Evidence map›Paper›PMID 42891483›Full record

ArticleJournal of medical physics

Assessment of Calculation Grid Size Impact on Plan Quality and Gamma Evaluation Metrics in Intracranial Stereotactic Radiotherapy.

Ravindra Shende, Joyce Alexis, R S Rahul

Abstract read
In one paragraph

Article in Journal of medical physics. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Ravindra ShendeDepartment of Radiation Oncology, Balco Medical Centre, New Raipur, Chhattisgarh, India.
Joyce AlexisDepartment of Radiation Oncology, Balco Medical Centre, New Raipur, Chhattisgarh, India.
R S RahulDepartment of Radiation Oncology, Optimus Oncology Solapur Cancer Centre, Solapur, Maharashtra, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: This study aimed to evaluate the impact of dose calculation grid size on dosimetric accuracy, plan quality indices, and patient-specific quality-assurance (QA) outcomes in intracranial stereotactic radiotherapy (SRT). Materials and Methods: Fifteen retrospective intracranial SRT plans treated with HyperArc volumetric modulated arc therapy were re-planned using five dose calculation grid sizes of 1.0, 1.25, 1.5, 1.75, and 2.0 mm in the Eclipse treatment planning system. All plans were made to deliver 30 Gy in 5 fractions using 6 MV flattening-filter-free beams and calculated using the Anisotropic analytical algorithm. Plan quality was evaluated using multiple plan quality metrics, including RTOG quality coverage index (QI), Paddick conformity index, homogeneity index, and gradient index (GI). Dose spillage outside the target was assessed using volumetric dose indices. Patient-specific QA was performed using SRS MapCHECK with gamma-analysis under multiple criteria. Statistical comparisons were conducted using dependent paired Results: Increasing the dose calculation grid size resulted in a systematic increase in planning target volume mean dose and a corresponding reduction in D Conclusion: Study highlights that dose grid size variations significantly influence dosimetric accuracy, plan quality, and QA robustness in intracranial SRT. Coarser calculation grids compromise target coverage and gradient fidelity, while finer grids (≤1.25 mm) preserve near-reference dosimetric accuracy. Adopting a finer calculation grid ensures reliable dose computation, consistent patient-specific QA, and optimal clinical performance in SRT.

Indexed as

Gamma evaluationgrid sizeplan qualitystereotactic radiotherapytreatment planning

Identifiers

PMID42891483
PMCPMC13675050

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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.