Publications by authors named "Meena S Khan"
Article Synopsis
- Radiation treatment planning is complicated and can vary significantly between different planners, but knowledge-based planning (KBP) aims to streamline the process and produce high-quality plans regardless of the planner's skills.
- The study involved creating and validating 10 automated KBP models for various treatment sites, which incorporated advanced planning scripts and optimization techniques to operate without human input.
- The results showed that 88% of the automated plans were deemed "acceptable as is" by physicians, indicating that this approach could significantly improve the efficiency and consistency of radiation treatment planning.
Sleep loss has negative impacts on quality of life, mood, cognitive function and heath. Insomnia or difficulty sleeping is also a prevalent issue, affecting up to 35% of the population at some point in their lives. Insomnia is linked to poor mood, increased use of health care resources, and decreased quality of life as well as possible links to cardiovascular risk factors and disease.
View Article and Find Full Text PDFPurpose: To evaluate relationships between hypoglossal nerve stimulator (HNS) adherence and the presence of anxiety, depression, and emotional distress.
Methods: This is a cross-sectional study of subjects with moderate to severe obstructive sleep apnea (OSA), who had HNS implanted and activated at The Ohio State University Medical Center (OSUMC). Patient usage data from the previous 6 months was obtained from 33 patients.
Sleep loss has negative impacts on quality of life, mood, cognitive function, and heath. Insomnia is linked to poor mood, increased use of health care resources, decreased quality of life, and possibly cardiovascular risk factors and disease. Studies have shown increase in cortisol levels, decreased immunity, and increased markers of sympathetic activity in sleep-deprived healthy subjects and those with chronic insomnia.
View Article and Find Full Text PDFRationale: More than a million polysomnograms (PSGs) are performed annually in the United States to diagnose obstructive sleep apnea (OSA). Third-party payers now advocate a home sleep test (HST), rather than an in-laboratory PSG, as the diagnostic study for OSA regardless of clinical probability, but the economic benefit of this approach is not known.
Objectives: We determined the diagnostic performance of OSA prediction tools including the newly developed OSUNet, based on an artificial neural network, and performed a cost-minimization analysis when the prediction tools are used to identify patients who should undergo HST.