Evidence map›Paper›PMID 34432386›Full record

ArticleJournal of medical radiation sciences2022

Comparison of whole breast dosimetry techniques - From 3DCRT to VMAT and the impact on heart and surrounding tissues.

Brock Lamprecht, Erika Muscat, Amanda Harding, Kate Howe, Elizabeth Brown, Tamara Barry, G Tao Mai, Margot Lehman, Anne Bernard, Catriona Hargrave and 1 more

Open access · goldAbstract read
In one paragraph

Article in Journal of medical radiation sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 31% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Heart substructure exposure during left breast cancer radiotherapy: a dosimetric comparison between hybrid VMAT and 3DCRT in free breathing and deep inspiration breath hold (DIBH).Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2025
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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

11 authors at 3 institutions in 1 country.

Brock LamprechtRadiation Oncology Department, Princess Alexandra Hospital, Cancer Services, Brisbane, Queensland, Australia.ORCID https://orcid.org/0000-0002-2234-6729
Erika MuscatRadiation Oncology Department, Princess Alexandra Hospital, Cancer Services, Brisbane, Queensland, Australia.
Amanda HardingRadiation Oncology Department, Princess Alexandra Hospital, Cancer Services, Brisbane, Queensland, Australia.
Kate HoweRadiation Oncology Department, Princess Alexandra Hospital, Cancer Services, Brisbane, Queensland, Australia.
Elizabeth BrownRadiation Oncology Department, Princess Alexandra Hospital, Cancer Services, Brisbane, Queensland, Australia.ORCID https://orcid.org/0000-0001-8360-0578
Tamara BarryRadiation Oncology Department, Princess Alexandra Hospital, Cancer Services, Brisbane, Queensland, Australia.
G Tao MaiRadiation Oncology Department, Princess Alexandra Hospital, Cancer Services, Brisbane, Queensland, Australia.
Margot LehmanRadiation Oncology Department, Princess Alexandra Hospital, Cancer Services, Brisbane, Queensland, Australia.ORCID https://orcid.org/0000-0002-9661-5151
Anne BernardInstitute for Molecular Bioscience, QFAB Bioinformatics,, University of Queensland, Brisbane, Queensland, Australia.
Catriona HargraveRadiation Oncology Department, Princess Alexandra Hospital, Cancer Services, Brisbane, Queensland, Australia.ORCID https://orcid.org/0000-0003-4298-2228
Jennifer HarveyRadiation Oncology Department, Princess Alexandra Hospital, Cancer Services, Brisbane, Queensland, Australia.
Princess Alexandra Hospital · AUThe University of Queensland · AUQueensland University of Technology · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionVarious techniques for whole breast radiation therapy (WBRT) have been reported to increase dose to contralateral tissues. Heart dose is of critical importance as there is no apparent dose threshold below which there is no risk. The aim of this study was to compare planning techniques for WBRT that achieves the best target dosimetry and lowest organ at risk (OAR) dose.

methodsThirty early-stage whole breast patient datasets, 15 each left- and right-sided cases, were retrospectively selected. Five techniques were generated for each data set: three-dimensional conformal radiation therapy (3DCRT), hybrid intensity modulated radiation therapy (HYI), hybrid volumetric modulated arc therapy (VMAT) - (HYV), reduced arc VMAT - bowtie (BT), and BT flattening filter free (FFF) - (BTFFF). Plan goals and OARs were evaluated and compared between techniques.

resultsBT had the highest median conformity index (CI) values (0.82, IQR: 0.80-0.85 left and 0.83, IQR 0.80-0.86 right). BT recorded lower mean heart doses (median value 1.19Gy, IQR: 0.90-1.55), and BTFFF recorded lower heart V2.5

conclusionOverall BT and BTFFF techniques produced lower OAR doses and equivalent PTV coverage for WBRT. BT and BTFFF techniques increased contralateral lung and breast doses; however, these were within prescribed tolerances and comparable to results published in the literature.

Indexed as

Breast NeoplasmsRadiotherapy, ConformalRadiotherapy, Intensity-ModulatedFemaleHumansOrgans at RiskRadiotherapy DosageRadiotherapy Planning, Computer-AssistedRetrospective StudiesBreast < clinical siteplanning < radiation therapytechnique < general

Identifiers

PMID34432386
PMCPMC8892436
OpenAlexW3195242566

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.