Evidence map›Paper›PMID 29537634›Full record

ArticleMedical physics2018

Reference dosimetry data and modeling challenges for Elekta accelerators based on IROC-Houston site visit data.

James R Kerns, David S Followill, Jessica Lowenstein, Andrea Molineu, Paola Alvarez, Paige A Taylor, Stephen F Kry

Open access · greenAbstract read
In one paragraph

Article in Medical physics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
2.8field-weighted citation impact, top 10% 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, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.

  1. Guideline
  2. Trial
  3. Article
  4. Characterizing the interplay of treatment parameters and complexity and their impact on performance on an IROC IMRT phantom using machine learning.Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology · 2023
    Article
  5. Photon beam modeling variations predict errors in IMRT dosimetry audits.Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology · 2022
    Article
  6. Article
  7. Article
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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.

James R KernsDepartment of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA.
David S FollowillDepartment of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA.
Jessica LowensteinDepartment of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA.
Andrea MolineuDepartment of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA.
Paola AlvarezDepartment of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA.
Paige A TaylorDepartment of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA.
Stephen F KryDepartment of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA.
The University of Texas MD Anderson Cancer Center · USThe University of Texas Health Science Center at Houston · US

Funding

IROC: Enhancing local enrolling site radiological data capture capabilities for NCTN trialsU24CA180803 · NCI · AMERICAN COLLEGE OF RADIOLOGY · PI Thomas J. FitzGerald, MICHAEL V KNOPP · 2014 to 2026
$116.2M
Correcting Dose Calculation Errors in Radiation OncologyR01CA214526 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI KRY, STEPHEN F · 2017 to 2020
$594k
NCI NIH HHS R01 CA214526NCI NIH HHS U24 CA180803
6 · The paper itself

Abstract

purposeReference dosimetry data can provide an independent second check of acquired values when commissioning or validating a treatment planning system (TPS). The Imaging and Radiation Oncology Core at Houston (IROC-Houston) has measured numerous linear accelerators throughout its existence. The results of those measurements are given here, comparing accelerators and the agreement of measurement versus institutional TPS calculations.

methodsData from IROC-Houston on-site reviews from 2000 through 2014 were analyzed for all Elekta accelerators, approximately 50. For each, consistent point dose measurements were conducted for several basic parameters in a water phantom, including percentage depth dose, output factors, small-field output factors, off-axis factors, and wedge factors. The results were compared by accelerator type independently for 6, 10, 15, and 18 MV. Distributions of the measurements for each parameter are given, providing the mean and standard deviation. Each accelerator's measurements were also compared to its corresponding TPS calculation from the institution to determine the level of agreement, as well as determining which dosimetric parameters were most often in error.

resultsAccelerators were grouped by head type and reference dosimetric values were compiled. No class of linac had better overall agreement with its TPS, but percentage depth dose and output factors commonly agreed well, while small-field output factors, off-axis factors, and wedge factors often disagreed substantially from their TPS calculations.

conclusionReference data has been collected and analyzed for numerous Elekta linacs, which provide an independent way for a physicist to double-check their own measurements to prevent gross treatment errors. In addition, treatment planning parameters more often in error have been highlighted, providing practical caution for physicists commissioning treatment planning systems for Elekta linacs.

Indexed as

Models, TheoreticalParticle AcceleratorsDatabases, FactualNeoplasmsRadiometryReference StandardsIROC-Houstonlinacpercentage depth dosereference datasmall field

Identifiers

PMID29537634
PMCPMC6592280
OpenAlexW2790370694

What OpenQuestion holds

Textmetadata
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Read underepoch 390

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.