Evidence map›Paper›PMID 41134722›Full record

ArticleTechnology in cancer research & treatment

Equivalent-Uniform-Dose Optimization for Spatially Fractionated Radiation Therapy.

Ya-Nan Zhu, Weijie Zhang, Yuting Lin, Hao Gao

Abstract read
In one paragraph

Article in Technology in cancer research & treatment. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

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7citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Ya-Nan ZhuSchool of Mathematics, Harbin Institute of Technology, Harbin, China.ORCID 0009-0008-8728-1170
Weijie ZhangDepartment of Radiation Oncology, University of Kansas Medical Center, Kansas City, Kansas, USA.
Yuting LinDepartment of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Hao GaoDepartment of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, Texas, USA.

Funding

Novel Optimization Methods and Treatment Planning System for Clinically-Deliverable Truly-Hybrid Proton-Photon RadiotherapyR37CA250921 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI Hao Gao · 2021 to 2026
$2.2M
Simultaneous dose and dose rate optimization for clinical FLASH proton radiotherapyR01CA261964 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI GAO, HAO · 2022 to 2025
$2.0M
NCI NIH HHS R01 CA261964NCI NIH HHS R37 CA250921
6 · The paper itself

Abstract

BackgroundSpatially fractionated radiotherapy (SFRT) intentionally creates spatially-modulated peak-valley dose patterns for improving the tumor control or/and the sparing of organs at risk, compared to conventional radiotherapy (CONV). Evaluating non-uniform dose distributions using conventional physical dose does not fully account for the biological effectiveness of SFRT. In this study, we adopt the equivalent uniform dose (EUD) as a surrogate metric to evaluate non-uniform dose distributions.PurposeThis work will develop a SFRT treatment planning method with EUD optimization, which is the first-of-its-kind to the best of our knowledge.MethodsThe SFRT scenario of proton GRID with uniform target dose is considered in this work for dose-only optimization (DO) and joint dose and peak-valley-dose-ratio (PVDR) optimization (JDPO) respectively. In addition to dose and PVDR optimization, SFRT treatment planning also optimizes the EUD. The EUD used in this work is based on cell survival as modeled by the linear-quadratic model. The EUD optimization problem is solved by: (1) iterative convex relaxation to decouple the nonconvex dose-volume-histogram constraint; (2) linearized alternating direction method of multiplier to efficiently handle the nonconvex minimum-monitor-unit constraint and nonlinear EUD objective.ResultsEUD optimization reduced the EUD and increased survival fraction. For example, for a head-and-neck patient, EUD optimization decreased the brainstem EUD from 5.52% to 3.86% for DO, and from 5.78% to 4.82% for JDPO, and increased the brainstem survival fraction from 72.9% to 81.6% for DO, and from 71.5% to 76.6% for JDPO. Furthermore, EUD optimization preserved PVDR from DO or JDPO.ConclusionsA novel EUD optimization method is proposed for SFRT that can reduce the EUD and increase the survival fraction.

Indexed as

Dose Fractionation, RadiationNeoplasmsRadiotherapy Planning, Computer-AssistedAlgorithmsHumansOrgans at RiskProton TherapyRadiotherapy DosageRadiotherapy, Intensity-Modulatedequivalent uniform doseinverse optimizationspatially fractionated radiotherapy (SFRT)treatment planning

Identifiers

PMID41134722
PMCPMC12569369

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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.