Evidence map›Paper›PMID 34166187›Full record

ArticleIEEE transactions on ultrasonics, ferroelectrics, and frequency control2021

3-D Transcranial Microbubble Cavitation Localization by Four Sensors.

Zhongtao Hu, Lu Xu, Chih-Yen Chien, Yaoheng Yang, Yan Gong, Dezhuang Ye, Christopher Pham Pacia, Hong Chen

Open access · greenAbstract read
In one paragraph

Article in IEEE transactions on ultrasonics, ferroelectrics, and frequency control, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.1field-weighted citation impact, top 25% 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

11 citing papers in PubMed, 18 citations in OpenAlex.

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  5. Therapeutic ultrasound transducer technology and monitoring techniques: a review with clinical examples.International journal of hyperthermia : the official journal of European Society for Hyperthermic Oncology, North American Hyperthermia Group · 2024
    Review
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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 1 institution in 1 country.

Zhongtao Hu
Lu Xu
Chih-Yen Chien
Yaoheng Yang
Yan Gong
Dezhuang Ye
Christopher Pham Pacia
Hong Chen
Washington University in St. Louis · US

Funding

Image-guided focused ultrasound-mediated intranasal brain drug delivery technique (FUSIN)R01EB027223 · NIBIB · WASHINGTON UNIVERSITY · PI Hong Chen · 2019 to 2026
$4.3M
Focused ultrasound-enabled brain tumor liquid biopsy (FUS-LBx) supplementR01EB030102 · NIBIB · WASHINGTON UNIVERSITY · PI Hong Chen · 2020 to 2026
$4.3M
FOCUS: FUNCTIONAL OPTICAL IMAGING FEEDBACK-CONTROLLED CELLULAR-LEVEL ULTRASOUND STIMULATIONR01MH116981 · NIMH · WASHINGTON UNIVERSITY · PI CHEN, HONG · 2018 to 2021
$2.8M
Sonobiopsy for Noninvasive Genetic Evaluation of Glioblastoma PatientsR01CA276174 · NCI · WASHINGTON UNIVERSITY · PI Hong Chen, Eric CLAUDE Leuthardt · 2023 to 2026
$2.6M
Sonogenetics 2.0R01NS128461 · NINDS · WASHINGTON UNIVERSITY · PI Hong Chen · 2023 to 2026
$2.5M
iSonogenetics for incisionless cell-type-specific neuromodulation of non-human primate brainsUG3MH126861 · NIMH · WASHINGTON UNIVERSITY · PI CHEN, HONG, MONOSOV, ILYA E. · 2021 to 2023
$2.1M
NCI NIH HHS R01 CA276174NIBIB NIH HHS R01 EB027223NIBIB NIH HHS R01 EB030102NIMH NIH HHS R01 MH116981NIMH NIH HHS UG3 MH126861NINDS NIH HHS R01 NS128461
6 · The paper itself

Abstract

Cavitation is the fundamental physical mechanism of various focused ultrasound (FUS)-mediated therapies in the brain. Accurately knowing the three-dimensional (3-D) location of cavitation in real-time can improve the targeting accuracy and avoid off-target tissue damage. Existing techniques for 3-D passive transcranial cavitation detection require the use of expensive and complicated hemispherical phased arrays with 128 or 256 elements. The objective of this study was to investigate the feasibility of using four sensors for transcranial 3-D localization of cavitation. Differential microbubble cavitation detection combined with the time difference of arrival algorithm was developed for the localization using the four sensors. Numerical simulation using k-Wave toolbox was performed to validate the proposed method for transcranial cavitation source localization. The sensors with a center frequency of 2.25 MHz and a 6 dB bandwidth of 1.39 MHz were used to locate cavitation generated by FUS (500 kHz) sonication of microbubbles that were injected into a tube positioned inside an ex vivo human skullcap. Cavitation emissions from the microbubbles were detected transcranially using the four sensors. Both simulation and experimental studies found that the proposed method achieved accurate 3-D cavitation localization. When the cavitation source was located within 30 mm from the geometric center of the sensor network, the accuracy of the localization method with the skull was measured to be 1.9±1.0 mm, which was not significantly different from that without the skull (1.7 ± 0.5 mm). The accuracy decreased as the cavitation source was away from the geometric center of the sensor network. It also decreased as the pulse length increased. Its accuracy was not significantly affected by the sensor position relative to the skull. In summary, four sensors combined with the proposed localization algorithm offer a simple approach for 3-D transcranial cavitation localization.

Indexed as

MicrobubblesSkullAlgorithmsBrainHumansSonication

Identifiers

PMID34166187
PMCPMC8808337
OpenAlexW3175133817

What OpenQuestion holds

Textmetadata
LicenceTDM
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.