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Computational predictions of magnetic resonance acoustic radiation force imaging for breast cancer focused ultrasound therapy.

作者信息

Nelson Chloe K, Kline Michelle, Payne Allison, Dillon Christopher R

机构信息

Department of Mechanical Engineering, Brigham Young University, Provo, UT, USA.

Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, UT, USA.

出版信息

Int J Hyperthermia. 2025 Dec;42(1):2452927. doi: 10.1080/02656736.2025.2452927. Epub 2025 Jan 22.


DOI:10.1080/02656736.2025.2452927
PMID:39842813
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11902895/
Abstract

PURPOSE: In magnetic resonance-guided focused ultrasound (MRgFUS) breast therapies, the focal location must be characterized to guide successful treatment. Focal characterization is difficult because heterogeneous breast tissues introduce phase aberrations that blur and shift the focus and traditional guidance methods do not work in adipose tissues. The purpose of this work is to evaluate numerical simulations of MRgFUS that predict the focal location. Those simulations are compared to clinical magnetic resonance acoustic radiation force imaging (MR-ARFI) data collected during treatment of breast tumors. METHODS: The focal location was evaluated before MRgFUS treatment with MR-ARFI in five patients. The hybrid angular spectrum method (HAS) was applied to simulate pressure fields which were converted to forces, then convolved with a 3D Green's function (with time-of-arrival weighting) to produce a simulation of the MR-ARFI tissue displacement. RESULTS: The focal locations found by the simulations and the MR-ARFI measurements were on average separated by 3.7 mm (SD: 0.9 mm). Characterization of the focal zone spatial distributions had a normalized root mean squared difference of 8.1% (SD: 2.5%). The displacement magnitudes of the simulations underestimated the MR-ARFI measurements by 82% (SD: 5.6%). CONCLUSIONS: The agreement between MR-ARFI measurements and simulations demonstrates that HAS can predict the focal location in heterogeneous tissues, though accurate patient-specific properties are needed to improve predictions of tissue displacement magnitude. Tools developed in this study could be used to streamline MRgFUS treatment planning and optimization, for biomechanical property estimation, and in developing phase aberration correction techniques.

摘要

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Computational predictions of magnetic resonance acoustic radiation force imaging for breast cancer focused ultrasound therapy.

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本文引用的文献

[1]
Radiation enhancement using focussed ultrasound-stimulated microbubbles for breast cancer: A Phase 1 clinical trial.

PLoS Med. 2024-5

[2]
Evaluation of acoustic-thermal simulations of in vivo magnetic resonance guided focused ultrasound ablative therapy.

Int J Hyperthermia. 2024

[3]
An and study on extracorporeal transducer optimization for high-intensity focused ultrasound to improve the safety and efficacy of breast tumor ablation.

Int J Hyperthermia. 2023

[4]
Interventional Treatment Options for Post-mastectomy Pain.

Curr Oncol Rep. 2023-10

[5]
Magic bubbles: utilizing histotripsy to modulate the tumor microenvironment and improve systemic anti-tumor immune responses.

Int J Hyperthermia. 2023

[6]
The Applications of High-Intensity Focused Ultrasound (HIFU) Ablative Therapy in the Treatment of Primary Breast Cancer: A Systematic Review.

Diagnostics (Basel). 2023-8-4

[7]
Technical note: Evaluation of the acoustic radiation force imaging for predicting HIFU focus with in vitro and ex vivo experiments.

Med Phys. 2023-9

[8]
Focused ultrasound ablation surgery for multiple breast fibroadenomas: pathological and follow-up results.

Int J Hyperthermia. 2023

[9]
Magnetic Resonance Acoustic Radiation Force Imaging (MR-ARFI) for the monitoring of High Intensity Focused Ultrasound (HIFU) ablation in anisotropic tissue.

MAGMA. 2023-10

[10]
Validation of a drift-corrected 3D MR temperature imaging sequence for breast MR-guided focused ultrasound treatments.

Magn Reson Imaging. 2023-2

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