Evidence map›Paper›PMID 28052050›Full record

ArticlePhysics in medicine and biology2017

Planning 4D intensity-modulated arc therapy for tumor tracking with a multileaf collimator.

Ying Niu, Gregory T Betzel, Xiaocheng Yang, Minzhi Gui, William C Parke, Byongyong Yi, Cedric X Yu

Abstract read
In one paragraph

Article in Physics in medicine and biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Article
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.

Ying NiuXcision Medical Systems, LLC, Columbia, MD, United States of America.
Gregory T BetzelDepartment of Radiation Oncology, Vantage Oncology, Snellville, GA, United States of America.
Xiaocheng YangRadiation Oncology Center, Medstar Good Samaritan Hospital, Baltimore, MD, United States of America.
Minzhi GuiSaint Agnes Cancer Center, Baltimore, MD, United States of America.
William C ParkeDepartment of Physics, The George Washington University, Washington, DC, United States of America.
Byongyong YiDepartment of Radiation Oncology, University of Maryland School of Medicine, Baltimore, MD, United States of America.
Cedric X YuXcision Medical Systems, LLC, Columbia, MD, United States of America.

Funding

Radiotherapy with Dose-Rate Regulated TrackingR01CA133539 · NCI · UNIVERSITY OF MARYLAND BALTIMORE · PI YI, BYONGYONG, YU, CEDRIC X · 2009 to 2012
$1.4M
NCI NIH HHS R01 CA133539
6 · The paper itself

Abstract

This study introduces a practical four-dimensional (4D) planning scheme of IMAT using 4D computed tomography (4D CT) for planning tumor tracking with dynamic multileaf beam collimation. We assume that patients can breathe regularly, i.e. the same way as during 4D CT with an unchanged period and amplitude, and that the start of 4D-IMAT delivery can be synchronized with a designated respiratory phase. Each control point of the IMAT-delivery process can be associated with an image set of 4D CT at a specified respiratory phase. Target is contoured at each respiratory phase without a motion-induced margin. A 3D-IMAT plan is first optimized on a reference-phase image set of 4D CT. Then, based on the projections of the planning target volume in the beam's eye view at different respiratory phases, a 4D-IMAT plan is generated by transforming the segments of the optimized 3D plan by using a direct aperture deformation method. Compensation for both translational and deformable tumor motion is accomplished, and the smooth delivery of the transformed plan is ensured by forcing connectivity between adjacent angles (control points). It is envisioned that the resultant plans can be delivered accurately using the dose rate regulated tracking method which handles breathing irregularities (Yi et al 2008 Med. Phys. 35 3955-62).This planning process is straightforward and only adds a small step to current clinical 3D planning practice. Our 4D planning scheme was tested on three cases to evaluate dosimetric benefits. The created 4D-IMAT plans showed similar dose distributions as compared with the 3D-IMAT plans on a single static phase, indicating that our method is capable of eliminating the dosimetric effects of breathing induced target motion. Compared to the 3D-IMAT plans with large treatment margins encompassing respiratory motion, our 4D-IMAT plans reduced radiation doses to surrounding normal organs and tissues.

Indexed as

Four-Dimensional Computed TomographyHumansLung NeoplasmsRadiotherapy, Intensity-ModulatedRadiotherapy Planning, Computer-AssistedRespiratory-Gated Imaging Techniques

Identifiers

PMID28052050
PMCPMC5328186

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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.