Design and evaluation of a magnetic resonance‐guided focused ultrasound system for the treatment of cervical spine pain

The neck-specific MRgFUS system was able to target and ablate the cervical facet joints and monitor the treatment in real-time. The results suggest that this system has the potential for non-invasive treatment of facet joint related neck pain.

Authors

Institutions

Publication Details

Journal
Medical Physics
Published
2025-12-21
DOI
https://doi.org/10.1002/mp.70221
Primary Topic
Spine and Intervertebral Disc Pathology
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Design and evaluation of a magnetic resonance‐guided focused ultrasound system for the treatment of cervical spine pain

Allison Payne, Michelle A. Kline, Lubdha M. Shah, Matthew S. Zabriskie et al.
Medical Physics
Spine and Intervertebral Disc Pathology
article

Design and evaluation of a magnetic resonance‐guided focused ultrasound system for the treatment of cervical spine pain

Allison Payne, Michelle A. Kline, Lubdha M. Shah, Matthew S. Zabriskie, Viola Rieke, Robb Merrill, Henrik Odéen, J. Rock Hadley
article en

Abstract

The neck-specific MRgFUS system was able to target and ablate the cervical facet joints and monitor the treatment in real-time. The results suggest that this system has the potential for non-invasive treatment of facet joint related neck pain.

Medical PhysicsVol. 53(1)
University of Utah (US)
Good health and well-being
Openalex Percentile: Top 31%
Spine and Intervertebral Disc Pathology
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.