Evidence map›Paper›PMID 39279835›Full record

ArticleArXiv2024

Deep Brain Ultrasound Ablation Thermal Dose Modeling with

Zhanyue Zhao, Benjamin Szewczyk, Matthew Tarasek, Charles Bales, Yang Wang, Ming Liu, Yiwei Jiang, Chitresh Bhushan, Eric Fiveland, Zahabiya Campwala and 16 more

Abstract readPreprint
In one paragraph

Article in ArXiv, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

26 authors.

Zhanyue ZhaoWorcester Polytechnic Institute, Worcester, MA.
Benjamin SzewczykWorcester Polytechnic Institute, Worcester, MA.
Matthew TarasekGE Global Research Center, Niskayuna, NY.
Charles BalesWorcester Polytechnic Institute, Worcester, MA.
Yang WangWorcester Polytechnic Institute, Worcester, MA.
Ming LiuWorcester Polytechnic Institute, Worcester, MA.
Yiwei JiangWorcester Polytechnic Institute, Worcester, MA.
Chitresh BhushanGE Global Research Center, Niskayuna, NY.
Eric FivelandGE Global Research Center, Niskayuna, NY.
Zahabiya CampwalaDepartment of Neuroscience and Experimental Therapeutics, Albany Medical Center, Albany, NY.
Rachel TrowbridgeDepartment of Neuroscience and Experimental Therapeutics, Albany Medical Center, Albany, NY.
Phillip M JohansenCharles E. Schmidt College of Medicine, Florida Atlantic University, Boca Raton, FL.
Zachary OlmstedDepartment of Neuroscience and Experimental Therapeutics, Albany Medical Center, Albany, NY.
Goutam GhoshalAcoustic MedSystems, Inc., Savoy, IL.
Tamas HeffterAcoustic MedSystems, Inc., Savoy, IL.
Katie GandomiWorcester Polytechnic Institute, Worcester, MA.
Farid TavakkolmoghaddamWorcester Polytechnic Institute, Worcester, MA.
Christopher NyczWorcester Polytechnic Institute, Worcester, MA.
Erin JeannotteAnimal Resources Facility, Albany Medical Center, Albany, NY.
Shweta ManeDepartment of Neuroscience and Experimental Therapeutics, Albany Medical Center, Albany, NY.
Julia NalwalkDepartment of Neuroscience and Experimental Therapeutics, Albany Medical Center, Albany, NY.
E Clif BurdetteAcoustic MedSystems, Inc., Savoy, IL.
Jiang QianDepartment of Neurosurgery, Albany Medical Center, Albany, NY.
Desmond YeoGE Global Research Center, Niskayuna, NY.
Julie PilitsisDepartment of Neurosurgery, Albany Medical Center, Albany, NY.
Gregory S FischerWorcester Polytechnic Institute, Worcester, MA.

Funding

MR-Guided Precision Conformal Ablation Therapy for Brain TumorsR01CA166379 · NCI · WORCESTER POLYTECHNIC INSTITUTE · PI FISCHER, GREGORY S, PILITSIS, JULIE GEORGIA · 2013 to 2022
$6.5M
Physician Assistance Technology in Image-guided Robotic Intervention of ProstateR01EB030539 · NIBIB · BRIGHAM AND WOMEN'S HOSPITAL · PI HATA, NOBUHIKO, ZHANG, HAICHONG · 2021 to 2024
$2.7M
NCI NIH HHS R01 CA166379NIBIB NIH HHS R01 EB030539
6 · The paper itself

Abstract

Intracorporeal needle-based therapeutic ultrasound (NBTU) is a minimally invasive option for intervening in malignant brain tumors, commonly used in thermal ablation procedures. This technique is suitable for both primary and metastatic cancers, utilizing a high-frequency alternating electric field (up to 10 MHz) to excite a piezoelectric transducer. The resulting rapid deformation of the transducer produces an acoustic wave that propagates through tissue, leading to localized high-temperature heating at the target tumor site and inducing rapid cell death. To optimize the design of NBTU transducers for thermal dose delivery during treatment, numerical modeling of the acoustic pressure field generated by the deforming piezoelectric transducer is frequently employed. The bioheat transfer process generated by the input pressure field is used to track the thermal propagation of the applicator over time. Magnetic resonance thermal imaging (MRTI) can be used to experimentally validate these models. Validation results using MRTI demonstrated the feasibility of this model, showing a consistent thermal propagation pattern. However, a thermal damage isodose map is more advantageous for evaluating therapeutic efficacy. To achieve a more accurate simulation based on the actual brain tissue environment, a new finite element method (FEM) simulation with enhanced damage evaluation capabilities was conducted. The results showed that the highest temperature and ablated volume differed between experimental and simulation results by 2.1884°C (3.71%) and 0.0631 cm

Indexed as

Finite element modelingin vivo Swine AblationMagnetic Resonance-Guided Robotically Conformal AblationNeedle-Based Therapeutic Ultrasound (NBTU)

Identifiers

PMID39279835
PMCPMC11398545

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.