DeSmoke-LAP: improved unpaired image-to-image translation for desmoking in laparoscopic surgery.

PURPOSE: Robotic-assisted laparoscopic surgery has become the trend in medicine thanks to its convenience and lower risk of infection against traditional open surgery. However, the visibility during these procedures may severely deteriorate due to electrocauterisation which generates smoke in the operating cavity. This decreased visibility hinders the procedural time and surgical performance. Recent deep learning-based techniques have shown the potential for smoke and glare removal, but few targets laparoscopic videos. METHOD: We propose DeSmoke-LAP, a new method for removing smoke from real robotic laparoscopic hysterectomy videos. The proposed method is based on the unpaired image-to-image cycle-consistent generative adversarial network in which two novel loss functions, namely, inter-channel discrepancies and dark channel prior, are integrated to facilitate smoke removal while maintaining the true semantics and illumination of the scene. RESULTS: DeSmoke-LAP is compared with several state-of-the-art desmoking methods qualitatively and quantitatively using referenceless image quality metrics on 10 laparoscopic hysterectomy videos through 5-fold cross-validation. CONCLUSION: DeSmoke-LAP outperformed existing methods and generated smoke-free images without applying ground truths (paired images) and atmospheric scattering model. This shows distinctive achievement in dehazing in surgery, even in scenarios with partial inhomogenenous smoke. Our code and hysterectomy dataset will be made publicly available at https://www.ucl.ac.uk/interventional-surgical-sciences/weiss-open-research/weiss-open-data-server/desmoke-lap .

Association Between Alcohol Consumption and Academic Achievement: a Cross-sectional Study.

AIM: Alcohol consumption among adolescents is a serious public health problem in South Korea. Our study examined the relationship between alcohol consumption and academic achievement in Korean adolescents. In 2011, 75,643 students from seventh to twelfth grade participated in the Seventh Korea Youth Risk Behaviour Web-based Survey (KYRBWS-VII). METHOD: We performed multivariate logistic regression analysis to examine the associations between alcohol consumption, frequency of severe alcohol intoxication, and academic achievement for both girls and boys. RESULTS: Compared to non-drinkers, the odds of achieving average or higher academic performance significantly decreased for both boys and girls with increasing number of days per month with reported alcohol consumption (p≤0.008). Further, odds of achieving average or higher academic performance significantly decreased with increasing amounts of alcohol consumed compared to non-drinkers (p≤0.026). Additionally, the odds of achieving average or higher academic performance according to the frequency of severe alcohol intoxication were only significantly decreased for 1-2 days per month of severe intoxication (p<0.001). CONCLUSION: Both boys and girls with increased alcohol consumption and frequency of severe alcohol intoxication had below average academic achievement in Korea. To improve academic achievement, we recommend interventions that reduce alcohol consumption among adolescents.