Evidence map›Paper›PMID 33226938›Full record

ArticleIEEE transactions on ultrasonics, ferroelectrics, and frequency control2021

Acoustic Attenuation: Multifrequency Measurement and Relationship to CT and MR Imaging.

Taylor D Webb, Steven A Leung, Pejman Ghanouni, Jeremy J Dahl, Norbert J Pelc, Kim Butts Pauly

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 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
0.9field-weighted citation impact, top 29% 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

12 citing papers in PubMed, 26 citations in OpenAlex.

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  7. The influence of bone model geometries on the determination of skull acoustic properties.International journal for numerical methods in biomedical engineering · 2023
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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

6 authors at 1 institution in 1 country.

Taylor D Webb
Steven A Leung
Pejman Ghanouni
Jeremy J Dahl
Norbert J Pelc
Kim Butts Pauly
Stanford University · US

Funding

The Impact of FUS-Mediated Brain Cancer Therapy on BBB Transport, Cytokines, and Immunocyte TraffickingR01CA227687 · NCI · STANFORD UNIVERSITY · PI BUTTS-PAULY, KIM · 2018 to 2022
$3.1M
MR-guided Focused Ultrasound Neuromodulation of Deep Brain StructuresR01MH111825 · NIMH · STANFORD UNIVERSITY · PI BUTTS-PAULY, KIM · 2016 to 2019
$1.6M
NCI NIH HHS R01 CA227687NIMH NIH HHS R01 MH111825
6 · The paper itself

Abstract

Transcranial magnetic resonance-guided focused ultrasound (tcMRgFUS) is gaining significant acceptance as a noninvasive treatment for motion disorders and shows promise for novel applications such as blood-brain barrier opening for tumor treatment. A typical procedure relies on CT-derived acoustic property maps to simulate the transfer of ultrasound through the skull. Accurate estimates of the acoustic attenuation in the skull are essential to accurate simulations, but there is no consensus about how attenuation should be estimated from CT images and there is interest in exploring MR as a predictor of attenuation in the skull. In this study, we measure the acoustic attenuation at 0.5, 1, and 2.25 MHz in 89 samples taken from two ex vivo human skulls. CT scans acquired with a variety of X-ray energies, reconstruction kernels, and reconstruction algorithms, and MR images acquired with ultrashort and zero echo time sequences are used to estimate the average Hounsfield unit value, MR magnitude, and T2

Indexed as

Magnetic Resonance ImagingTomography, X-Ray ComputedAcousticsAlgorithmsHumansSkull

Identifiers

PMID33226938
PMCPMC8580404
OpenAlexW3107456088

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.