A novel region-based level set method initialized with mean shift clustering for automated medical image segmentation

Appropriate initialization and stable evolution are desirable criteria to satisfy in level set methods. In this study, a novel region-based level set method utilizing both global and local image information complementarily is proposed. The global image information is extracted from mean shift clustering without any prior knowledge. Appropriate initial contours are obtained by regulating the clustering results. The local image information, as extracted by a data fitting energy, is employed to maintain a stable evolution of the zero level set curves. The advantages of the proposed method are as follows. First, the controlling parameters of the evolution can be easily estimated by the clustering results. Second, the automaticity of the model increases because of a reduction in computational cost and manual intervention. Experimental results confirm the efficiency and accuracy of the proposed method for medical image segmentation.     

Thalamic deep brain stimulation for Tourette Syndrome: A naturalistic trial with brief randomized,double-blinded sham-controlled periods

BackgroundThere is still a lack of controlled studies to prove efficacy of thalamic deep brain stimulation for Tourette's Syndrome.ObjectivesIn this controlled trial, we investigated the course of tic severity, comorbidities and quality of life during thalamic stimulation and whether changes in tic severity can be assigned to ongoing compared to sham stimulation.MethodsWe included eight adult patients with medically refractory Tourette's syndrome. Bilateral electrodes were implanted in the centromedian-parafascicular-complex and the nucleus ventro-oralis internus. Tic severity, quality of life and comorbidities were assessed before surgery as well as six and twelve months after. Short randomized, double-blinded sham-controlled crossover sequences with either active or sham stimulation were implemented at both six- and twelve-months’ assessments. The primary outcome measurement was the difference in the Yale Global Tic Severity Scale tic score between active and sham stimulation. Adverse events were systematically surveyed for all patients to evaluate safety.ResultsActive stimulation resulted in significantly higher tic reductions than sham stimulation (F = 79.5; p = 0.001). Overall quality of life and comorbidities improved significantly in the open-label-phase. Over the course of the trial two severe adverse events occurred that were resolved without sequelae.ConclusionOur results provide evidence that thalamic stimulation is effective in improving tic severity and overall quality of life. Crucially, the reduction of tic severity was primarily driven by active stimulation. Further research may focus on improving stimulation protocols and refining patient selection to improve efficacy and safety of deep brain stimulation for Tourette's Syndrome.     

Radiotherapy for breast cancer: The predictable consequences of an unmet need

Radiotherapy has had a transformative impact on the treatment of breast cancer, but is unavailable to the majority of breast cancer patients in low- and middle-income countries. In these settings, where many women present with advanced disease at an age when they are often the primary caregiver for their families, the lack of access to radiotherapy is particularly devastating. Until recently, this disparity has been largely neglected in the medical literature and it had been difficult to convince governments, industry, and policymakers of the importance of investing in radiotherapy, as well as broader cancer control strategies, in low-resource settings. The Lancet Radiotherapy Commission report published in 2015 challenged many assumptions about the affordability of radiotherapy treatment. Data from the Commission is presented here to support radiotherapy investment for breast cancer and discuss how the morbidity and premature mortality among adult women caused by breast cancer has a huge detrimental effect on both the health sector and the economy.