding

Universitas Indonesia Research NKB-769/UN2.RST/HKP.05.00/2023
6 · The paper itself

Abstract

purposeThe goal of this study was to assess the feasibility of a cost-effective prototype of a laser-based respiratory motion detection system utilizing a Leuze LDS for breath monitoring through calibration and volunteer tests.

methodsThis study was performed using the Anzai AZ-773 V and computerized imaging reference systems (CIRS) motion phantoms for calibration tests. The calibration of the laser-based respiratory motion detection system involved spatial accuracy testing, amplitude calibration, and temporal accuracy. Volunteer testing was conducted on eight volunteers at the inferior end of the sternum and the abdomen area. The accuracy of the data recorded by the laser-based respiratory motion detection system was validated against established clinical reference tracking systems namely real-time position management (RPM) and Anzai AZ-733 V system.

resultsCalibration with an Anzai AZ-773 V and CIRS phantoms demonstrated an average error of 1.17% ± 0.64% and an average amplitude calibration correlation coefficient of 0.975 ± 0.004. Volunteer tests, compared to the Anzai AZ-733 V clinical system and RPM system, revealed average correlation coefficients for deep inspiration breath-hold are 0.931 ± 0.02 and 0.936 ± 0.03, respectively, and for free breathing are 0.85 ± 0.07 and 0.77 ± 0.1, respectively.

conclusionsOverall, the data suggest that the in-house laser-based respiratory motion detection system performed well, with an error percentage below 10%. A reasonably good correlation coefficient was obtained, indicating that the readings obtained from the laser system are consistent with those set on the phantom and clinical respiratory motion detection systems. Although promising through the calibration process and volunteer tests, further studies are required to generate trigger data linked directly to computerized tomography and linear accelerator facilities, thereby advancing the clinical viability of this innovative laser-based respiratory motion detection system.

Indexed as

Image Processing, Computer-AssistedLasersPhantoms, ImagingRadiotherapy Planning, Computer-AssistedRespirationCalibrationHealthy VolunteersHumansMovementParticle AcceleratorsRadiotherapy DosageRadiotherapy, Intensity-ModulatedVolunteerscalibrationlaser‐based respiratory motion detection systemvolunteer test

Identifiers

PMID39704635
PMCPMC11969100

What OpenQuestion holds

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LicenceCC BY
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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.