Presentation + Paper
8 March 2019 Validation of a low-cost adjustable, handheld needle guide for spine interventions
Author Affiliations +
Abstract
PURPOSE: MR-guided injections are safer for the patient and the physician than CT-guided interventions but require a significant amount of hand-eye coordination and mental registration by the physician. We propose a low-cost, adjustable, handheld guide to assist the operator in aligning the needle in the correct orientation for the injection. METHODS: The operator adjusts the guide to the desired insertion angle as determined by an MRI image. Next, the operator aligns the guide in the image plane using the horizontal laser and level gradient. The needle is inserted into the sleeve of the guide and inserted into the patient. To evaluate the method, two operators inserted 5 needles in two facet joints of a lumbar spine phantom. Insertion points, final points and trajectory angles were compared to the projected needle trajectory using an electromagnetic tracking system. RESULTS: On their first attempt, operators were able to insert the needle into the facet joint 85% of the time. On average, operators had an insertion point error of 2.92 ± 1.57 mm, a target point error of 3.39 ± 2.28 mm, and a trajectory error of 3.98 ± 2.09 degrees. CONCLUSION: A low-cost, adjustable, handheld guide was developed to assist in correctly positioning a needle in MR guided needle interventions. The guide is as accurate as other needle placement assistance mechanisms, including the biplane laser guides and image overlay devices when used in lumbar facet joint injections in phantoms.
Conference Presentation
© (2019) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Julia Wiercigroch, Zachary Baum, Tamas Ungi, Jan Fritz, and Gabor Fichtinger "Validation of a low-cost adjustable, handheld needle guide for spine interventions", Proc. SPIE 10951, Medical Imaging 2019: Image-Guided Procedures, Robotic Interventions, and Modeling, 109510L (8 March 2019); https://doi.org/10.1117/12.2512562
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CITATIONS
Cited by 1 scholarly publication.
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KEYWORDS
Spine

Computed tomography

Computer aided design

Magnetic resonance imaging

3D modeling

Navigation systems

Overlay metrology

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