Evidence map›Paper›PMID 32107845›Full record

ArticleJournal of applied clinical medical physics2020

Patient motion tracking for non-isocentric and non-coplanar treatments via fixed frame-of-reference 3D camera.

Sergey Gasparyan, Kyle Ko, Lawrie B Skinner, Ryan B Ko, Billy W Loo, Benjamin P Fahimian, Amy S Yu

Abstract read
In one paragraph

Article in Journal of applied clinical medical physics, 2020. 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.

Sergey GasparyanDepartment of Radiation Oncology, Stanford university, Palo Alto, CA, 94304, USA.
Kyle KoDepartment of Radiation Oncology, Stanford university, Palo Alto, CA, 94304, USA.
Lawrie B SkinnerDepartment of Radiation Oncology, Stanford university, Palo Alto, CA, 94304, USA.
Ryan B KoDepartment of Radiation Oncology, Stanford university, Palo Alto, CA, 94304, USA.
Billy W LooDepartment of Radiation Oncology, Stanford university, Palo Alto, CA, 94304, USA.
Benjamin P FahimianDepartment of Radiation Oncology, Stanford university, Palo Alto, CA, 94304, USA.
Amy S YuDepartment of Radiation Oncology, Stanford university, Palo Alto, CA, 94304, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeAs C-arm linac radiation therapy evolves toward faster, more efficient delivery, and more conformal dosimetry, treatments with increasingly complex couch motions are emerging. Monitoring the patient motion independently of the couch motion during non-coplanar, non-isocentric, or dynamic couch treatments is a key bottleneck to their clinical implementation. The goal of this study is to develop a prototype real-time monitoring system for unconventional beam trajectories to ensure a safe and accurate treatment delivery.

methodsAn in-house algorithm was developed for tracking using a couch-mounted three-dimensional (3D) depth camera. The accuracy of patient motion detection on the couch was tested on a 3D printed phantom created from the body surface contour exported from the treatment planning system. The technique was evaluated against a commercial optical surface monitoring system with known phantom displacements of 3, 5, and 7 mm in lateral, longitudinal, and vertical directions by placing a head phantom on a dynamic platform on the treatment couch. The stability of the monitoring system was evaluated during dynamic couch trajectories, at speeds between 10.6 and 65 cm/min.

resultsThe proposed monitoring system agreed with the ceiling mounted optical surface monitoring system in longitudinal, lateral, and vertical directions within 0.5 mm. The uncertainty caused by couch vibration increased with couch speed but remained sub-millimeter for speeds up to 32 cm/min. For couch speeds of 10.6, 32.2, and 65 cm/min, the uncertainty ranges were 0.27- 0.73 mm, 0.15-0.87 mm, and 0.28-1.29 mm, respectively.

conclusionBy mounting a 3D camera in the same frame-of-reference as the patient and eliminating dead spots, this proof of concept demonstrates real-time patient monitoring during couch motion. For treatments with non-coplanar beams, multiple isocenters, or dynamic couch motion, this provides additional safety without additional radiation dose and avoids some of the complexity and limitations of room mounted systems.

Indexed as

AlgorithmsMovementPatient PositioningPhantoms, ImagingHeadHumansParticle AcceleratorsRadiotherapy DosageRadiotherapy, Intensity-ModulatedRadiotherapy Planning, Computer-Assistedintrafractional monitoringnon-coplanarnon-isocentricoptical surface monitoring

Identifiers

PMID32107845
PMCPMC7075370

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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.