Evidence map›Paper›PMID 42427248›Full record

ArticleMedical physics2026

A single-field-each-peak optimization method for motion-robust proton LATTICE therapy.

Xin Tong, Ya-Nan Zhu, Nimita Shinde, Wangyao Li, Weijie Zhang, Chao Wang, Yuting Lin, Hao Gao

Abstract read
In one paragraph

Article in Medical physics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Xin TongDepartment of Radiation Oncology, University of Kansas Medical Center, Kansas City, Kansas, USA.
Ya-Nan ZhuSchool of Mathematics, Harbin Institute of Technology, Harbin, China.
Nimita ShindeDepartment of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Wangyao LiDepartment of Radiation Oncology, University of Kansas Medical Center, Kansas City, Kansas, USA.
Weijie ZhangDepartment of Radiation Oncology, University of Kansas Medical Center, Kansas City, Kansas, USA.
Chao WangCollege of Science, China Agricultural University, Beijing, China.
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 CA250921NIH HHS R01CA261964NIH HHS R37CA250921
6 · The paper itself

Abstract

backgroundLATTICE therapy delivers a spatially modulated dose pattern of high-dose peaks and low-dose valleys to the tumor target. Traditionally, LATTICE treatments have been implemented using photon beams; however, recent advancements have enabled the development of proton LATTICE (pLATTICE). Conventional pLATTICE planning typically relies on the convergence of multiple beam angles to form each high-dose peak, rendering peak localization highly sensitive to delivery uncertainties. These uncertainties include respiratory motion, proton range uncertainty, and intra-fraction anatomical variations, which can disrupt the geometric alignment of beams and compromise the spatial accuracy of peak deposition. PURPOSE: To address these challenges, we propose a novel single-field-each-peak (SFEP) optimization framework for robust pLATTICE delivery, during which the optimization method imposes that each peak is delivered using exactly one field. By avoiding multi-field convergence at individual peaks, the proposed approach aims to improve robustness against motion, range uncertainty, and anatomical variation while preserving the spatially fractionated dose pattern characteristic of LATTICE therapy.

methodsThe SFEP optimization approach enhances the motion robustness of pLATTICE by assigning each lattice vertex (peak) to a single field (beam angle) selected from a set of candidates beam orientations. This is achieved by defining SFEP as a mixed integer optimization problem in which the binary variables assign a single field to each peak (from a set of candidate fields), while continuous variables optimize proton spot weights. The optimization method simultaneously determines the field selection and proton spot weights, where the solution is obtained through a combination of alternating direction method of multipliers and iterative convex relaxation techniques.

resultsThe proposed method (NEW) was validated against the exhaustive search (ES) approach, in which beam angles for each peak were preselected and fixed without optimization. NEW consistently delivered each peak using a single field, while maintaining comparable peak-to-valley dose ratio (PVDR) and conformity index (CI). Robustness of the SFEP method was evaluated under standard 3.5% range and 5 mm setup uncertainties, and demonstrated superior robustness compared to intensity-modulated proton therapy (IMPT)-based pLATTICE. Additionally, motion-robust evaluation was performed using simulated directional shifts to mimic patient or anatomical motion. In the abdomen case, shifts of [-3, -3, 3] at field one, [3, 3, -3] at field two, and [-3, 3, -3] at field three were applied. Compared to IMPT, SFEP maintained more stable peak localization and coverage; for example, peak coverage at the 100% prescription dose decreased from 100% to 82.5% in SFEP after the shifts, versus 89.5% to 64.6% in IMPT.

conclusionsThis study introduces a novel SFEP optimization approach for achieving motion-robust pLATTICE, in which each peak is delivered using a single optimally chosen field. The SFEP method successfully delivers each peak with a single field while maintaining plan quality compared to exhaustive search (ES) plans and demonstrates superior robustness in peak localization and coverage compared to IMPT.

Indexed as

Proton TherapyRadiotherapy Planning, Computer-AssistedAlgorithmsHumansMovementRadiotherapy Dosagemotion robustnessproton lattice therapyrange uncertainty

Identifiers

PMID42427248
PMCPMC13352109

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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.