Evidence map›Paper›PMID 34877458›Full record

ReviewBJR open2021

Treatment of multiple intracranial metastases in radiation oncology: a contemporary review of available technologies.

Christina Skourou, Darina Hickey, Luke Rock, Peter Houston, Philippa Sturt, Siobhra O' Sullivan, Clare Faul, Ian Paddick

Open access · goldAbstract readReview
In one paragraph

Review in BJR open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.5field-weighted citation impact, top 17% 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

10 citing papers in PubMed, 13 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

8 authors at 4 institutions in 2 countries.

Christina SkourouSt. Luke's Radiation Oncology Network, Dublin, Ireland.
Darina HickeyBeacon Hospital, Dublin, Ireland.
Luke RockBeacon Hospital, Dublin, Ireland.
Peter HoustonBeatson West of Scotland Cancer Centre, Glasgow, UK.
Philippa SturtThe Royal Marsden NHS Foundation Trust, London, UK.
Siobhra O' SullivanSt. Luke's Institute of Cancer Research, Dublin, Ireland.
Clare FaulSt. Luke's Radiation Oncology Network, Dublin, Ireland.
Ian PaddickQueen Square Radiosurgery Centre, National Hospital for Neurology and Neurosurgery, London, UK.
Beatson West of Scotland Cancer Centre · GBCancer Trials Ireland · IEQueen Square Radiosurgery Centre · GBRoyal Marsden NHS Foundation Trust · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The use of stereotactic radiosurgery to treat multiple intracranial metastases, frequently concurrently, has become increasingly common. The ability to accurately and safely deliver stereotactic radiosurgery treatment to multiple intracranial metastases (MIM) relies heavily on the technology available for targeting, planning, and delivering the dose. A number of platforms are currently marketed for such applications, each with intrinsic capabilities and limitations. These can be broadly categorised as cobalt-based, linac-based, and robotic. This review describes the most common representative technologies for each type along with their advantages and current limitations as they pertain to the treatment of multiple intracranial metastases. Each technology was used to plan five clinical cases selected to represent the clinical breadth of multiple metastases cases. The reviewers discuss the different strengths and limitations attributed to each technology in the case of MIM as well as the impact of disease-specific characteristics (such as total number of intracranial metastases, their size and relative proximity) on plan and treatment quality.

Identifiers

PMID34877458
PMCPMC8611687
OpenAlexW3197266775

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.