Best practice in radiofrequency denervation of the lumbar facet joints: a consensus technique.
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ID: 98589
2020
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Abstract
Radiofrequency denervation is used to treat selected people with low back pain. Recent trials have been criticised for using a sub-optimal intervention technique.To achieve consensus on a best practice technique for administering radiofrequency denervation of the lumbar facet joints to selected people with low back pain.A consensus of expert professionals in the area of radiofrequency denervation of the lumbar facet joints.We invited a clinical member from the 30 most active UK departments in radiofrequency pain procedures and two overseas clinicians with specific expertise to a 1 day consensus meeting. Drawing on the known anatomy of the medial branch, the theoretical basis of radiofrequency procedures, a survey of current practice and collective expertise, delegates were facilitated to reach consensus on the best practice technique.The day was attended by 24 UK and international clinical experts. Attendees agreed a best practice technique for the conduct of radiofrequency denervation of the lumbar facet joints.This consensus was based on a 1 day meeting of 24 clinical experts who attended and took part in the discussions. The agreed technique has not been subject to input from a wider community of experts.Current best practice for radiofrequency denervation has been agreed for use in a UK trial. Group members intend immediate implementation in their respective trusts. We propose using this in a planned Randomised Controlled Trial (RCT) of radiofrequency denervation for selected people with low back pain.
| Reference Key |
eldabe2020bestbritish
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| Authors | Eldabe, Sam;Tariq, Anisah;Nath, Sherdil;Gulve, Ashish;Antrobus, Hugh;Baloch, Mohjir;Buczkowski, Piotr;Collighan, Neil;Fernandez, Tacson;Fritz, Ann-Katrin;Humble, Stephen;Huygen, Frank;Krishnan, Murali;Mehta, Vivek;Mishra, Sailesh;Muthukrishnan, Sundar;Snidvongs, Saz;Tamosauskas, Rokas;Underwood, Martin; |
| Journal | British journal of pain |
| Year | 2020 |
| DOI |
10.1177/2049463719840053
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| URL | |
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