Evidence map›Paper›PMID 31032432›Full record

ArticleClinical and translational radiation oncology2019

Evaluation of organ motion-based robust optimisation for VMAT planning for breast and internal mammary chain radiotherapy.

Alex Dunlop, Ruth Colgan, Anna Kirby, Alison Ranger, Irena Blasiak-Wal

Open access · goldAbstract read
In one paragraph

Article in Clinical and translational radiation oncology, 2019. 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
3.6field-weighted citation impact, top 7% 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, 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

5 authors at 2 institutions in 1 country.

Alex DunlopThe Joint Department of Physics, The Institute of Cancer Research and The Royal Marsden Hospital, Downs Rd, Sutton SM2 5PT, UK.
Ruth ColganThe Joint Department of Physics, The Institute of Cancer Research and The Royal Marsden Hospital, Downs Rd, Sutton SM2 5PT, UK.
Anna KirbyThe Royal Marsden NHS Foundation Trust, London, UK.
Alison RangerThe Royal Marsden NHS Foundation Trust, London, UK.
Irena Blasiak-WalThe Joint Department of Physics, The Institute of Cancer Research and The Royal Marsden Hospital, Downs Rd, Sutton SM2 5PT, UK.
Royal Marsden Hospital · GBRoyal Marsden NHS Foundation Trust · GB

Funding

Cancer Research UK 19727
6 · The paper itself

Abstract

aimsIn patients undergoing locoregional radiotherapy (RT) for breast cancer including the internal mammary chain (IMC), VMAT has been shown to be superior to tangential-field radiotherapy in terms of target coverage and minimising dose to heart and lungs. In this study we describe and validate organ motion-based robust optimisation for generating breast and locoregional lymph node VMAT plans that are robust to inter-fractional changes. MATERIALS AND

methodsIn this retrospective study of five patients with left-sided breast cancer requiring locoregional breast radiotherapy including the IMC, non-robust plans were generated in the nominal scenario (planning-CT) and corresponding robust plans were created by optimising over a range of simulated CTs representing worst-case scenario shape changes to the breast. Both plans were re-calculated on CBCT images (n = 67) acquired prior to RT to generate estimates of delivered fractional dose. Plan robustness to inter-fractional changes was assessed in terms of the estimated target coverage and OAR dose.

resultsOrgan motion-based robust optimisation was able to generate clinically acceptable treatment plans in the nominal scenario on the planning CT with no significant differences to OAR dose between the robust and non-robust planning techniques. All plans (robust and non-robust) achieved the mandatory target coverage requirements. Estimates of delivered dose demonstrated a significant improvement in breast target coverage for the robust plans compared to non-robust plans. For the breast CTV, 92% of the robust plans achieved the optimal D98% > 95% clinical goal as compared to 71% of the non-robust plans (p < 0.01). 94% of robust plans achieved acceptable superficial breast coverage, as compared to 55% for the non-robust technique.

conclusionsOrgan motion-based robust optimisation VMAT is able to produce clinically acceptable organ-at-risk sparing plans for locoregional breast radiotherapy (including the IMC) that are robust to inter-fractional changes, therefore reducing the likelihood of reactive adaptive re-planning.

Indexed as

Breast cancerIMCOrgan-motionRobust optimisationVMAT

Identifiers

PMID31032432
PMCPMC6479013
OpenAlexW2937127896

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.