Evidence map›Paper›PMID 34383232›Full record

ReviewJournal of neuro-oncology2022

Focused ultrasound for functional neurosurgery.

Lior Lev-Tov, Daniel A N Barbosa, Pejman Ghanouni, Casey H Halpern, Vivek P Buch

Abstract readReview
PubMed Publisher
In one paragraph

Review in Journal of neuro-oncology, 2022. 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
1.0field-weighted citation impact, top 21% 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, 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

5 authors at 2 institutions in 1 country.

Lior Lev-TovNeurosurgery, Stanford University, Stanford, CA, USA. liorlt@stanford.edu.ORCID http://orcid.org/0000-0002-5116-254X
Daniel A N BarbosaNeurosurgery, Stanford University, Stanford, CA, USA.
Pejman GhanouniRadiology, Stanford University, Stanford, CA, USA.
Casey H HalpernNeurosurgery, Stanford University, Stanford, CA, USA.
Vivek P BuchNeurosurgery, Stanford University, Stanford, CA, USA.
Stanford University · USStanford Medicine · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionBrain lesioning is a fundamental technique in the functional neurosurgery world. It has been investigated for decades and presented promising results long before novel pharmacological agents were introduced to treat movement disorders, psychiatric disorders, pain, and epilepsy. Ablative procedures were replaced by effective drugs during the 1950s and by Deep Brain Stimulation (DBS) in the 1990s as a reversible neuromodulation technique. In the last decade, however, the popularity of brain lesioning has increased again with the introduction of magnetic resonance-guided focused ultrasound (MRgFUS).

objectiveIn this review, we will cover the current and emerging role of MRgFUS in functional neurosurgery.

methodsLiterature review from PubMed and compilation.

resultsInvestigated since 1930, MRgFUS is a technology enabling targeted energy delivery at the convergence of mechanical sound waves. Based on technological advancements in phased array ultrasound transducers, algorithms accounting for skull penetration by sound waves, and MR imaging for targeting and thermometry, MRgFUS is capable of brain lesioning with sub-millimeter precision and can be used in a variety of clinical indications.

conclusionMRgFUS is a promising technology evolving as a dominant tool in different functional neurosurgery procedures in movement disorders, psychiatric disorders, epilepsy, among others.

Indexed as

Magnetic Resonance ImagingNeurosurgical ProceduresHumansBrain lesioningIncisionless neurosurgeryMRgFUSPsychiatric surgery

Identifiers

PMID34383232
OpenAlexW3191824866

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.