Evidence map›Paper›PMID 33639959›Full record

ArticleRadiation oncology (London, England)2021

Dosimetric study between a single isocenter dynamic conformal arc therapy technique and Gamma Knife radiosurgery for multiple brain metastases treatment: impact of target volume geometrical characteristics.

Michel Chea, Karen Fezzani, Julian Jacob, Marguerite Cuttat, Mathilde Croisé, Jean-Marc Simon, Loïc Feuvret, Charles-Ambroise Valery, Philippe Maingon, Mohamed-Amine Benadjaoud and 1 more

Open access · goldAbstract readComparative Study
In one paragraph

Article in Radiation oncology (London, England), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
6.3field-weighted citation impact, top 3% 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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 31 citations in OpenAlex.

  1. Pooled it
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  12. Impact of MLC error on dose distribution in SRS treatment of single-isocenter multiple brain metastases: comparison between DCAT and VMAT techniques.Reports of practical oncology and radiotherapy : journal of Greatpoland Cancer Center in Poznan and Polish Society of Radiation Oncology · 2024
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  15. Planning issues on linac-based stereotactic radiotherapy.World journal of clinical cases · 2022
    Review
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  20. International journal of health sciences
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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 2 institutions in 1 country.

Michel CheaRadiation Oncology Department, Pitié-Salpêtrière Hospital, AP-HP Sorbonne University, 47-83 Boulevard de l'Hôpital, 75651, Paris Cedex 13, France. michel.chea@aphp.fr.ORCID http://orcid.org/0000-0001-8818-6345
Karen FezzaniRadiation Oncology Department, Pitié-Salpêtrière Hospital, AP-HP Sorbonne University, 47-83 Boulevard de l'Hôpital, 75651, Paris Cedex 13, France.
Julian JacobRadiation Oncology Department, Pitié-Salpêtrière Hospital, AP-HP Sorbonne University, 47-83 Boulevard de l'Hôpital, 75651, Paris Cedex 13, France.
Marguerite CuttatNeurosurgery Department, Pitié-Salpêtrière Hospital, AP-HP Sorbonne University, Paris, France.
Mathilde CroiséRadiation Oncology Department, Pitié-Salpêtrière Hospital, AP-HP Sorbonne University, 47-83 Boulevard de l'Hôpital, 75651, Paris Cedex 13, France.
Jean-Marc SimonRadiation Oncology Department, Pitié-Salpêtrière Hospital, AP-HP Sorbonne University, 47-83 Boulevard de l'Hôpital, 75651, Paris Cedex 13, France.
Loïc FeuvretRadiation Oncology Department, Pitié-Salpêtrière Hospital, AP-HP Sorbonne University, 47-83 Boulevard de l'Hôpital, 75651, Paris Cedex 13, France.
Charles-Ambroise ValeryNeurosurgery Department, Pitié-Salpêtrière Hospital, AP-HP Sorbonne University, Paris, France.
Philippe MaingonRadiation Oncology Department, Pitié-Salpêtrière Hospital, AP-HP Sorbonne University, 47-83 Boulevard de l'Hôpital, 75651, Paris Cedex 13, France.
Mohamed-Amine BenadjaoudPSE-SANTE/SERAMED, Radiation Protection and Nuclear Safety Institute, Fontenay aux Roses, France.
Catherine JennyRadiation Oncology Department, Pitié-Salpêtrière Hospital, AP-HP Sorbonne University, 47-83 Boulevard de l'Hôpital, 75651, Paris Cedex 13, France.
Sorbonne Université · FRInstitut de Radioprotection et de Sûreté Nucléaire · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo compare linac-based mono-isocentric radiosurgery with Brainlab Elements Multiple Brain Mets (MBM) SRS and the Gamma Knife using a specific statistical method and to analyze the dosimetric impact of the target volume geometric characteristics. A dose fall-off analysis allowed to evaluate the Gradient Index relevancy for the dose spillage characterization. MATERIAL AND

methodsTreatments were planned on twenty patients with three to nine brain metastases with MBM 2.0 and GammaPlan 11.0. Ninety-five metastases ranging from 0.02 to 9.61 cc were included. Paddick Index (PI), Gradient Index (GI), dose fall-off, volume of healthy brain receiving more than 12 Gy (V

resultsFor mono-isocentric linac-based radiosurgery, the IDL around 70-75% was the best compromise found. For both techniques, the GI and the dose fall-off decreased with the target volume. In comparison, PI was slightly improved with MBM for targets < 1 cc or SI > 0.78. GI was improved with GP for targets < 2.5 cc. The V

conclusionsThe dose fall-off and the V

Indexed as

BrainBrain NeoplasmsHumansOrgans at RiskRadiometryRadiosurgeryRadiotherapy DosageRadiotherapy Planning, Computer-AssistedDose fall-offGammaknifeGradient indexMultiple brain metastasesSingle-isocenterStereotactic radiosurgeryTarget volume effect

Identifiers

PMID33639959
PMCPMC7912819
OpenAlexW3135127654

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.