Adhésion thérapeutique aux traitements oncologiques oraux et prise en charge interdisciplinaire [Therapeutic adherence to oral cancer therapy and interdisciplinary management].

Medication adherence is a well-known risk factor in internal medicine. However in oncology this dimension is emerging due to the increasing number of oral formulations. First results in the oral oncology literature suggest that patients' ability to cope with medical prescription decreases with time. This might preclude patients from reaching clinical outcomes. Factors impacting on medication adherence to oral oncology treatments have not been yet extensively described neither strategies to address them and support patient's needs. Oncologists and pharmacists in our University outpatient settings performed a pilot study which aimed at measuring and facilitating adherence to oral oncology treatments and at understanding determinants of patient's adherence. The ultimate purpose of such a patient-centered and interdisciplinary collaboration would be to promote patient self-management and complement the standard medical follow-up.

Fast Geodesic Active Fields for Image Registration Based on Splitting and Augmented Lagrangian Approaches.

In this paper, we present an efficient numerical scheme for the recently introduced geodesic active fields (GAF) framework for geometric image registration. This framework considers the registration task as a weighted minimal surface problem. Hence, the data-term and the regularization-term are combined through multiplication in a single, parametrization invariant and geometric cost functional. The multiplicative coupling provides an intrinsic, spatially varying and data-dependent tuning of the regularization strength, and the parametrization invariance allows working with images of nonflat geometry, generally defined on any smoothly parametrizable manifold. The resulting energy-minimizing flow, however, has poor numerical properties. Here, we provide an efficient numerical scheme that uses a splitting approach; data and regularity terms are optimized over two distinct deformation fields that are constrained to be equal via an augmented Lagrangian approach. Our approach is more flexible than standard Gaussian regularization, since one can interpolate freely between isotropic Gaussian and anisotropic TV-like smoothing. In this paper, we compare the geodesic active fields method with the popular Demons method and three more recent state-of-the-art algorithms: NL-optical flow, MRF image registration, and landmark-enhanced large displacement optical flow. Thus, we can show the advantages of the proposed FastGAF method. It compares favorably against Demons, both in terms of registration speed and quality. Over the range of example applications, it also consistently produces results not far from more dedicated state-of-the-art methods, illustrating the flexibility of the proposed framework.

Gestion et communication de l'information en surveillance biologique. Une approche éthique et interdisciplinaire [Biomonitoring information management and communication: an ethical and interdisciplinary perspective]

This study explores biomonitoring communication with workers exposed to risks. Using a qualitative approach, semi-directive interviews were performed. Results show that occupational physicians and workers share some perceptions, but also point out communication gaps. Consequently, informed consent is not guaranteed. This article proposes some recommendations for occupational physicians' practices.