Evidence map›Paper›PMID 40886144›Full record

ArticleJournal of applied clinical medical physics2025

Affordable realtime respiratory monitoring system for radiation oncology.

Mandeep Kaur, Hania Al-Hallaq, Marian Axente

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. Affordable realtime respiratory monitoring system for radiation oncology.Journal of applied clinical medical physics · 2025
    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

3 authors.

Mandeep KaurDepartment of Radiation Oncology, Emory University School of Medicine, Atlanta, Georgia, USA.ORCID https://orcid.org/0000-0001-9563-8004
Hania Al-HallaqDepartment of Radiation Oncology, Emory University School of Medicine, Atlanta, Georgia, USA.
Marian AxenteDepartment of Radiation Oncology, Emory University School of Medicine, Atlanta, Georgia, USA.ORCID https://orcid.org/0000-0002-3572-1137

Funding

Winship Cancer Institute of Emory University
6 · The paper itself

Abstract

background and purposeManaging respiratory motion is essential for accurate external beam radiotherapy of thoracic and abdominal tumors. Surface-guided radiation therapy systems offer precise respiratory motion monitoring, albeit being often expensive and complex. Cost-effective optical imaging technology could increase accessibility to accurate respiratory monitoring in radiotherapy. MATERIALS AND

methodsA realtime respiratory monitoring system was developed using off-the-shelf depth camera and custom software. The system tracks a superficial surrogate in three dimensions using depth and optical data. Initial testing involved tracking rigid phantoms in static and dynamic scenarios. 1D sinusoidal motion of various amplitudes was used as ground truth to assess system performance at different distances from the camera. 3D-motion was tracked concomitantly with the proposed system and a clinical surface imaging system. System accuracy against nominal motion was evaluated using Pearson correlation (r), tracking success rate (TSR), and mean absolute error (MAE). Bland-Altman analysis assessed agreement with the clinical system in the absence of ground truth.

resultsThe system accurately measured static targets, with depth errors of 0.03 ± 0.13 mm at 560 mm and 0.65 ± 0.61 mm at 1120 mm. For vertical 1D-motion, TSR (≤1 mm) was 100% at 560 mm and 98.7% at 1120 mm; longitudinal TSR ranged from 92% to 50% as distance increased. Pearson correlation remained > 0.98, except at distances ≥980 mm and amplitudes ≤5 mm. Mean errors were consistently ≤1 mm, with minimal bias and narrow limits of agreement in Bland-Altman analysis compared to the clinical system.

conclusionThe proposed system demonstrates suitability for realtime respiratory motion monitoring in radiotherapy, while minimizing the implementation costs.

Indexed as

Image Processing, Computer-AssistedPhantoms, ImagingRadiation OncologyRadiotherapy, Image-GuidedRadiotherapy Planning, Computer-AssistedRespirationAlgorithmsHumansImaging, Three-DimensionalMovementRadiotherapy DosageRadiotherapy, Intensity-Modulatedmotion managementoptical imagingrespiratory motion monitoring

Identifiers

PMID40886144
PMCPMC12398954

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.