Evidence map›Paper›PMID 38437668›Full record

ReviewNeuro-oncology2024

Novel radiotherapeutic strategies in the management of brain metastases: Challenging the dogma.

Joshua D Palmer, Haley K Perlow, Eric J Lehrer, Zabi Wardak, Hany Soliman

Open access · bronzeAbstract readReview
In one paragraph

Review in Neuro-oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
3.4field-weighted citation impact, top 8% 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

7 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
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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 4 institutions in 2 countries.

Joshua D PalmerDepartment of Radiation Oncology, The Ohio State University Wexner Medical Center, Columbus, Ohio, USA.ORCID 0000-0003-3311-0129
Haley K PerlowDepartment of Radiation Oncology, The Ohio State University Wexner Medical Center, Columbus, Ohio, USA.
Eric J LehrerDepartment of Radiation Oncology, Mayo Clinic, Rochester, Minnesota, USA.
Zabi WardakDepartment of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Hany SolimanDepartment of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada.
The Ohio State University Wexner Medical Center · USMayo Clinic · USSunnybrook Health Science Centre · CAThe University of Texas Southwestern Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The role of radiation therapy in the management of brain metastasis is evolving. Advancements in machine learning techniques have improved our ability to both detect brain metastasis and our ability to contour substructures of the brain as critical organs at risk. Advanced imaging with PET tracers and magnetic resonance imaging-based artificial intelligence models can now predict tumor control and differentiate tumor progression from radiation necrosis. These advancements will help to optimize dose and fractionation for each patient's lesion based on tumor size, histology, systemic therapy, medical comorbidities/patient genetics, and tumor molecular features. This review will discuss the current state of brain directed radiation for brain metastasis. We will also discuss future directions to improve the precision of stereotactic radiosurgery and optimize whole brain radiation techniques to improve local tumor control and prevent cognitive decline without forming necrosis.

Indexed as

Brain NeoplasmsCognitive DysfunctionArtificial IntelligenceBrainHumansNecrosisartificial intelligencebrain metastasescognitive preservationstereotactic radiosurgery

Identifiers

PMID38437668
PMCPMC10911796
OpenAlexW4392383461

What OpenQuestion holds

Textmetadata
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.