Stewart McLeod (blousehot0)

Conventional MRI measures of traumatic spinal cord injury severity largely rely on 2-dimensional injury characteristics such as intramedullary lesion length and cord compression. Recent advances in spinal cord (SC) analysis have led to the development of a robust anatomic atlas incorporated into an open-source platform called the Spinal Cord Toolbox (SCT) that allows for quantitative volumetric injury analysis. In the current study, we evaluate the prognostic value of volumetric measures of spinal cord injury on MRI following registration of T2-weighted (T2w) images and segmented lesions from acute SCI patients with a standardized atlas. This IRB-approved prospective cohort study involved the image analysis of 60 blunt cervical SCI patients enrolled in the TRACK-SCI clinical research protocol. Axial T2w MRI data obtained within 24 h of injury were processed using the SCT. Briefly, SC MRIs were automatically segmented using the sct_deepseg_sc tool in the SCT and segmentations were manually corrected by a neuro-radiologist. Lesion volume data were used as predictor variables for correlation with lower extremity motor scores at discharge. Volumetric MRI measures of T2w signal abnormality comprising the SCI lesion accurately predict lower extremity motor scores at time of patient discharge. Similarly, MRI measures of injury volume significantly correlated with motor scores to a greater degree than conventional 2-D metrics of lesion size. The volume of total injury and of injured spinal cord motor regions on T2w MRI is significantly and independently associated with neurologic outcome at discharge after injury.The aim of this review is to determine the efficacy and safety of robotic surgery for intracranial hemorrhage (ICH). PICO question was formulated as whether robot-assisted neurosurgery is more effective and safer than conventional treatment for ICH with respect to drainage time, complications, operation time, extent of evacuation and neurological function improvement. We searched PubMed, Web of Science, Wiley Online, OVID, Embase, Cochrane Library, Clinical Trails, Current Controlled Trials, Chinese Biomedical Literature Database (CBM), Chinese National Knowledge Infrastructure (CNKI), OpenGrey and references of related papers. Key words included robot, robotic, hematoma, hemorrhage and neurosurgery. Then we used Microsoft Excel to collect data. Except from qualitative analysis, we did meta-analysis using Review Manager 5.3. 9 papers were included in qualitative synthesis, 6 in meta-analysis for rebleeding rate and 4 in analysis for operative and drainage time. Qualitative synthesis showed shorter operative time and drainage time, a larger extent of evacuation, better neurological function improvement and less complications in robotic group, while meta-analysis suggested that robot-assisted surgery reduced rebleeding rate compared to other surgical procedures, but whether it is superior to conservative treatment in preventing rebleeding still needs more proof. Meta-analysis for operative and drainage time should be explained cautiously because a significant heterogeneity existed and we supposed that differences in baseline characteristics might influence the results. Finally, we drew a conclusion that robotic neurosurgery is a safe and effective approach which is better than conventional surgery or conservative treatment with respect to rebleeding rate, intracranial infection rate and neurological function improvement.The pathogenesis and molecular pathways involved in non-alcoholic fatty liver disease (NAFLD) are reviewed, as well as what is known about mitochondrial dysfunction that leads to heart disease and the progression to steatohepatitis and hepatic fibrosis. We focused our discussion on the role of the antioxidant gene heme oxygenase-1 (HO-1) and its nuclear coactivator, peroxisome proliferator-activated receptor-gamma coactivator (PGC1-α) in the regulation of mi