Evidence map›Paper›PMID 33416915›Full record

Trial reportStrahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al]2021

Is prone free breathing better than supine deep inspiration breath-hold for left whole-breast radiotherapy? A dosimetric analysis.

Xinzhuo Wang, Odile Fargier-Bochaton, Giovanna Dipasquale, Mohamed Laouiti, Melpomeni Kountouri, Olena Gorobets, Nam P Nguyen, Raymond Miralbell, Vincent Vinh-Hung

Registry-linked trialAbstract readClinical Trial
In one paragraph

Trial report in Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al], 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02237469 (Retrospective Dosimetric Study of Prone Radiotherapy for Breast Cancer), which is not on this map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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.

NCT02237469 unknown statusnot on this map

Retrospective Dosimetric Study of Prone Radiotherapy for Breast Cancer

TypeobservationalSponsorVincent Vinh-HungRan2010 to 2023Enrolled280ConditionsBreast Cancer FemaleArmsProne and supine simulation
3 · Its place in the literature

Who cites it

17 citing papers in PubMed.

  1. Trial
  2. Review
  3. Article
  4. Article
  5. Dosimetric advantage of ipsilateral lung and cardiac sparing of left breast cancer prone position compared with supine free breathing in the COVID-19 era and personalized medicine.Reports of practical oncology and radiotherapy : journal of Greatpoland Cancer Center in Poznan and Polish Society of Radiation Oncology · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Observational
  16. Review
  17. 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

9 authors.

Xinzhuo WangRadiation Oncology, Tianjin Union Medical Center, 300121, Tianjin, China.
Odile Fargier-BochatonRadiation Oncology Department, Geneva University Hospital, Geneva, Switzerland.
Giovanna DipasqualeRadiation Oncology Department, Geneva University Hospital, Geneva, Switzerland.
Mohamed LaouitiRadiation Oncology Department, Geneva University Hospital, Geneva, Switzerland.
Melpomeni KountouriRadiation Oncology Department, Geneva University Hospital, Geneva, Switzerland.
Olena GorobetsCHU de Martinique, Fort-de-France, Martinique, France.ORCID http://orcid.org/0000-0003-2589-092X
Nam P NguyenHoward University, Washington DC, USA.
Raymond MiralbellRadiation Oncology Department, Geneva University Hospital, Geneva, Switzerland. raymond.miralbell@unige.ch.ORCID http://orcid.org/0000-0001-7013-7553
Vincent Vinh-HungRadiation Oncology Department, Geneva University Hospital, Geneva, Switzerland.ORCID http://orcid.org/0000-0002-6403-6120

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe advantage of prone setup compared with supine for left-breast radiotherapy is controversial. We evaluate the dosimetric gain of prone setup and aim to identify predictors of the gain.

methodsLeft-sided breast cancer patients who had dual computed tomography (CT) planning in prone free breathing (FB) and supine deep inspiration breath-hold (DiBH) were retrospectively identified. Radiation doses to heart, lungs, breasts, and tumor bed were evaluated using the recently developed mean absolute dose deviation (MADD). MADD measures how widely the dose delivered to a structure deviates from a reference dose specified for the structure. A penalty score was computed for every treatment plan as a weighted sum of the MADDs normalized to the breast prescribed dose. Changes in penalty scores when switching from supine to prone were assessed by paired t-tests and by the number of patients with a reduction of the penalty score (i.e., gain). Robust linear regression and fractional polynomials were used to correlate patients' characteristics and their respective penalty scores.

resultsAmong 116 patients identified with dual CT planning, the prone setup, compared with supine, was associated with a dosimetric gain in 72 (62.1%, 95% CI: 52.6-70.9%). The most significant predictors of a gain with the prone setup were the breast depth prone/supine ratio (>1.6), breast depth difference (>31 mm), prone breast depth (>77 mm), and breast volume (>282 mL).

conclusionProne compared with supine DiBH was associated with a dosimetric gain in 62.1% of our left-sided breast cancer patients. High pendulousness and moderately large breast predicted for the gain.

Indexed as

AdultAgedAged, 80 and overBreath HoldingFemaleHeartHumansMiddle AgedOrgans at RiskRadiotherapy DosageRadiotherapy Planning, Computer-AssistedRespirationRetrospective StudiesTomography, X-Ray ComputedUnilateral Breast NeoplasmsCardiotoxicity preventionDose volume histogramLinear modelsMean absolute dose deviationRadiation dosageWeighted excess dose deviation score

Identifiers

PMID33416915
PMCPMC7987627

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Registered trials

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.