Evidence map›Paper›PMID 25343028›Full record

ArticleJournal of therapeutic ultrasound2014

Treatment envelope evaluation in transcranial magnetic resonance-guided focused ultrasound utilizing 3D MR thermometry.

Henrik Odéen, Joshua de Bever, Scott Almquist, Alexis Farrer, Nick Todd, Allison Payne, John W Snell, Douglas A Christensen, Dennis L Parker

Open access · hybridAbstract read
In one paragraph

Article in Journal of therapeutic ultrasound, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.9field-weighted citation impact, top 14% 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

14 citing papers in PubMed, 32 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

9 authors at 3 institutions in 1 country.

Henrik OdéenUtah Center for Advanced Imaging Research, Department of Radiology, University of Utah, Salt Lake City, Utah 84108, USA ; Department of Physics and Astronomy, University of Utah, Salt Lake City, Utah 84112, USA.
Joshua de BeverSchool of Computing, University of Utah, Salt Lake City, Utah 84112, USA.
Scott AlmquistSchool of Computing, University of Utah, Salt Lake City, Utah 84112, USA.
Alexis FarrerDepartment of Bioengineering, University of Utah, Salt Lake City, Utah 84112, USA.
Nick ToddUtah Center for Advanced Imaging Research, Department of Radiology, University of Utah, Salt Lake City, Utah 84108, USA.
Allison PayneUtah Center for Advanced Imaging Research, Department of Radiology, University of Utah, Salt Lake City, Utah 84108, USA.
John W SnellFocused Ultrasound Foundation, Charlottesville, Virginia 22903, USA ; Department of Neurological Surgery, University of Virginia, Charlottesville, Virginia 22908, USA.
Douglas A ChristensenDepartment of Bioengineering, University of Utah, Salt Lake City, Utah 84112, USA ; Department of Electrical and Computer Engineering, University of Utah, Salt Lake City, Utah 84112, USA.
Dennis L ParkerUtah Center for Advanced Imaging Research, Department of Radiology, University of Utah, Salt Lake City, Utah 84108, USA.
University of Utah · USAdvanced Imaging Research (United States) · USFocused Ultrasound Foundation · US

Funding

Non-Invasive MRI-Guided HIFU for Breast Cancer TherapyR01CA172787 · NCI · UNIVERSITY OF UTAH · PI PARKER, DENNIS L · 2013 to 2017
$2.7M
NCI NIH HHS R01 CA172787
6 · The paper itself

Abstract

backgroundCurrent clinical targets for transcranial magnetic resonance-guided focused ultrasound (tcMRgFUS) are all located close to the geometric center of the skull convexity, which minimizes challenges related to focusing the ultrasound through the skull bone. Non-central targets will have to be reached to treat a wider variety of neurological disorders and solid tumors. Treatment envelope studies utilizing two-dimensional (2D) magnetic resonance (MR) thermometry have previously been performed to determine the regions in which therapeutic levels of FUS can currently be delivered. Since 2D MR thermometry was used, very limited information about unintended heating in near-field tissue/bone interfaces could be deduced.

methodsIn this paper, we present a proof-of-concept treatment envelope study with three-dimensional (3D) MR thermometry monitoring of FUS heatings performed in a phantom and a lamb model. While the moderate-sized transducer used was not designed for transcranial geometries, the 3D temperature maps enable monitoring of the entire sonication field of view, including both the focal spot and near-field tissue/bone interfaces, for full characterization of all heating that may occur. 3D MR thermometry is achieved by a combination of k-space subsampling and a previously described temporally constrained reconstruction method.

resultsWe present two different types of treatment envelopes. The first is based only on the focal spot heating-the type that can be derived from 2D MR thermometry. The second type is based on the relative near-field heating and is calculated as the ratio between the focal spot heating and the near-field heating. This utilizes the full 3D MR thermometry data achieved in this study.

conclusionsIt is shown that 3D MR thermometry can be used to improve the safety assessment in treatment envelope evaluations. Using a non-optimal transducer, it is shown that some regions where therapeutic levels of FUS can be delivered, as suggested by the first type of envelope, are not necessarily safely treated due to the amount of unintended near-field heating occurring. The results presented in this study highlight the need for 3D MR thermometry in tcMRgFUS.

Indexed as

BrainMR thermometryPRFtcMRgFUSTreatment envelope

Identifiers

PMID25343028
PMCPMC4199783
OpenAlexW2153630196

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.