Evidence map›Paper›PMID 37985962›Full record

ArticleJournal of applied clinical medical physics2024

Incorporating variable RBE in IMPT optimization for ependymoma.

Hadis Moazami Goudarzi, Gino Lim, David Grosshans, Radhe Mohan, Wenhua Cao

Open access · goldAbstract 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 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.8field-weighted citation impact, top 13% 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

7 citing papers in PubMed, 7 citations in OpenAlex.

  1. Dynamic Proton arc therapy for paediatric parameningeal rhabdomyosarcoma.Journal of applied clinical medical physics · 2026
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  7. Incorporating variable RBE in IMPT optimization for ependymoma.Journal of applied clinical medical physics · 2024
    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

5 authors at 2 institutions in 1 country.

Hadis Moazami GoudarziDepartment of Industrial Engineering, University of Houston, Houston, Texas, USA.
Gino LimDepartment of Industrial Engineering, University of Houston, Houston, Texas, USA.ORCID https://orcid.org/0000-0003-2259-2310
David GrosshansDepartment of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Radhe MohanDepartment of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Wenhua CaoDepartment of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.ORCID https://orcid.org/0000-0002-7795-2929
The University of Texas MD Anderson Cancer Center · USUniversity of Houston · US

Funding

Project 3: Enhanced Sensitivity of Tumors to Proton Beam Therapy: Mechanisms and Biomarkers.P01CA261669 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI HONG, THEODORE S · 2021 to 2025
$14.0M
Optimizing the Biological Effectiveness of Intensity-Modulated Proton TherapyR03CA256220 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI CAO, WENHUA · 2021 to 2022
$159k
NCI NIH HHS P01 CA261669NCI NIH HHS R03 CA256220NIH HHS P01CA261669NIH HHS R03CA256220
6 · The paper itself

Abstract

purposeTo study the dosimetric impact of incorporating variable relative biological effectiveness (RBE) of protons in optimizing intensity-modulated proton therapy (IMPT) treatment plans and to compare it with conventional constant RBE optimization and linear energy transfer (LET)-based optimization.

methodsThis study included 10 pediatric ependymoma patients with challenging anatomical features for treatment planning. Four plans were generated for each patient according to different optimization strategies: (1) constant RBE optimization (ConstRBEopt) considering standard-of-care dose requirements; (2) LET optimization (LETopt) using a composite cost function simultaneously optimizing dose-averaged LET (LET

resultsWe found that the LETopt plans consistently achieved increased LET in tumor targets and similar or decreased LET in critical organs compared to other plans. On average, the VarRBEopt plans achieved lower mean and maximum doses with both constant and variable RBE in the brainstem and spinal cord for all 10 patients. To compensate for the underdosing of targets with 1.1 RBE for the VarRBEopt plans, the hRBEopt plans achieved higher physical dose in targets and reduced mean and especially maximum variable RBE doses compared to the ConstRBEopt and LETopt plans.

conclusionWe demonstrated the feasibility of directly incorporating variable RBE models in IMPT optimization. A hybrid RBE optimization strategy showed potential for clinical implementation by maintaining all current dose limits and reducing the incidence of high RBE in critical normal tissues in ependymoma patients.

Indexed as

EpendymomaProton TherapyChildHumansLinear Energy TransferOrgans at RiskRadiotherapy DosageRadiotherapy Planning, Computer-AssistedRelative Biological EffectivenessependymomaIMPTLEToptimizationRBE

Identifiers

PMID37985962
PMCPMC10795446
OpenAlexW4388850914

What OpenQuestion holds

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LicenceCC BY
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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.