Evidence map›Paper›PMID 31111961›Full record

ArticleMedical physics2019

Objective assessment of the effects of tumor motion in radiation therapy.

Yijun Ding, Harrison H Barrett, Matthew A Kupinski, Yevgeniy Vinogradskiy, Moyed Miften, Bernard L Jones

Open access · bronzeAbstract read
In one paragraph

Article in Medical physics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.9field-weighted citation impact, top 26% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. 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

6 authors at 3 institutions in 1 country.

Yijun DingCollege of Optical Sciences, University of Arizona, Tucson, AZ, 85719, USA.
Harrison H BarrettCollege of Optical Sciences, University of Arizona, Tucson, AZ, 85719, USA.
Matthew A KupinskiCollege of Optical Sciences, University of Arizona, Tucson, AZ, 85719, USA.
Yevgeniy VinogradskiyDepartment of Radiation Oncology, University of Colorado School of Medicine, Aurora, CO, 80045, USA.
Moyed MiftenDepartment of Radiation Oncology, University of Colorado School of Medicine, Aurora, CO, 80045, USA.
Bernard L JonesDepartment of Radiation Oncology, University of Colorado School of Medicine, Aurora, CO, 80045, USA.
University of Colorado Denver · USUniversity of Arizona · USBanner - University Medical Center Tucson · US

Funding

Paul Calabresis Award in Clinical Oncology ResearchK12CA086913 · NCI · UNIVERSITY OF COLORADO DENVER · PI VIRGINIA F. BORGES, Jill E Slansky · 2000 to 2026
$17.8M
CENTER FOR GAMMA RAY IMAGINGP41EB002035 · NIBIB · UNIVERSITY OF ARIZONA · PI BARRETT, HARRISON H, FURENLID, LARS R · 2003 to 2018
$17.7M
SPECT Imaging and Parallel ComputingR37EB000803 · NIBIB · UNIVERSITY OF ARIZONA · PI BARRETT, HARRISON H · 2002 to 2011
$5.2M
SPECT Imaging and Parallel ComputingR01EB000803 · NIBIB · UNIVERSITY OF ARIZONA · PI CAUCCI, LUCA · 2012 to 2020
$4.2M
Boettcher FoundationNCI NIH HHS K12 CA086913NIBIB NIH HHS P41 EB002035NIBIB NIH HHS R01 EB000803NIBIB NIH HHS R37 EB000803University of ArizonaUniversity of Colorado IRG#57-001-53University of Colorado NIH K12-CA086913Varian Medical Systems
6 · The paper itself

Abstract

purposeInternal organ motion reduces the accuracy and efficacy of radiation therapy. However, there is a lack of tools to objectively (based on a medical or scientific task) assess the dosimetric consequences of motion, especially on an individual basis. We propose to use therapy operating characteristic (TOC) analysis to quantify the effects of motion on treatment efficacy for individual patients. We demonstrate the application of this tool with pancreatic stereotactic body radiation therapy (SBRT) clinical data and explore the origin of motion sensitivity.

methodsThe technique is described as follows. (a) Use tumor-motion data measured from patients to calculate the motion-convolved dose of the gross tumor volume (GTV) and the organs at risk (OARs). (b) Calculate tumor control probability (TCP) and normal tissue complication probability (NTCP) from the motion-convolved dose-volume histograms. (c) Construct TOC curves from TCP and NTCP models. (d) Calculate the area under the TOC curve (AUTOC) and use it as a figure of merit for treatment efficacy. We used tumor motion data measured from patients to calculate the relation between AUTOC and motion magnitude for 25 pancreatic SBRT treatment plans. Furthermore, to explore the driving factor of motion sensitivity of a given plan, we compared the dose distribution of motion-sensitive plans and motion-robust plans and studied the dependence of motion sensitivity to motion directions.

resultsOur technique is able to recognize treatment plans that are sensitive to motion. Under the presence of motion, the treatment efficacy of some plans changes from providing high tumor control and low risks of complications to providing no tumor control and high risks of side effects. Several treatment plans experience falloffs in AUTOC at a smaller magnitude of motion than other plans. In our dataset, a potential indicator of a motion-sensitive treatment plan is that the duodenum is in proximity to the tumor in the SI direction.

conclusionsThe TOC framework can serve as a tool to quantify the effects of internal organ motion in radiation therapy. With pancreatic SBRT clinical data, we applied this tool to study the change in treatment efficacy induced by motion for individual treatment plans. This framework could potentially be used clinically to understand the effects of motion in an individual patient and to design a patient-specific motion management plan. This framework could also be used in research to evaluate different components of the treatment process, such as motion-management techniques, treatment-planning algorithms, and treatment margins.

Indexed as

MovementHumansPancreatic NeoplasmsRadiosurgeryRadiotherapy DosageRadiotherapy Planning, Computer-AssistedNTCPTCPTOCtreatment efficacytumor motion

Identifiers

PMID31111961
PMCPMC6625917
OpenAlexW2945975333

What OpenQuestion holds

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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.