Evidence map›Paper›PMID 37357825›Full record

ArticleMedical physics2023

Lattice position optimization for LATTICE therapy.

Weijie Zhang, Yuting Lin, Fen Wang, Rajeev Badkul, Ronald C Chen, Hao Gao

Abstract read
In one paragraph

Article in Medical physics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

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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

35 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Weijie ZhangDepartment of Radiation Oncology, University of Kansas Medical Center, Lawrence, Kansas, USA.
Yuting LinDepartment of Radiation Oncology, University of Kansas Medical Center, Lawrence, Kansas, USA.
Fen WangDepartment of Radiation Oncology, University of Kansas Medical Center, Lawrence, Kansas, USA.
Rajeev BadkulDepartment of Radiation Oncology, University of Kansas Medical Center, Lawrence, Kansas, USA.
Ronald C ChenDepartment of Radiation Oncology, University of Kansas Medical Center, Lawrence, Kansas, USA.
Hao GaoDepartment of Radiation Oncology, University of Kansas Medical Center, Lawrence, Kansas, 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 radiation therapy delivers 3D heterogenous dose of high peak-to-valley dose ratio (PVDR) to the tumor target, with peak dose at lattice vertices inside the target and valley dose for the rest of the target. Although the lattice vertex positions can impact PVDR inside the target and sparing of organs-at-risk (OAR), they are fixed as constants and not optimized during treatment planning in current clinical practice. PURPOSE: This work proposes a new LATTICE plan optimization method that can optimize lattice vertex positions during LATTICE treatment planning, which is the first lattice position optimization study to the best of our knowledge.

methodsThe new LATTICE treatment planning method optimizes lattice vertex positions as well as other plan variables (e.g., photon fluences or proton spot weights), with optimization objectives for target PVDR and OAR sparing. To satisfy mathematical differentiability, the lattice vertices are approximated in sigmoid functions. For geometric feasibility, proper geometry constraints are enforced onto lattice vertex positions. The lattice position optimization problem is solved by iterative convex relaxation (ICR) method and alternating direction method of multipliers (ADMM), and lattice vertex positions and photon/proton plan variables are jointly updated via the Quasi-Newton method.

resultsBoth photon and proton LATTICE RT were considered, and the optimal lattice vertex positions in terms of plan objectives were found by solving all possible combinations on given discrete positions via exhaustive searching based on standard IMRT/IMPT, which served as the ground truth for validating the new LATTICE method. The results show that the new method indeed provided the optimal lattice vertex positions with the smallest optimization objective, the largest target PVDR, and the best OAR sparing.

conclusionsA new LATTICE treatment planning method is proposed and validated that can optimize lattice vertex positions as well as other photon or proton plan variables for improving target PVDR and OAR sparing.

Indexed as

NeoplasmsProton TherapyRadiotherapy, Intensity-ModulatedHumansProtonsRadiotherapy DosageRadiotherapy Planning, Computer-AssistedProtonsIMPTIMRTLATTICE/GRID radiation therapypeak-to-valley dose ratio (PVDR)spatially fractionated radiotherapy (SFRT)

Identifiers

PMID37357825
PMCPMC11058082

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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.