Medical image computing and computer-aided medical interventions applied to soft tissues. Work in progress in urology

Until recently, Computer-Aided Medical Interventions (CAMI) and Medical Robotics have focused on rigid and non deformable anatomical structures. Nowadays, special attention is paid to soft tissues, raising complex issues due to their mobility and deformation. Mini-invasive digestive surgery was probably one of the first fields where soft tissues were handled through the development of simulators, tracking of anatomical structures and specific assistance robots. However, other clinical domains, for instance urology, are concerned. Indeed, laparoscopic surgery, new tumour destruction techniques (e.g. HIFU, radiofrequency, or cryoablation), increasingly early detection of cancer, and use of interventional and diagnostic imaging modalities, recently opened new challenges to the urologist and scientists involved in CAMI. This resulted in the last five years in a very significant increase of research and developments of computer-aided urology systems. In this paper, we propose a description of the main problems related to computer-aided diagnostic and therapy of soft tissues and give a survey of the different types of assistance offered to the urologist: robotization, image fusion, surgical navigation. Both research projects and operational industrial systems are discussed

Sexual well-being and diurnal cortisol after prostate cancer treatment.

Sexual dysfunction and psychological distress are common after prostate cancer. Research has not examined the role of neuroendocrine markers of stress (e.g. cortisol). This study examines whether sexual functioning or sexual bother is associated with diurnal cortisol. Men treated for prostate cancer completed the University of California-Los Angeles Prostate Cancer Index and provided saliva samples four times daily for cortisol assessment. Higher sexual bother, but not sexual functioning, was associated with steeper cortisol slope. Better sexual functioning, and not sexual bother, was significantly associated with the cortisol awakening response. Assessment of stress and stress-reducing interventions might be warranted in sexual rehabilitation after prostate cancer

Guided Machine Learning for power grid segmentation

The segmentation of large scale power grids into zones is crucial for control room operators when managing the grid complexity near real time. In this paper we propose a new method in two steps which is able to automatically do this segmentation, while taking into account the real time context, in order to help them handle shifting dynamics. Our method relies on a "guided" machine learning approach. As a first step, we define and compute a task specific "Influence Graph" in a guided manner. We indeed simulate on a grid state chosen interventions, representative of our task of interest (managing active power flows in our case). For visualization and interpretation, we then build a higher representation of the grid relevant to this task by applying the graph community detection algorithm \textit{Infomap} on this Influence Graph. To illustrate our method and demonstrate its practical interest, we apply it on commonly used systems, the IEEE-14 and IEEE-118. We show promising and original interpretable results, especially on the previously well studied RTS-96 system for grid segmentation. We eventually share initial investigation and results on a large-scale system, the French power grid, whose segmentation had a surprising resemblance with RTE's historical partitioning

Urban spaces and the levels of the historic city

Ponencia presentada a Session 8: Dimensiones psicosociales de la arquitectura y el urbanismo / Psycological dimensions of architecture and plannin

Leveraging the Public School System to Combat Adolescent Obesity: The Limits of Arkansas’s Statewide Policy Initiative

Purpose: This study assessed the effectiveness of one of the earliest statewide policy initiatives to address obesity via schools—Arkansas’s Act 1220 of 2003—on adolescent obesity. The Act required public schools in Arkansas to conduct body mass index (BMI) screening and reporting, restrict access to vending machines and establish physical education and nutrition standards.Methods: To determine the effect of Act 1220 as a whole, this study analyzed data representative of adolescents in grades 9-12 from the Youth Risk Behavior Survey (YRBS) using the quasi-experimental method of difference-in-differences. Changes in adolescents’ weight outcomes in Arkansas before (1999 and 2001) and after (2005, 2007 and 2009) the implementation of Act 1220 were compared to changes in weight outcomes for adolescents from the neighboring state of Missouri across the same time period.Results: Arkansas’s Act 1220 did not significantly influence adolescents’ BMI-for-age z-scores (zBMI) (-0.017; 95% confidence interval [CI] [-0.097, 0.063]; p=.68). Further, the Act did not lead to significant reductions in zBMI among adolescents who were either overweight (-0.003; 95% CI [-0.043, 0.036]; p=.86) or obese (-0.010; 95% CI [-0.070, 0.051]; p=.75). Results remain robust to adjustments for self-report bias in height and weight as well as a set of alternative comparison states.Conclusions: Preventing adolescent overweight and obesity is unlikely to occur through such large-scale policy initiatives alone