Evidence map›Paper›PMID 39747938›Full record

ArticleScientific reports2025

A pre-clinical MRI-guided all-in-one focused ultrasound system for murine brain studies.

Tarana Parvez Kaovasia, Sarah Duclos, Dinank Gupta, Kourosh Kalayeh, Mario Fabiilli, Douglas C Noll, Jonathan Sukovich, Aditya Pandey, Zhen Xu, Timothy L Hall

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
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

10 authors.

Tarana Parvez KaovasiaDepartment of Biomedical Engineering, University of Michigan, Ann Arbor, MI, USA. taranak@umich.edu.
Sarah DuclosDepartment of Biomedical Engineering, University of Michigan, Ann Arbor, MI, USA.
Dinank GuptaDepartment of Biomedical Engineering, University of Michigan, Ann Arbor, MI, USA.
Kourosh KalayehDepartment of Radiology, University of Michigan, Ann Arbor, MI, USA.
Mario FabiilliDepartment of Radiology, University of Michigan, Ann Arbor, MI, USA.
Douglas C NollDepartment of Biomedical Engineering, University of Michigan, Ann Arbor, MI, USA.
Jonathan SukovichDepartment of Biomedical Engineering, University of Michigan, Ann Arbor, MI, USA.
Aditya PandeyDepartment of Neurosurgery, University of Michigan, Ann Arbor, MI, USA.
Zhen XuDepartment of Biomedical Engineering, University of Michigan, Ann Arbor, MI, USA.
Timothy L HallDepartment of Biomedical Engineering, University of Michigan, Ann Arbor, MI, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper describes the design and initial proof-of-concept of a single pre-clinical transcranial focused ultrasound (FUS) system capable of performing histotripsy (mechanical ablation), hyperthermia, blood-brain barrier opening (BBBO), sonodynamic therapy, or neuromodulation in a murine brain. We have termed it the All-in-One FUS system for murine brain studies, which is the first FUS system of its kind. The 1.5 MHz ultrasound transducer was fabricated and driven using a custom electronic driver to produce 3-cycle pulses with a focal peak-negative pressure (P-) of up to 87 MPa at a low duty cycle (< 0.1%) for histotripsy as well as 50% duty cycle pulsed-ultrasound with a spatial-peak temporal-average intensity (I

Indexed as

BrainMagnetic Resonance ImagingAnimalsBlood-Brain BarrierHigh-Intensity Focused Ultrasound AblationMiceBlood-brain barrier openingBrainHistotripsyHyperthermiaMagnetic resonance imaging (MRI)Therapeutic ultrasound

Identifiers

PMID39747938
PMCPMC11696467

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.