Evidence map›Paper›PMID 40744900›Full record

ArticleJournal of applied clinical medical physics2025

Tumor-driven SRS VMAT planning: Regression models for intermediate and low dose spillage.

Meysam Tavakoli, Shada Wadi-Ramahi, Sarah Ashmeg, Ron Lalonde, Zaid Siddiqui

Abstract read
In one paragraph

Article in Journal of applied clinical medical physics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

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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

5 authors.

Meysam TavakoliDepartment of Radiation Oncology and Winship Cancer Institute, Emory University, Atlanta, Georgia, USA.ORCID https://orcid.org/0000-0002-7475-2139
Shada Wadi-RamahiDepartment of Radiation Oncology, University of Pittsburgh School of Medicine and UPMC Hillman Cancer Centre, Pittsburgh, Pennsylvania, USA.ORCID https://orcid.org/0000-0001-7328-2553
Sarah AshmegDepartment of Radiation Oncology, University of Pittsburgh School of Medicine and UPMC Hillman Cancer Centre, Pittsburgh, Pennsylvania, USA.
Ron LalondeDepartment of Radiation Oncology, University of Pittsburgh School of Medicine and UPMC Hillman Cancer Centre, Pittsburgh, Pennsylvania, USA.
Zaid SiddiquiDepartment of Radiation Oncology, Baylor College of Medicine, Houston, Texas, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeStereotactic radiosurgery (SRS) for brain metastases using volumetric modulated arc therapy (VMAT) is increasingly utilized. While high-dose conformity guidelines relative to tumor volume exist, recommendations for intermediate and low-dose regions remain undefined. This study explores tumor-specific characteristics and new dosimetric parameters to develop regression models for standardizing intracranial SRS planning. MATERIALS AND

methodWe introduce two dosimetric quantities: R

resultsStrong correlations were found between PTV

conclusionThis study proposes regression-based models for predicting dose spill based on tumor burden, total PTV volume and number of targets. These models provide a framework for model-based SRS planning, offering clinical physicists patient-specific guidance to improve consistency, optimize plan quality, and support future standardization efforts.

Indexed as

Brain NeoplasmsOrgans at RiskRadiosurgeryRadiotherapy, Intensity-ModulatedRadiotherapy Planning, Computer-AssistedHumansRadiotherapy DosageRegression AnalysisRetrospective Studieslow and intermediate dosemulti‐metastaticregression modelssingle isocenterSRS

Identifiers

PMID40744900
PMCPMC12313394

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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.