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Clinical Imaging
journal homepage: www.elsevier.com/locate/clinimag
Musculoskeletal and Emergency Imaging
Investigation of genicular neurotomy of the knee: MRI characterization of
anatomy and implications for intervention
Susie S. Kwon
a,
⁎
, J. Levi Chazen
b
, Sirish Kishore
b
, Behnum A. Habibi
a
, Michelle Chi
c
,
Ethan Rand
d
, Ryan Lowder
e
, Jaspal Ricky Singh
e
a
Department of Physical Medicine and Rehabilitation, New York Presbyterian, University Hospital of Columbia and Cornell, 180 Fort Washington Ave, New York, NY
10032, United States of America
b
Department of Radiology, Weill Cornell Medicine, 520 East 70th Street, New York, NY 10065, United States of America
c
Department of Anesthesiology, University of Texas Health Science Center at San Antonio, 7703 Floyd Curl Dr, San Antonio, TX 78229, United States of America
d
Department of Physical Medicine and Rehabilitation, Kaiser Permanente – Los Angeles Medical Center, 1526 Edgemont Street, Los Angeles, CA 90027, United States of
America
e
Department of Physical Medicine and Rehabilitation, Weill Cornell Medicine, 525 East 68th Street, New York, NY 10065, United States of America
ARTICLE INFO
Keywords:
Genicular nerve
Knee pain
Neurotomy
MRI
Anatomy
Intervention
ABSTRACT
Background: Genicular nerve block and subsequent radiofrequency neurotomy (RFN) has emerged as a novel
intervention and alternative for total knee arthroplasty in patients with refractory pain from knee osteoarthritis
(OA). To our knowledge, there is no cited report correlating the accuracy of localizing the genicular nerves using
bony landmarks on magnetic resonance imaging (MRI).
Objectives: To quantify the proximity of superomedial genicular nerve (SMGN), superolateral genicular nerve
(SLGN), and inferomedial genicular nerve (IMGN) from a target point. The target point was an intersection
marked by a line parallel to the diaphysis and a separate line parallel to the metaphyseal flare along the cortical
surfaces of both the femur and tibia.
Design: Retrospective chart review.
Patients: A total of 25 de-identified knee MRIs were reviewed.
Methods: The coronal proton density fat suppressed sequence was used for identification and localization of the
SLGN, SMGN, and IMGN. The neurovascular bundles were traced from posterior location along their origin as
they wrap around the distal diaphysis. The nerve locations were determined by consensus measurements per-
formed by two board-certified radiologists with certificates of added qualification in neuroradiology and in-
terventional radiology. The proximity of each respective genicular nerves was measured by drawing a per-
pendicular line from each genicular nerve to the height of the target point. All measurements were taken on the
mid-coronal view at the point of maximal epiphyseal flare.
Main outcome measurements: Positive values indicated the location of the neurovascular bundle to be superior to
the target point. Negative values indicated the location of the neurovascular bundle to be inferior to the target
point.
Results: The distance between our target point and the inferior border of SLGN ranged from -3 mm to 6 mm.
Twenty-three out of 25 (92%) SLGN lied exactly at or above our target intersection. The distance between our
target point and the inferior border of SMGN ranged from -1 mm to 2 mm with twenty-two out of 25 (88%)
SMGN lied exactly at or above our target point. The distance between our target point and the superior border of
IMGN ranged from 0 mm to 3 mm with all (100%) IMGN lying exactly at or above the target point.
Conclusion: The intersection of the femoral diaphyseal shaft to a line along the metaphyseal flare and the in-
tersection of the tibial diaphyseal shaft to a line along the medial metaphyseal can be used as a target point to
localize the genicular nerves with close proximity.
https://doi.org/10.1016/j.clinimag.2019.09.006
Received 27 May 2019; Received in revised form 22 July 2019; Accepted 23 September 2019
⁎
Corresponding author.
E-mail address: ssk9032@nyp.org (S.S. Kwon).
Clinical Imaging 59 (2020) 78–83
0899-7071/ © 2019 Elsevier Inc. All rights reserved.
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