Evidence map›Paper›PMID 41703378›Full record

ArticleJournal of applied clinical medical physics2026

An optimized VMAT planning technique for hippocampal-sparing whole-brain radiotherapy.

Bei Liu, An Liu, Terence Williams, Ji Hyun Kim

Abstract read
In one paragraph

Article in Journal of applied clinical medical physics, 2026. 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

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2 · The registry

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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.

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

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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

4 authors.

Bei LiuDivision of Radiation Oncology, City of Hope National Medical Center, Duarte, California, USA.
An LiuDivision of Radiation Oncology, City of Hope National Medical Center, Duarte, California, USA.
Terence WilliamsDivision of Radiation Oncology, City of Hope National Medical Center, Duarte, California, USA.
Ji Hyun KimDivision of Radiation Oncology, City of Hope National Medical Center, Duarte, California, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeWhole brain radiation therapy (WBRT) has been shown to provide palliation but with negative neurocognitive effects associated with radiation-induced damage to the hippocampus. Sparing of the hippocampus has been shown to reduce the risk of neurocognitive deficit. The goal of this study is to develop a VMAT planning strategy for WBRT with hippocampal avoidance (HA) that will minimize hippocampal dose while achieving homogeneous coverage of whole brain PTV. MATERIALS AND

methodsA retrospective study was performed on 10 patients previously treated for intracranial lesions. CT and MRI fused images were used to delineate the whole brain and hippocampus. Strictly following RTOG 0933 atlas guidelines, the hippocampus was manually delineated by a single radiation oncologist. A 4-arc noncoplanar VMAT approach was studied and compared with a 2-arc coplanar method for a prescription of 30 Gy in 10 fractions. We first generated an intermediate plan that optimized only the portion of the whole-brain PTV located farther from the hippocampus. Optimization was then continued by adding the remaining portions of the whole-brain PTV to the optimization structure. In the 4-arc VMAT optimization, a similar intermediate plan was utilized but in addition to this, the hippocampus was blocked for both entry and exit. Dosimetric parameters from both techniques were compared by paired t-test.

resultsWhen compared to RTOG 0933 dosimetric criteria, both the 2-arc coplanar plans and 4-arc noncoplanar met them with a great margin. However, the 4-arc noncoplanar VMAT approach achieved dramatically better dose sparing for hippocampus as measured by D

conclusionUsing an intermediate plan in VMAT optimization, both the 2-arc coplanar plans and 4-arc noncoplanar plans meet RTOG 0933 criteria with a great margin, while the 4-arc noncoplanar VMAT planning method for HA-WBRT further improves the hippocampus sparing, as well as whole brain PTV coverage and dose homogeneity.

Indexed as

Brain NeoplasmsCranial IrradiationHippocampusOrgans at RiskOrgan Sparing TreatmentsRadiotherapy, Intensity-ModulatedRadiotherapy Planning, Computer-AssistedHumansMagnetic Resonance ImagingRadiotherapy DosageRetrospective Studieshippocampus sparingVMAT whole brain plan

Identifiers

PMID41703378
PMCPMC12912919

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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.