Evidence map›Paper›PMID 37004149›Full record

ArticleJournal of applied clinical medical physics2023

A retrospective multi-center feasibility study of a new PTV margin estimation approach for moving targets using CyberKnife log files.

Payam Samadi Miandoab, Shahyar Saramad, Saeed Setayeshi, Oliver Blanck

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in Journal of applied clinical medical physics, 2023. 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
1.1field-weighted citation impact, top 26% of its field
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, 3 citations in OpenAlex.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

4 authors at 2 institutions in 2 countries.

Payam Samadi MiandoabDepartment of Energy Engineering and Physics, Medical Radiation Engineering Group, Amirkabir University of Technology, Tehran, Iran.
Shahyar SaramadDepartment of Energy Engineering and Physics, Medical Radiation Engineering Group, Amirkabir University of Technology, Tehran, Iran.
Saeed SetayeshiDepartment of Energy Engineering and Physics, Medical Radiation Engineering Group, Amirkabir University of Technology, Tehran, Iran.
Oliver BlanckDepartment of Radiation Oncology, University Medical Center Schleswig-Holstein, Kiel, Germany.
Amirkabir University of Technology · IRUniversity Hospital Schleswig-Holstein · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis study investigates a new approach for estimating the planning target volume (PTV) margin for moving tumors treated with robotic stereotactic body radiotherapy (SBRT).

methodsIn this new approach, the covariance of modeling and prediction errors was estimated using error propagation and implemented in the Van Herk formula to form a Modified Van Herk formula (MVHF). To perform a retrospective multi-center analysis, the MVHF was studied using 163 patients treated with different system versions of robotic SBRT (G3 version 6.2.3, VSI version 8.5, and VSI version 9.5) and compared with two established PTV margins estimation methods: The original Van Herk Formula (VHF) and the Uncertainty Estimation Method (UEM).

resultsOverall, the PTV margins provided by the three formalisms are similar with 4-5 mm in the lung region and 4 mm in abdomen region to the PTV margins used in clinical. Furthermore, when analyzing individual patients, a difference of up to 1 mm was found between the PTV margin estimations using MVHF and VHF. The corresponding average discrepancies for the superior-inferior (SI) direction ranged between -0.19 mm to 0.38 mm in CK G3 version 6.2.3, -0.36 mm to 0.33 mm in CK VSI version 8.5, and -0.34 mm to 0.40 mm in CK VSI version 9.5.

conclusionsIt was found that for the lower left lung, upper left lung, lower right lung, upper right lung, central liver, and upper liver, the effect of covariance between model and prediction errors in SI direction was around 20%, 30%, 25%, 25%, 25%, and 30%, respectively. Notable covariance effects between model and prediction errors can be considered in PTV margin estimation using a modified VHF, which allowed for more precise target localization in robotic SBRT for moving tumors. Overall, in each of the three directions, the difference between MVHF and utilized clinical margins is 0.65 mm in the lung and abdominal region. Therefore, to improve the clinical PTV margins with the new approach, it is suggested to use the adaptive PTV margins in the next fractions.

Indexed as

NeoplasmsRadiosurgeryFeasibility StudiesHumansLungRadiotherapy Planning, Computer-AssistedCyberKnife systemerrorsPearson correlationPTV marginsuncertainty

Identifiers

PMID37004149
PMCPMC10338771
OpenAlexW4362458734

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.