Evidence map›Paper›PMID 38590112›Full record

ArticleJournal of applied clinical medical physics2024

Impact of proton PBS machine operating parameters on the effectiveness of layer rescanning for interplay effect mitigation in lung SBRT treatment.

Xiaoying Liang, Chunbo Liu, Jiajian Shen, Stella Flampouri, Justin C Park, Bo Lu, Sridhar Yaddanapudi, Jun Tan, Keith M Furutani, Chris J Beltran

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 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

10 authors.

Xiaoying LiangDepartment of Radiation Oncology, Mayo Clinic, Jacksonville, Florida, USA.ORCID https://orcid.org/0000-0002-6688-1045
Chunbo LiuDepartment of Radiation Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Jiajian ShenDepartment of Radiation Oncology, Mayo Clinic, Phoenix, Arizona, USA.ORCID https://orcid.org/0000-0003-0439-2075
Stella FlampouriDepartment of Radiation Oncology, Winship Cancer Institute, Emory University, Atlanta, USA.
Justin C ParkDepartment of Radiation Oncology, Mayo Clinic, Jacksonville, Florida, USA.
Bo LuDepartment of Radiation Oncology, Mayo Clinic, Jacksonville, Florida, USA.
Sridhar YaddanapudiDepartment of Radiation Oncology, Mayo Clinic, Jacksonville, Florida, USA.ORCID https://orcid.org/0000-0001-9796-8576
Jun TanDepartment of Radiation Oncology, Mayo Clinic, Jacksonville, Florida, USA.
Keith M FurutaniDepartment of Radiation Oncology, Mayo Clinic, Jacksonville, Florida, USA.
Chris J BeltranDepartment of Radiation Oncology, Mayo Clinic, Jacksonville, Florida, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRescanning is a common technique used in proton pencil beam scanning to mitigate the interplay effect. Advances in machine operating parameters across different generations of particle therapy systems have led to improvements in beam delivery time (BDT). However, the potential impact of these improvements on the effectiveness of rescanning remains an underexplored area in the existing research.

methodsWe systematically investigated the impact of proton machine operating parameters on the effectiveness of layer rescanning in mitigating interplay effect during lung SBRT treatment, using the CIRS phantom. Focused on the Hitachi synchrotron particle therapy system, we explored machine operating parameters from our institution's current (2015) and upcoming systems (2025A and 2025B). Accumulated dynamic 4D dose were reconstructed to assess the interplay effect and layer rescanning effectiveness.

resultsAchieving target coverage and dose homogeneity within 2% deviation required 6, 6, and 20 times layer rescanning for the 2015, 2025A, and 2025B machine parameters, respectively. Beyond this point, further increasing the number of layer rescanning did not further improve the dose distribution. BDTs without rescanning were 50.4, 24.4, and 11.4 s for 2015, 2025A, and 2025B, respectively. However, after incorporating proper number of layer rescanning (six for 2015 and 2025A, 20 for 2025B), BDTs increased to 67.0, 39.6, and 42.3 s for 2015, 2025A, and 2025B machine parameters. Our data also demonstrated the potential problem of false negative and false positive if the randomness of the respiratory phase at which the beam is initiated is not considered in the evaluation of interplay effect.

conclusionThe effectiveness of layer rescanning for mitigating interplay effect is affected by machine operating parameters. Therefore, past clinical experiences may not be applicable to modern machines.

Indexed as

Lung NeoplasmsPhantoms, ImagingProton TherapyRadiosurgeryRadiotherapy DosageRadiotherapy Planning, Computer-AssistedHumansOrgans at RiskRadiotherapy, Intensity-Modulatedinterplay effectlayer rescanninglung SBRTmachine operation parametersproton PBS

Identifiers

PMID38590112
PMCPMC11244664

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.