Incorporating Human Factors Analysis and Classification System (HFACS) Into Analysis of Reported Near Misses and Incidents in Radiation Oncology.

Purpose: Human factors analysis and classification system (HFACS) is a framework for investigation into causation of human errors. We herein assess whether radiation oncology professionals, with brief training, can conduct HFACS on reported near misses or safety incidents (NMSIs) in a reliable (eg, with a high level of agreement) and practical (eg, timely and with user satisfaction) manner.

Methods And Materials: We adapted a classical HFACS framework by selecting and modifying main headings, subheadings, and nano-codes that were most likely to apply to radiation oncology settings.

Clinical indications for, and the future of, circulating tumor cells.

Circulating tumor cells (CTCs) are cells that have detached from the primary tumor and entered circulation with potential to initiate a site of metastasis. Currently, CTC detection using CellSearch is cleared by the Food and Drug Administration for monitoring metastatic breast, prostate, and colorectal cancers as a prognostic biomarker for progression-free and overall survival. Accumulating evidence suggests CTCs have similar prognostic value in other metastatic and non-metastatic settings.

Differential effects of buffer pH on Ca(2+)-induced ROS emission with inhibited mitochondrial complexes I and III.

Excessive mitochondrial reactive oxygen species (ROS) emission is a critical component in the etiology of ischemic injury. Complex I and complex III of the electron transport chain are considered the primary sources of ROS emission during cardiac ischemia and reperfusion (IR) injury. Several factors modulate ischemic ROS emission, such as an increase in extra-matrix Ca(2+), a decrease in extra-matrix pH, and a change in substrate utilization.

Rhizobial plasmids that cause impaired symbiotic nitrogen fixation and enhanced host invasion.

The genetic rules that dictate legume-rhizobium compatibility have been investigated for decades, but the causes of incompatibility occurring at late stages of the nodulation process are not well understood. An evaluation of naturally diverse legume (genus Medicago) and rhizobium (genus Sinorhizobium) isolates has revealed numerous instances in which Sinorhizobium strains induce and occupy nodules that are only minimally beneficial to certain Medicago hosts. Using these ineffective strain-host pairs, we identified gain-of-compatibility (GOC) rhizobial variants.