Evidence map›Paper›PMID 30523890›Full record

ArticlePhysics in medicine and biology2019

Simultaneous optimization of RBE-weighted dose and nanometric ionization distributions in treatment planning with carbon ions.

Lucas N Burigo, José Ramos-Méndez, Mark Bangert, Reinhard W Schulte, Bruce Faddegon

Abstract read
In one paragraph

Article in Physics in medicine and biology, 2019. 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
–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

7 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.

Lucas N BurigoGerman Cancer Research Center-DKFZ, Im Neuenheimer Feld 280, D-69120 Heidelberg, Germany.ORCID 0000-0002-8053-9414
José Ramos-MéndezDepartment of Radiation Oncology, University of California San Francisco, 1600 Divisadero Street, San Francisco, CA 94115, United States of America.ORCID 0000-0002-8106-5142
Mark BangertGerman Cancer Research Center-DKFZ, Im Neuenheimer Feld 280, D-69120 Heidelberg, Germany.
Reinhard W SchulteDepartment of Radiation Oncology, University of California San Francisco, 1600 Divisadero Street, San Francisco, CA 94115, United States of America.ORCID 0000-0002-7892-2756
Bruce FaddegonDepartment of Radiation Oncology, University of California San Francisco, 1600 Divisadero Street, San Francisco, CA 94115, United States of America.

Funding

TOPAS - nBio, a Monte Carlo tool for radiation biology researchR01CA187003 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI SCHUEMANN, JAN PATRICK OSCAR · 2015 to 2024
$4.8M
NAPTA: Optimizing clinical trial design & delivery of particle therapy for cancerP20CA183640 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BLAKELY, ELEANOR A, ROACH, MACK · 2015 to 2016
$997k
NCI NIH HHS P20 CA183640NCI NIH HHS R01 CA187003
6 · The paper itself

Abstract

Inverse treatment planning in intensity modulated particle therapy (IMPT) with scanned carbon-ion beams is currently based on the optimization of RBE-weighted dose to satisfy requirements of target coverage and limited toxicity to organs-at-risk (OARs) and healthy tissues. There are many feasible IMPT plans that meet these requirements, which allows the introduction of further criteria to narrow the selection of a biologically optimal treatment plan. We propose a novel treatment planning strategy based on the simultaneous optimization of RBE-weighted dose and nanometric ionization details (ID) as a new physical characteristic of the delivered plan beyond LET. In particular, we focus on the distribution of large ionization clusters (more than 3 ionizations) to enhance the biological effect across the target volume while minimizing biological effect in normal tissues. Carbon-ion treatment plans for different patient geometries and beam configurations generated with the simultaneous optimization strategy were compared against reference plans obtained with RBE-weighted dose optimization alone. Quality indicators, inhomogeneity index and planning volume histograms of RBE-weighted dose and large ionization clusters were used to evaluate the treatment plans. We show that with simultaneous optimization, ID distributions can be optimized in carbon-ion radiotherapy without compromising the RBE-weighted dose distributions. This strategy can potentially be used to account for optimization of endpoints closely related to radiation quality to achieve better tumor control and reduce risks of complications.

Indexed as

Heavy Ion RadiotherapyRelative Biological EffectivenessHumansNeoplasmsOrgans at RiskRadiotherapy DosageRadiotherapy Planning, Computer-Assisted

Identifiers

PMID30523890
PMCPMC7164666

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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.