Evidence map›Paper›PMID 38696697›Full record

ArticleJournal of applied clinical medical physics2024

Feasibility of patient-specific quality assurance (PSQA) for real-time robotic stereotactic body radiotherapy (SBRT) based on tumor motion traces.

Qianyi Xu, Jiajin Fan, Yevgeniy Vinogradskiy, Ashish K Chawla, Gregory Kubicek, Haihua Yang, Kiet Huynh, Tamara LaCouture, Jimm Grimm, Wei Nie

Abstract read
In one paragraph

Article in Journal of applied clinical medical physics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

10 authors.

Qianyi XuDepartment of Advanced Radiation Oncology and Proton Therapy, Inova Schar Cancer Institute, Fairfax, Virginia, USA.
Jiajin FanDepartment of Advanced Radiation Oncology and Proton Therapy, Inova Schar Cancer Institute, Fairfax, Virginia, USA.
Yevgeniy VinogradskiyDepartment of Radiation Oncology, Thomas Jefferson University, Philadelphia, Pennsylvania, USA.
Ashish K ChawlaDepartment of Advanced Radiation Oncology and Proton Therapy, Inova Schar Cancer Institute, Fairfax, Virginia, USA.
Gregory KubicekDepartment of Radiation Oncology, University of Miami, Miami, Florida, USA.
Haihua YangDepartment of Radiation Oncology, Taizhou Hospital, Taizhou, Zhejiang, China.ORCID https://orcid.org/0000-0001-5549-8633
Kiet HuynhDepartment of Advanced Radiation Oncology and Proton Therapy, Inova Schar Cancer Institute, Fairfax, Virginia, USA.
Tamara LaCoutureDepartment of Radiation Oncology, Thomas Jefferson University, Philadelphia, Pennsylvania, USA.
Jimm GrimmDepartment of Radiation Oncology, Wellstar Health System, Marietta, Georgia, USA.
Wei NieDepartment of Advanced Radiation Oncology and Proton Therapy, Inova Schar Cancer Institute, Fairfax, Virginia, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo design a patient specific quality assurance (PSQA) process for the CyberKnife Synchrony system and quantify its dosimetric accuracy using a motion platform driven by patient tumor traces with rotation.

methodsThe CyberKnife Synchrony system was evaluated using a motion platform (MODUSQA) and a SRS MapCHECK phantom. The platform was programed to move in the superior-inferior (SI) direction based on tumor traces. The detector array housed by the StereoPhan was placed on the platform. Extra rotational angles in pitch (head down, 4.0° ± 0.15° or 1.2° ± 0.1°) were added to the moving phantom to examine robot capability of angle correction during delivery. A total of 15 Synchrony patients were performed SBRT PSQA on the moving phantom. All the results were benchmarked by the PSQA results based on static phantom.

resultsFor smaller pitch angles, the mean gamma passing rates were 99.75% ± 0.87%, 98.63% ± 2.05%, and 93.11% ± 5.52%, for 3%/1 mm, 2%/1 mm, and 1%/1 mm, respectively. Large discrepancy in the passing rates was observed for different pitch angles due to limited angle correction by the robot. For larger pitch angles, the corresponding mean passing rates were dropped to 93.00% ± 10.91%, 88.05% ± 14.93%, and 80.38% ± 17.40%. When comparing with the static phantom, no significant statistic difference was observed for smaller pitch angles (p = 0.1 for 3%/1 mm), whereas a larger statistic difference was observed for larger pitch angles (p < 0.02 for all criteria). All the gamma passing rates were improved, if applying shift and rotation correction.

conclusionsThe significance of this work is that it is the first study to benchmark PSQA for the CyberKnife Synchrony system using realistically moving phantoms with rotation. With reasonable delivery time, we found it may be feasible to perform PSQA for Synchrony patients with a realistic breathing pattern.

Indexed as

Feasibility StudiesPhantoms, ImagingQuality Assurance, Health CareRadiosurgeryRadiotherapy DosageRadiotherapy, Intensity-ModulatedRadiotherapy Planning, Computer-AssistedHumansMovementNeoplasmsOrgans at RiskRoboticsRobotic Surgical ProceduresCyberKnifediode arraymotion platformPSQAsynchrony

Identifiers

PMID38696697
PMCPMC11302821

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.