Evidence map›Paper›PMID 32626589›Full record

ArticleNeuro-oncology practice2020

Interval between planning and frameless stereotactic radiosurgery for brain metastases: are our margins still accurate?

Charlotte Bronnimann, Aymeri Huchet, Julie Benech-Faure, Caroline Dutriaux, Olivier Saut, Eivind Blais, Olivier Mollier, Renaud Trouette, Veronique Vendrely

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Article in Neuro-oncology practice, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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.

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

6 citing papers in PubMed.

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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

9 authors.

Charlotte BronnimannCentre Hospitalier Universitaire (CHU)-Bordeaux, Oncology Department, France.
Aymeri HuchetCHU-Bordeaux, Radiotherapy Department, France.
Julie Benech-FaureCHU-Bordeaux, Radiotherapy Department, France.
Caroline DutriauxCentre Hospitalier Universitaire (CHU)-Bordeaux, Oncology Department, France.
Olivier SautINRIA Bordeaux Sud-Ouest, France.
Eivind BlaisCHU-Bordeaux, Radiotherapy Department, France.
Olivier MollierCHU-Bordeaux, Neurosurgery Department, France.
Renaud TrouetteCHU-Bordeaux, Radiotherapy Department, France.
Veronique VendrelyCHU-Bordeaux, Radiotherapy Department, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAdvances in intracranial stereotactic radiosurgery (SRS) have led to dramatically reduced planning target volume (PTV) margins. However, tumor growth between planning and treatment may lead to treatment failure. Our purpose was to assess the kinetics of tumor growth before SRS for brain metastases.

methodsThis retrospective, monocentric study included all consecutive patients (pts) treated for brain metastases secondary to melanoma (ML) and non-small cell lung cancer (NSCLC) between June 2015 and May 2016. All pts underwent diagnostic brain imaging and a radiosurgery planning MRI, during which gross tumor volume (GTV) was delineated. Linear and exponential models were used to extrapolate a theoretical GTV at first day of treatment, and theoretical time to outgrow the PTV margins.

resultsTwenty-three ML and 31 NSCLC brain metastases (42 pts, 84 brain imaging scans) were analyzed. Comparison of GTV at diagnosis and planning showed increased tumor volume for 20 ML pts (96%) and 22 NSCLC pts (71%). The shortest time to outgrow a 1 mm margin was 6 days and 3 days for ML and 14 and 8 days for NSCLC with linear and exponential models, respectively.

conclusionsPhysicians should bear in mind the interval between SRS planning and treatment. A mathematical model could screen rapidly progressing tumors.

Indexed as

brain metastasesintervalmarginsstereotactic radiosurgery

Identifiers

PMID32626589
PMCPMC7318853

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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.