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Cohen SP, Bhaskar A, Bhatia A, Buvanendran A, Deer T, Garg S, Hooten WM, Hurley RW, Kennedy DJ, McLean BC, Moon JY, Narouze S, Pangarkar S, Provenzano DA, Rauck R, Sitzman BT, Smuck M, van Zundert J, Vorenkamp K, Wallace MS, Zhao Z. Consensus practice guidelines on interventions for lumbar facet joint pain from a multispecialty, international working group. Reg Anesth Pain Med 2020; 45:424-467. [PMID: 32245841 PMCID: PMC7362874 DOI: 10.1136/rapm-2019-101243] [Citation(s) in RCA: 125] [Impact Index Per Article: 31.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2019] [Revised: 02/07/2020] [Accepted: 02/11/2020] [Indexed: 02/07/2023]
Abstract
BACKGROUND The past two decades have witnessed a surge in the use of lumbar facet blocks and radiofrequency ablation (RFA) to treat low back pain (LBP), yet nearly all aspects of the procedures remain controversial. METHODS After approval by the Board of Directors of the American Society of Regional Anesthesia and Pain Medicine, letters were sent to a dozen pain societies, as well as representatives from the US Departments of Veterans Affairs and Defense. A steering committee was convened to select preliminary questions, which were revised by the full committee. Questions were assigned to 4-5 person modules, who worked with the Subcommittee Lead and Committee Chair on preliminary versions, which were sent to the full committee. We used a modified Delphi method, whereby the questions were sent to the committee en bloc and comments were returned in a non-blinded fashion to the Chair, who incorporated the comments and sent out revised versions until consensus was reached. RESULTS 17 questions were selected for guideline development, with 100% consensus achieved by committee members on all topics. All societies except for one approved every recommendation, with one society dissenting on two questions (number of blocks and cut-off for a positive block before RFA), but approving the document. Specific questions that were addressed included the value of history and physical examination in selecting patients for blocks, the value of imaging in patient selection, whether conservative treatment should be used before injections, whether imaging is necessary for block performance, the diagnostic and prognostic value of medial branch blocks (MBB) and intra-articular (IA) injections, the effects of sedation and injectate volume on validity, whether facet blocks have therapeutic value, what the ideal cut-off value is for a prognostic block, how many blocks should be performed before RFA, how electrodes should be oriented, the evidence for larger lesions, whether stimulation should be used before RFA, ways to mitigate complications, if different standards should be applied to clinical practice and clinical trials and the evidence for repeating RFA (see table 12 for summary). CONCLUSIONS Lumbar medial branch RFA may provide benefit to well-selected individuals, with MBB being more predictive than IA injections. More stringent selection criteria are likely to improve denervation outcomes, but at the expense of more false-negatives. Clinical trials should be tailored based on objectives, and selection criteria for some may be more stringent than what is ideal in clinical practice.
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Affiliation(s)
- Steven P Cohen
- Anesthesiology, Pain Medicine Division, Johns Hopkins School of Medicine, Baltimore, Maryland, USA
| | - Arun Bhaskar
- Anesthesiology, Imperial College Healthcare NHS Trust Haemodialysis Clinic Hayes Satellite Unit, Hayes, UK
| | - Anuj Bhatia
- Anesthesia and Pain Management, University of Toronto and University Health Network-Toronto Western Hospital, Toronto, Ontario, Canada
| | | | - Tim Deer
- Spine & Nerve Centers, Charleston, West Virginia, USA
| | - Shuchita Garg
- Anesthesiology, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA
| | | | - Robert W Hurley
- Anesthesiology, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - David J Kennedy
- Physical Medicine & Rehabilitation, Vanderbilt University School of Medicine, Nashville, Tennessee, USA
| | - Brian C McLean
- Anesthesiology, Tripler Army Medical Center, Tripler Army Medical Center, Hawaii, USA
| | - Jee Youn Moon
- Dept of Anesthesiology, Seoul National University College of Medicine, Seoul, The Republic of Korea
| | - Samer Narouze
- Center for Pain Medicine, Summa Western Reserve Hospital, Cuyahoga Falls, Ohio, USA
| | - Sanjog Pangarkar
- Dept of Physical Medicine and Rehabilitation, VA Greater Los Angeles Healthcare System, Los Angeles, California, USA
| | | | - Richard Rauck
- Carolinas Pain Institute, Winston Salem, North Carolina, USA
| | | | - Matthew Smuck
- Dept.of Orthopaedic Surgery, Division of Physical Medicine & Rehabilitation, Stanford Medicine, Stanford, California, USA
| | - Jan van Zundert
- Anesthesiology, Critical Care and Multidisciplinary Pain Center, Ziekenhuis Oost-Limburg, Lanaken, Belgium
- Anesthesiology and Pain Medicine, Maastricht University Medical Center, Maastricht, The Netherlands
| | | | - Mark S Wallace
- Anesthesiology, UCSD Medical Center-Thornton Hospital, San Diego, California, USA
| | - Zirong Zhao
- Neurology, VA Healthcare Center District of Columbia, Washington, District of Columbia, USA
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BERTACCINI DANIELE, CALVETTI DANIELA. Fast simulation of solid tumors thermal ablation treatments with a 3D reaction diffusion model. Comput Biol Med 2006; 37:1173-82. [PMID: 17173888 PMCID: PMC2045071 DOI: 10.1016/j.compbiomed.2006.10.008] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2006] [Revised: 10/19/2006] [Accepted: 10/23/2006] [Indexed: 11/24/2022]
Abstract
An efficient computational method for near real-time simulation of thermal ablation of tumors via radio frequencies is proposed. Model simulations of the temperature field in a 3D portion of tissue containing the tumoral mass for different patterns of source heating can be used to design the ablation procedure. The availability of a very efficient computational scheme makes it possible to update the predicted outcome of the procedure in real time. In the algorithms proposed here a discretization in space of the governing equations is followed by an adaptive time integration based on implicit multistep formulas. A modification of the ode15s MATLAB function which uses Krylov space iterative methods for the solution of the linear systems arising at each integration step makes it possible to perform the simulations on standard desktop for much finer grids than using the built-in ode15s. The proposed algorithm can be applied to a wide class of nonlinear parabolic differential equations.
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Affiliation(s)
- DANIELE BERTACCINI
- Universitá di Roma “La Sapienza”, Dipartimento di Matematica, P.le A. Moro 2, 00185 Roma – Italy; e-mail: , web: http://www.mat.uniroma1.it/~bertaccini
| | - DANIELA CALVETTI
- Case University, Department of Mathematics 10900 Euclid Avenue, Cleveland, OH 44106; e-mail: , web: http://lanczos.cwru.edu/~dxc57
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