Automatic assessment of time-resolved OCT images for selective retina therapy

Purpose In recent years, selective retina laser treatment (SRT), a sub-threshold therapy method, avoids widespread damage to all retinal layers by targeting only a few. While these methods facilitate faster healing, their lack of visual feedback during treatment represents a considerable shortcoming as induced lesions remain invisible with conventional imaging and make clinical use challenging. To overcome this, we present a new strategy to provide location-specific and contact-free automatic feedback of SRT laser applications. Methods We leverage time-resolved optical coherence tomography (OCT) to provide informative feedback to clinicians on outcomes of location-specific treatment. By coupling an OCT system to SRT treatment laser, we visualize structural changes in the retinal layers as they occur via time-resolved depth images. We then propose a novel strategy for automatic assessment of such time-resolved OCT images. To achieve this, we introduce novel image features for this task that when combined with standard machine learning classifiers yield excellent treatment outcome classification capabilities. Results Our approach was evaluated on both ex vivo porcine eyes and human patients in a clinical setting, yielding performances above 95 % accuracy for predicting patient treatment outcomes. In addition, we show that accurate outcomes for human patients can be estimated even when our method is trained using only ex vivo porcine data. Conclusion The proposed technique presents a much needed strategy toward noninvasive, safe, reliable, and repeatable SRT applications. These results are encouraging for the broader use of new treatment options for neovascularization-based retinal pathologies.

Improving the Assessment of Communication Skills at the Swiss Federal Licensing Exam: Results of a Student's Needs Assessment

Introduction With a three year project the assessment of communication skills within the Swiss Federal Licensing Examinations (FLE) shall be improved. As a first step a needs assessment among communication experts and medical students of the Swiss Medical Faculties will be performed. In this presentation the results of the students’ needs assessment will be presented. Methods A bilingual student’s online questionnaire will be developed by an expert panel taking relevant literature, the Swiss Catalogue of Learning Objectives and other consensus statements for communication (e.g., the European and Basler consensus statements) into account. With a think aloud study response process validity evidence will be sought. The questionnaire will focus on the following topics related to communication skills: (1) What has been taught?, (2) What has been assessed in the faculty exams?, (3) What has been assessed in the FLE?, (4) What should have been assessed in the FLE and how should the assessment be improved? Results Results of the students’ needs assessment will be available by the end of 2015 and be presented. Conclusions/ Take-home message We hope for valuable input for improving the assessment of communications skills within the FLE also from the students’ side. Results of the needs assessment from the students and experts will be combined and taken as input for an international expert symposium on how to improve the communication skills assessment within the FLE.