Journal of the Korean Society of Stereotactic and Functional Neurosurgery 2007;3(2):117-120.
Published online September 30, 2007.
SCENAR Therapy for the Treatment of Chronic Pain
Kwang Seok Ko, Kyung Jin Lee, Young Hwan Choi, Won il Joo, Hae Kwan Park, Hyoung Kyun
Department of Neurosurgery, St. Mary's Hospital, The Catholic University of Korea, Seoul, Korea
This study was undertaken to access the therapeutic effect of SCENAR therapy for chronic pain.
From June 2006 until April 2007, 51 patients participated in SCENAR therapy. The group of chronic pain was divided into patient’s diagnosis. Main diagnosis was sprain (n=10), failed back surgery syndrome (n=8), spondylosis (n=10), frozen shoulder (n=6), compression fracture (n=2), spinal cord injury (n=2), herniated nucleus pulposus (n=4), knee joint pain (n=2), tendinitis (n=1), trigeminal neuralgia (n=1), foot pain (n=1), phantom pain (n=1), brachial plexus injury (n=1) , and lymph edema (n=2). Before and after SCENAR therapy, degree of pain relief and therapeutic effect were analyzed by using VAS and DITI.
Of the 51 patients with chronic pain, 14 patients showed“good (27.5%)”, 27 patients,“fair(53%)”, and 10 patients “poor(19.5%)” result. Pain relief effect was“good” in patients with sprain, frozen shoulder, spondylosis, compression fracture, HNP, knee joint pain, phantom pain and lymph edema, while“poor” in patients with FBSS, spinal cord injury, trigeminal neuralgia, and brachial plexus injury. The average thermal difference (ΔT) before treatment was 2.4℃ and 1.3℃ after treatment.
The SCENAR therapy is easy to use, noninvasive, and new therapeutic modality, which would be a good method for treatment of chronic pain.
Key Words: SCENAR, Electrotherapy, Biofeedback, Chronic pain.

Editorial Office
Department of Neurosurgery, Yonsei University College of Medicine
50 Yonsei-ro, Seodaemun-gu, Seoul 03722, Korea
Tel: +82-2-2228-2150    Fax: +82-2-393-9979    E-mail: /                

Copyright © 2024 The Korean Society of Stereotactic and Functional Neurosurgery.

Developed in M2PI

Close layer
prev next