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Chronic pain is correlated with alterations in brain structure and function. The selection process for the ideal candidate for spinal cord stimulation (SCS) therapy is based on functional variables analysis and pain evaluation scores. In addition to the difficulties involved in the initial selection of patients and the predictive analysis of the trial phase, the large rate of explants is one of the most important concerns in the analysis of the suitability of implanted candidates.To investigate the usefulness of imaging biomarkers, functional connectivity (FC) and volumetry of the whole brain in patients with Failed back surgery syndrome (FBSS) and to create a clinical patient-based decision support system (CDSS) combining neuroimaging and clinical data for predicting the effectiveness of neurostimulation therapy after a trial phase.A prospective, consecutive, observational, single center study.The Multidisciplinary Pain Management Department of the General University Hospital in Valencia, Spain.A prospective, consecutive, and observational single-center study. Using Resting-state functional magnetic resonance imaging (rs-fMRI) and Region of interest (ROI) to ROI analysis, we compared the functional connectivity between regions to detect differences in FC and volume changes. Basal magnetic resonance images were obtained in a 1.5T system and clinical variables were collected twice, at the basal condition and at 6-months post-SCS implant. We also conducted a seed-to-voxel analysis with 9 items as seed-areas characterizing the functional connectivity networks. A decreased in 10 units in the Pain Detect Questionnaire (PD-Q) score was established to define the subgroup of Responders Group (R-G) to neurostimulation therapy. The clinical variables collected and the imaging biomarkers obtained (FC and volumes) were tested on a set of 6 machine learning approaches in an effort to find the best classifier system for predicting the effectiveness of the neurostimulator.Twenty-four patients were analyzed and only seven were classified in the R-G. Volumetric differences were found in the left putamen, F = 34.06, P = 0.02. Four pairwise brain areas showed statistical differences in the rs-fMRI including the right insular cortex. Linear Discriminant Analysis showed the best performance for building the CDSS combining clinical variables and significant imaging biomarkers, the prediction increased diagnostic accuracy in the R-G patients from 29% in current practice to 96% of long-term success.These findings confirm a major role of the left putamen and the four pairs of brain regions in FBBS patients and suggest that a CDSS would be able to select patients susceptible to benefitting from SCS therapy adding imaging biomarkers.

Targeted intrathecal (IT) drug delivery systems (IDDS) are well established as an effective treatment of patients with chronic nonmalignant or malignant pain, and as a tool for management of patients with severe spasticity. The risk to benefit ratio of IDD makes it a relatively safe therapy for both cancer- and noncancer-related pain, but it is not free of risks, so it should be managed at specific centers. Recent technological advances, new therapeutic applications, reported complications, and the costs as well as maintenance required for this therapy require the need to stay up to date about new recommendations that may improve outcomes. This chapter reviews all technological issues regarding IDDS implantation with follow-up and pharmacological recommendations published during recent years that provide evidence-based decision-making process in the management of chronic pain and spasticity in patients.

Ketamine has been shown to be effective in the treatment of neuropathic pain. We present a case of severe complex regional pain syndrome type 1 that was treated with oral ketamine. The response and tolerability of this preparation suggest that further study is warranted.

Targeted intrathecal (IT) drug delivery systems (IDDS) are an option in algorithms for the treatment of patients with moderate to severe chronic refractory pain when more conservative options fail. This therapy is well established and supported by several publications. It has shown efficacy and is an important tool for the treatment of spasticity, and both cancer and nonmalignant pain. Recent technological advances, new therapeutic applications, reported complications, and the costs as well as maintenance required for this therapy require the need to stay up-to-date about new recommendations that may improve outcomes. This chapter reviews all technological issues regarding IDDS implantation with follow-up, and pharmacological recommendations published during recent years that provide evidence-based decision making process in the management of chronic pain and spasticity in patients.