Evidence map›Paper›PMID 42205854›Full record

ArticleInternational journal of particle therapy2026

Biologically Effective Dose-Optimized Multi-Intensity-Modulated Proton Therapy: A Biologically Comparable Alternative to Proton Arc Therapy.

Nimita Shinde, Yanan Zhu, Wei Wang, Wangyao Li, Yuting Lin, Gregory N Gan, Christopher Lominska, Ronny Rotondo, Ronald C Chen, Hao Gao

Abstract read
In one paragraph

Article in International journal of particle therapy, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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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.

No citing paper in PubMed yet.

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

10 authors.

Nimita ShindeDepartment of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Yanan ZhuSchool of Mathematics, Harbin Institute of Technology, Harbin, China.
Wei WangDepartment of Radiation Oncology, University of Kansas Medical Center, Kansas City, KS, USA.
Wangyao LiDepartment of Radiation Oncology, University of Kansas Medical Center, Kansas City, KS, USA.
Yuting LinDepartment of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Gregory N GanDepartment of Radiation Oncology, University of Kansas Medical Center, Kansas City, KS, USA.
Christopher LominskaDepartment of Radiation Oncology, University of Kansas Medical Center, Kansas City, KS, USA.
Ronny RotondoDepartment of Radiation Oncology, University of Kansas Medical Center, Kansas City, KS, USA.
Ronald C ChenDepartment of Radiation Oncology, University of Kansas Medical Center, Kansas City, KS, USA.
Hao GaoDepartment of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Proton spot-scanning arc therapy (ARC) is an emerging technique that can enhance high-dose conformity to targets compared with standard intensity-modulated proton therapy (IMPT). Although proton ARC is highly desirable, it is not yet clinically available. Multiple IMPT plans delivered over different fractions and optimized simultaneously provide a practical means to approximate ARC-plan quality. However, existing multiple IMPT approaches are not optimized to be biologically comparable to proton ARC because they neglect the fractionation effect during treatment planning. This work proposes a biologically optimized multiple IMPT (multi-IMPT) framework that achieves comparable performance to proton ARC in terms of the biologically effective dose (BED). This is achieved through direct optimization of BED by explicitly incorporating the fractionation effect during planning, thereby ensuring biological comparability between multi-IMPT and proton ARC treatments. Materials and Methods: The proposed multi-IMPT method utilizes a different subset of limited number of beam angles in each fraction for dose delivery. Due to the different dose delivered to organs at risk (OAR) in each fraction, the BED delivered to OAR and the physical dose delivered to target is optimized in each fraction. The BED-based multi-IMPT inverse optimization problem is solved via the iterative convex relaxation method and the alternating direction method of multipliers. The effectiveness of the proposed multi-IMPT method is evaluated in terms of BED objectives in comparison with ARC and IMPT. Results: Multi-IMPT provided similar plan quality with ARC. For example, multi-IMPT provided better OAR sparing and slightly better target dose coverage for the prostate case; similar dose distribution for the lung case; slightly worse dose coverage for the brain case; better dose coverage but slightly higher BED in OAR for the head-and-neck case. Conclusion: A multi-IMPT approach is proposed that delivers ARC-comparable plan quality under the evaluated conditions in terms of BED.

Indexed as

Alternating direction method of multipliers (ADMM)Biologically effective dose (BED)IMPTProton arc therapyTreatment planning

Identifiers

PMID42205854
PMCPMC13208107

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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.