Faculty Bibliography

INTRODUCTION: Cluster headache is a headache syndrome characterized by periodic episodes of intense headache with spontaneous remission. There are recent reports utilizing occipital nerve stimulation for the successful management of medically refractory cases of cluster headache. METHODS: The case of an 18-year-old boy with chronic, refractory, recurrent cluster headaches is presented. He was treated surgically with combined occipital, supraorbital, and infraorbital nerve stimulation. RESULTS: Prior to operation, the patient suffered three to four episodes of cluster headache per day, for four years. After implantation of occipital, supraorbital, and infraorbital nerve stimulators, the patient averages at most three to four headaches per month, at 36-month follow-up. CONCLUSION: Peripheral neurostimulation is safe and efficacious in the management of chronic, medically refractory cluster headache syndrome. The efficacy of treatment was found to be persistent after three years.

The majority of patients with multiple sclerosis (MS) have symptoms of spasticity that increasingly impair function as the disease progresses. With appropriate treatment, however, quality of life can be improved. Oral antispasticity medications are useful in managing mild spasticity but are frequently ineffective in controlling moderate to severe spasticity, because patients often cannot tolerate the adverse effects of increasing doses. Intrathecal baclofen (ITB) therapy can be an effective alternative to oral medications in patients who have a suboptimal response to oral medications or who cannot tolerate dose escalation or multidrug oral regimens. ITB therapy may be underutilized in the MS population because clinicians (a) are more focused on disease-modifying therapies rather than symptom control, (b) underestimate the impact of spasticity on quality of life, and (c) have concerns about the cost and safety of ITB therapy. Delivery of ITB therapy requires expertly trained staff and proper facilities for pump management. This article summarizes the findings and recommendations of an expert panel on the use of ITB therapy in the MS population and the role of the physician and comprehensive care team in patient selection, screening, and management.

BACKGROUND: Idiopathic Parkinson's disease can present with symptoms similar to those of multiple system atrophy or progressive supranuclear palsy. We aimed to assess whether metabolic brain imaging combined with spatial covariance analysis could accurately discriminate patients with parkinsonism who had different underlying disorders. METHODS: Between January, 1998, and December, 2006, patients from the New York area who had parkinsonian features but uncertain clinical diagnosis had fluorine-18-labelled-fluorodeoxyglucose-PET at The Feinstein Institute for Medical Research. We developed an automated image-based classification procedure to differentiate individual patients with idiopathic Parkinson's disease, multiple system atrophy, and progressive supranuclear palsy. For each patient, the likelihood of having each of the three diseases was calculated by use of multiple disease-related patterns with logistic regression and leave-one-out cross-validation. Each patient was classified according to criteria defined by receiver-operating-characteristic analysis. After imaging, patients were assessed by blinded movement disorders specialists for a mean of 2.6 years before a final clinical diagnosis was made. The accuracy of the initial image-based classification was assessed by comparison with the final clinical diagnosis. FINDINGS: 167 patients were assessed. Image-based classification for idiopathic Parkinson's disease had 84% sensitivity, 97% specificity, 98% positive predictive value (PPV), and 82% negative predictive value (NPV). Imaging classifications were also accurate for multiple system atrophy (85% sensitivity, 96% specificity, 97% PPV, and 83% NPV) and progressive supranuclear palsy (88% sensitivity, 94% specificity, 91% PPV, and 92% NPV). INTERPRETATION: Automated image-based classification has high specificity in distinguishing between parkinsonian disorders and could help in selecting treatment for early-stage patients and identifying participants for clinical trials. FUNDING: National Institutes of Health and General Clinical Research Center at The Feinstein Institute for Medical Research