Evidence map›Paper›PMID 39593804›Full record

ArticleBioengineering (Basel, Switzerland)2024

SCOUT: Skull-Corrected Optimization for Ultrasound Transducers.

Zheng Jiang, Michelle Hua, Jacqueline Li, Hieu Le Mau, James Choi, William B Gormley, Jose M Amich, Raahil M Sha

Abstract read
In one paragraph

Article in Bioengineering (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Zheng JiangZeta Surgical Inc., Boston, MA 02111, USA.ORCID 0000-0002-7626-573X
Michelle HuaZeta Surgical Inc., Boston, MA 02111, USA.ORCID 0000-0001-5813-2485
Jacqueline LiZeta Surgical Inc., Boston, MA 02111, USA.
Hieu Le MauZeta Surgical Inc., Boston, MA 02111, USA.ORCID 0009-0002-6913-9230
James ChoiZeta Surgical Inc., Boston, MA 02111, USA.ORCID 0000-0002-4850-8204
William B GormleyHarvard Medical School, Boston, MA 02115, USA.ORCID 0000-0002-0350-9131
Jose M AmichZeta Surgical Inc., Boston, MA 02111, USA.ORCID 0009-0006-8786-2624
Raahil M ShaZeta Surgical Inc., Boston, MA 02111, USA.ORCID 0009-0006-7210-6893

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Transcranial focused ultrasound has been studied for non-invasive and localized treatment of many brain diseases. The biggest challenge for focusing ultrasound onto the brain is the skull, which attenuates ultrasound and changes its propagation direction, leading to pressure drop, focus shift, and defocusing. We presented an optimization algorithm which automatically found the optimal location for placing a single-element focused transducer. At this optimal location, the focus shift was in an acceptable range and the ultrasound was tightly focused. The algorithm simulated the beam profiles of placing the transducer at different locations and compared the results. Locations with a normalized peak-negative pressure (PNP) above threshold were first found. Then, the optimal location was identified as the location with the smallest focal volume. The optimal location found in this study had a normalized PNP of 0.966 and a focal volume of 6.8% smaller than without the skull. A Zeta navigation system was used to automatically place the transducer and track the error caused by movement. These results demonstrated that the algorithm could find the optimal transducer location to avoid large focus shift and defocusing. With the Zeta navigation system, our algorithm can help to make transcranial focused ultrasound treatment safer and more successful.

Indexed as

focused ultrasoundoptimization algorithmsingle-element transducertranscranial treatmenttransducer placement

Identifiers

PMID39593804
PMCPMC11592240

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.