RESUMO
This ASO perspective reviews the findings of a randomized, phase II clinical trial evaluating adjuvant trastuzumab emtansine (T-DM1) compared with paclitaxel and trastuzumab (TH) in stage I human epidermal growth factor receptor 2-positive breast cancer, as reported recently by the ATEMPT trial investigators. Patients treated with T-DM1 had better disease-free survival but did not have fewer treatment toxicities. The T-DM1-treated group had higher rates of treatment discontinuations, therefore long-term follow-up will be required to evaluate survival differences between T-DM1 and TH.
Assuntos
Neoplasias da Mama , Feminino , Humanos , Adjuvantes Imunológicos/uso terapêutico , Ado-Trastuzumab Emtansina/efeitos adversos , Ado-Trastuzumab Emtansina/uso terapêutico , Protocolos de Quimioterapia Combinada Antineoplásica/efeitos adversos , Protocolos de Quimioterapia Combinada Antineoplásica/uso terapêutico , Neoplasias da Mama/tratamento farmacológico , Paclitaxel , Receptor ErbB-2/metabolismo , Trastuzumab/efeitos adversos , Trastuzumab/uso terapêutico , Resultado do Tratamento , Ensaios Clínicos Fase II como Assunto , Ensaios Clínicos Controlados Aleatórios como AssuntoRESUMO
Brain computer interfaces (BCIs) have been applied to sensorimotor systems for many years. However, BCI technology has broad potential beyond sensorimotor systems. The emerging field of cognitive prosthetics, for example, promises to improve learning and memory for patients with cognitive impairment. Unfortunately, our understanding of the neural mechanisms underlying these cognitive processes remains limited in part due to the extensive individual variability in neural coding and circuit function. As a consequence, the development of methods to ascertain optimal control signals for cognitive decoding and restoration remains an active area of inquiry. To advance the field, robust tools are required to quantify time-varying and task-dependent brain states predictive of cognitive performance. Here, we suggest that network science is a natural language in which to formulate and apply such tools. In support of our argument, we offer a simple demonstration of the feasibility of a network approach to BCI control signals, which we refer to as network BCI (nBCI). Finally, in a single subject example, we show that nBCI can reliably predict online cognitive performance and is superior to certain common spectral approaches currently used in BCIs. Our review of the literature and preliminary findings support the notion that nBCI could provide a powerful approach for future applications in cognitive prosthetics.
RESUMO
Blunt injury of the abdominal aorta is a rare event, seen in only 0.07% to 0.17% of all blunt traumas. These injuries are frequently associated with other intra-abdominal injuries, with high rates of morbidity and mortality. We present a case of isolated blunt abdominal aortic trauma to the infrarenal aorta without concomitant abdominal or spinal injuries. The patient was treated with endovascular aortic stent grafting and is without complications 12 months after the procedure.