Evidence map›Paper›PMID 38345134›Full record

ArticleMedical physics2024

Hypoxia-informed RBE-weighted beam orientation optimization for intensity modulated proton therapy.

Pavitra Ramesh, Dan Ruan, S John Liu, Youngho Seo, Steve Braunstein, Ke Sheng

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Medical physics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
–field-weighted citation impact, top 97% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Pavitra RameshDepartment of Radiation Oncology, University of California Los Angeles, Los Angeles, California, USA.
Dan RuanDepartment of Radiation Oncology, University of California Los Angeles, Los Angeles, California, USA.
S John LiuDepartment of Radiation Oncology, University of California San Francisco, San Francisco, California, USA.
Youngho SeoDepartment of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California, USA.
Steve BraunsteinDepartment of Radiation Oncology, University of California San Francisco, San Francisco, California, USA.
Ke ShengDepartment of Radiation Oncology, University of California San Francisco, San Francisco, California, USA.
University of California, San Francisco · USUniversity of California, Los Angeles · US

Funding

Development of a versatile robotic radiation therapy systemR44CA183390 · NCI · RADIABEAM TECHNOLOGIES, LLC · PI SHENG, KE, YONEMOTO, JAY · 2017 to 2024
$5.8M
Development of an ultra-high dose rate rotational linac for FLASH RadiotherapyR01CA255432 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI AGUSTSSON, RONALD, SHENG, KE · 2021 to 2025
$3.2M
Robust IMPT with automated beam orientation and scanning spot optimizationR01CA230278 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI SHENG, KE · 2019 to 2023
$1.9M
NCI NIH HHS R01 CA230278NCI NIH HHS R01 CA255432NCI NIH HHS R44 CA183390NIH HHS R01CA230278NIH HHS R44CA183390
6 · The paper itself

Abstract

backgroundVariable relative biological effectiveness (RBE) models in treatment planning have been proposed to optimize the therapeutic ratio of proton therapy. It has been reported that proton RBE decreases with increasing tumor oxygen level, offering an opportunity to address hypoxia-related radioresistance with RBE-weighted optimization. PURPOSE: Here, we obtain a voxel-level estimation of partial oxygen pressure to weigh RBE values in a single biologically informed beam orientation optimization (BOO) algorithm.

methodsThree glioblastoma patients with [

resultsCompared to [cRBE, RegRBE], HypRBE increased tumor HI, Dmax, and D95% across all plans by on average [31.3%, 31.8%], [48.6%, 27.1%], and [50.4%, 23.8%], respectively. In the worst-case scenario, the parameters increase on average by [12.5%, 14.7%], [7.3%,-8.9%], and [22.3%, 2.1%]. Despite increased OAR Dmean and Dmax by [8.0%, 3.0%] and [13.1%, -0.1%], HypRBE increased average TI by [22.0%, 21.1%]. Worst-case OAR Dmean, Dmax, and TI worsened by [17.9%, 4.3%], [24.5%, -1.2%], and [9.6%, 10.5%], but in the best cases, HypRBE escalates tumor coverage significantly without compromising OAR dose, increasing the therapeutic ratio.

conclusionsWe have developed an optimization algorithm whose dose fidelity term accounts for hypoxia-informed RBE values. We have shown that HypRBE selects bE:\Alok\aaeams better suited to deliver high physical dose to low RBE, hypoxic tumor regions while sparing the radiosensitive normal tissue.

Indexed as

GlioblastomaProton TherapyHumansHypoxiaOxygenPositron Emission Tomography Computed TomographyProtonsRadiotherapy DosageRadiotherapy Planning, Computer-AssistedRelative Biological EffectivenessOxygenProtonshypoxiaproton therapy dose optimizationRBE

Identifiers

PMID38345134
PMCPMC10940223
OpenAlexW4391754450

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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.