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Sport-related brain injury is very common, and the potential long-term effects include a wide range of neurological and psychiatric symptoms, and potentially neurodegeneration. Around the globe, researchers are conducting neuroimaging studies on primarily homogenous samples of athletes. However, neuroimaging studies are expensive and time consuming, and thus current findings from studies of sport-related brain injury are often limited by small sample sizes. Further, current studies apply a variety of neuroimaging techniques and analysis tools which limit comparability among studies. The ENIGMA Sports Injury working group aims to provide a platform for data sharing and collaborative data analysis thereby leveraging existing data and expertise. By harmonizing data from a large number of studies from around the globe, we will work towards reproducibility of previously published findings and towards addressing important research questions with regard to diagnosis, prognosis, and efficacy of treatment for sport-related brain injury. Moreover, the ENIGMA Sports Injury working group is committed to providing recommendations for future prospective data acquisition to enhance data quality and scientific rigor.

Sarcopenia, a syndrome characterized by the loss of skeletal muscle mass, has attracted attention in the field of oncology, as it reflects poor nutritional status. The present study aimed to determine the risk factors for postoperative inguinal hernia (PIH) development after robot-assisted laparoscopic radical prostatectomy (RARP) for prostate cancer, and discuss whether sarcopenia could be used as a sensitive predictor of PIH.

We reviewed the medical records of 147 patients who underwent RARP at our institution. The psoas muscle volume (PMV), as an indicator of sarcopenia, was quantified from computed tomography images using a 3-dimensional image analysis system. Multivariate cox regression analyses were performed to identify independent predictors of PIH, including pre- and peri-operative factors.

The mean PMV was 393 cm

, and the correlation coefficient between PMV and body mass index was 0.37 (p < 0.01). The PIH-free rate at 2years postoperatively was 78.2% among all patients. The multivariate athen  350 cm3.

Artificial intelligence (AI) and computer vision (CV) have revolutionized image analysis. In surgery, CV applications have focused on surgical phase identification in laparoscopic videos. We proposed to apply CV techniques to identify phases in an endoscopic procedure, peroral endoscopic myotomy (POEM).

POEM videos were collected from Massachusetts General and Showa University Koto Toyosu Hospitals. Videos were labeled by surgeons with the following ground truth phases (1) Submucosal injection, (2) Mucosotomy, (3) Submucosal tunnel, (4) Myotomy, and (5) Mucosotomy closure. The deep-learning CV model-Convolutional Neural Network (CNN) plus Long Short-Term Memory (LSTM)-was trained on 30 videos to create POEMNet. We then used POEMNet to identify operative phases in the remaining 20 videos. The model's performance was compared to surgeon annotated ground truth.

POEMNet's overall phase identification accuracy was 87.6% (95% CI 87.4-87.9%). When evaluated on a per-phase basis, the model performed well, with mean unweighted and prevalence-weighted F1 scores of 0.766 and 0.875, respectively. The model performed best with longer phases, with 70.6% accuracy for phases that had a duration under 5 min and 88.3% accuracy for longer phases.

A deep-learning-based approach to CV, previously successful in laparoscopic video phase identification, translates well to endoscopic procedures. With continued refinements, AI could contribute to intra-operative decision-support systems and post-operative risk prediction.

A deep-learning-based approach to CV, previously successful in laparoscopic video phase identification, translates well to endoscopic procedures. selleckchem With continued refinements, AI could contribute to intra-operative decision-support systems and post-operative risk prediction.

Competency in endoscopy has traditionally been based on number of procedures performed. With movement towards milestone-based accreditation, new standards of establishing competency are required. The Thompson Endoscopic Skills Trainer (TEST) is a training device previously shown to differentiate between novice and expert endoscopists. This study aims to correlate TEST scores to other markers of performance in endoscopy.

Trainees of a gastroenterology fellowship program were guided through the TEST. Their scores and sub-scores were correlated to their endoscopic metrics of performance, including adenoma detection rate, cecal intubation rate, cecal intubation time, withdrawal time, fentanyl usage, midazolam usage, pain score, overall procedure time, and performance on the ASGE Assessment of Competency in Endoscopy Tool (ACE Tool).

The Overall Score positively correlated with the ACE Tool Total Score (r = 0.707, p = 0.010) and sub-scores (Cognitive Skills Score r = 0.624, p = 0.030; Motor Skills Score r = r demonstrating competency in endoscopy.

Inpatient hospital units vary in staffing ratios, monitoring, procedural abilities, and experience with unique patients and diagnoses. The purpose of this study is to assess the impact of patient cohorting upon ventral hernia repair outcomes.

An IRB-approved retrospective review of open ventral hernia repairs between August 2013 and July 2017 was performed. The information of all patient locations during hospitalization, time at location, post-anesthesia care unit duration (PACU), and intensive care unit (ICU) duration was collected. Patient demographics, comorbidities, operative details, cost, and patient outcomes were analyzed. Multivariable analysis of log length of stay (LOS) was assessed with adjustment for clinical and operative factors.

235 patients underwent open ventral hernia repair. 179 patients were admitted to surgical units, 33 non-surgical units, and 23 stayed on both units. Clinical characteristics including patient age, gender, BMI, and medical comorbidities were similar between patients boarded on surgical versus non-surgical units.