Performance assessment in airway management training for nonanesthesiology trainees: an analysis of 4,282 airway procedures performed at a level-1 trauma center.

BACKGROUND: Although the use of an anesthesiology "airway" rotation to train the nonanesthesiologist is commonly employed, little data exist on the utility, clinical exposure, and outcomes of these programs. METHODS: A prospectively collected observational dataset of airway procedures completed by trainees in a 4-week, anesthesiology-based, airway rotation at an academic, level-1 trauma center from July 2010 to September 2012 was reviewed. Prospectively defined data points were collected through an online data tool and included patient demographics, location, date, best laryngoscopic view, and attempt details. At the authors' institution, an attending trauma anesthesiologist is present for all intubation attempts. The primary outcome was first-attempt success. RESULTS: A total of 4,282 self-reported, airway procedures were identified. The median number of procedures performed was 50.4 ± 13.2 (range, 20 to 93; 25th quartile = 41; 75th quartile = 57). Multivariate logistic regression analysis modeling of first-attempt success rate identified two independent predictors of success: rotation week (odds ratio, 1.42; 95% CI, 1.32 to 1.61; P < 0.0001) and number of previous intubation attempts before rotation (odds ratio, 1.23; 95% CI, 1.03 to 1.46; P = 0.02. In addition, the percentage of cases with a self-reported laryngoscopic grade 1 view increased significantly from 61 to 74% (P = 0.015) from week 1 to week 4 of the rotation. CONCLUSIONS: An anesthesiology-based program for airway training of nonanesthesiologists demonstrates improved self-reported, perceived first-attempt success over the course of training with improved ability to visualize glottic structures.

Delineation of Tumor Habitats based on Dynamic Contrast Enhanced MRI.

Tumor heterogeneity can be elucidated by mapping subregions of the lesion with differential imaging characteristics, called habitats. Dynamic Contrast Enhanced (DCE-)MRI can depict the tumor microenvironments by identifying areas with variable perfusion and vascular permeability, since individual tumor habitats vary in the rate and magnitude of the contrast uptake and washout. Of particular interest is identifying areas of hypoxia, characterized by inadequate perfusion and hyper-permeable vasculature. An automatic procedure for delineation of tumor habitats from DCE-MRI was developed as a two-part process involving: (1) statistical testing in order to determine the number of the underlying habitats; and (2) an unsupervised pattern recognition technique to recover the temporal contrast patterns and locations of the associated habitats. The technique is examined on simulated data and DCE-MRI, obtained from prostate and brain pre-clinical cancer models, as well as clinical data from sarcoma and prostate cancer patients. The procedure successfully identified habitats previously associated with well-perfused, hypoxic and/or necrotic tumor compartments. Given the association of tumor hypoxia with more aggressive tumor phenotypes, the obtained in vivo information could impact management of cancer patients considerably.