Evidence map›Paper›PMID 26843252›Full record

ArticleMedical physics2016

A novel software and conceptual design of the hardware platform for intensity modulated radiation therapy.

Dan Nguyen, Dan Ruan, Daniel O'Connor, Kaley Woods, Daniel A Low, Salime Boucher, Ke Sheng

Open access · greenAbstract read
In one paragraph

Article in Medical physics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
4.0field-weighted citation impact, top 8% of its field
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

10 citing papers in PubMed, 18 citations in OpenAlex.

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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

7 authors at 2 institutions in 1 country.

Dan NguyenDepartment of Radiation Oncology, University of California, Los Angeles, Los Angeles, California 90024.
Dan RuanDepartment of Radiation Oncology, University of California, Los Angeles, Los Angeles, California 90024.
Daniel O'ConnorDepartment of Radiation Oncology, University of California, Los Angeles, Los Angeles, California 90024.
Kaley WoodsDepartment of Radiation Oncology, University of California, Los Angeles, Los Angeles, California 90024.
Daniel A LowDepartment of Radiation Oncology, University of California, Los Angeles, Los Angeles, California 90024.
Salime BoucherRadiaBeam Technologies, Santa Monica, California 90404.
Ke ShengDepartment of Radiation Oncology, University of California, Los Angeles, Los Angeles, California 90024.
University of California, Los Angeles · USRadiaBeam Technologies (United States) · US

Funding

Motion Management of Pancreatic Cancer in MRI-Guided RadiotherapyR01CA188300 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI SHENG, KE · 2015 to 2019
$1.7M
(NCI) Developing an Intermediate Energy Linac for Robotic RadiotherapyR43CA183390 · NCI · RADIABEAM TECHNOLOGIES, LLC · PI BOUCHER, SALIME · 2015 to 2016
$265k
NCI NIH HHS R01 CA188300NCI NIH HHS R01CA188300NCI NIH HHS R43 CA183390NCI NIH HHS R43CA183390
6 · The paper itself

Abstract

purposeTo deliver high quality intensity modulated radiotherapy (IMRT) using a novel generalized sparse orthogonal collimators (SOCs), the authors introduce a novel direct aperture optimization (DAO) approach based on discrete rectangular representation.

methodsA total of seven patients-two glioblastoma multiforme, three head & neck (including one with three prescription doses), and two lung-were included. 20 noncoplanar beams were selected using a column generation and pricing optimization method. The SOC is a generalized conventional orthogonal collimators with N leaves in each collimator bank, where N = 1, 2, or 4. SOC degenerates to conventional jaws when N = 1. For SOC-based IMRT, rectangular aperture optimization (RAO) was performed to optimize the fluence maps using rectangular representation, producing fluence maps that can be directly converted into a set of deliverable rectangular apertures. In order to optimize the dose distribution and minimize the number of apertures used, the overall objective was formulated to incorporate an L2 penalty reflecting the difference between the prescription and the projected doses, and an L1 sparsity regularization term to encourage a low number of nonzero rectangular basis coefficients. The optimization problem was solved using the Chambolle-Pock algorithm, a first-order primal-dual algorithm. Performance of RAO was compared to conventional two-step IMRT optimization including fluence map optimization and direct stratification for multileaf collimator (MLC) segmentation (DMS) using the same number of segments. For the RAO plans, segment travel time for SOC delivery was evaluated for the N = 1, N = 2, and N = 4 SOC designs to characterize the improvement in delivery efficiency as a function of N.

resultsComparable PTV dose homogeneity and coverage were observed between the RAO and the DMS plans. The RAO plans were slightly superior to the DMS plans in sparing critical structures. On average, the maximum and mean critical organ doses were reduced by 1.94% and 1.44% of the prescription dose. The average number of delivery segments was 12.68 segments per beam for both the RAO and DMS plans. The N = 2 and N = 4 SOC designs were, on average, 1.56 and 1.80 times more efficient than the N = 1 SOC design to deliver. The mean aperture size produced by the RAO plans was 3.9 times larger than that of the DMS plans.

conclusionsThe DAO and dose domain optimization approach enabled high quality IMRT plans using a low-complexity collimator setup. The dosimetric quality is comparable or slightly superior to conventional MLC-based IMRT plans using the same number of delivery segments. The SOC IMRT delivery efficiency can be significantly improved by increasing the leaf numbers, but the number is still significantly lower than the number of leaves in a typical MLC.

Indexed as

SoftwareAlgorithmsEquipment DesignHumansNeoplasmsRadiotherapy, Intensity-ModulatedRadiotherapy Planning, Computer-Assisted

Identifiers

PMID26843252
PMCPMC4733088
OpenAlexW2269145643

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

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.