Implementation of a rapid learning platform: predicting 2-year survival in laryngeal carcinoma patients in a clinical setting

Background and Purpose To improve quality and personalization of oncology health care, decision aid tools are needed to advise physicians and patients. The aim of this work is to demonstrate the clinical relevance of a survival prediction model as a first step to multi institutional rapid learning and compare this to a clinical trial dataset. Materials and Methods Data extraction and mining tools were used to collect uncurated input parameters from Illawarra Cancer Care Centre\u27s (clinical cohort) oncology information system. Prognosis categories previously established from the Maastricht Radiation Oncology (training cohort) dataset, were applied to the clinical cohort and the radiotherapy only arm of the RTOG-9111 (trial cohort). Results Data mining identified 125 laryngeal carcinoma patients, ending up with 52 patients in the clinical cohort who were eligible to be evaluated by the model to predict 2-year survival and 177 for the trial cohort. The model was able to classify patients and predict survival in the clinical cohort, but for the trial cohort it failed to do so. Conclusions The technical infrastructure and model is able to support the prognosis prediction of laryngeal carcinoma patients in a clinical cohort. The model does not perform well for the highly selective patient population in the trial cohort

Presence of acyl-homoserine lactones in 57 members of the Vibrionaceae family

Aims: The aim of this study was to use a sensitive method to screen and quantify 57 Vibrionaceae strains for the production of acyl-homoserine lactones (AHLs) and map the resulting AHL profiles onto a host phylogeny. Methods and Results: We used a high-performance liquid chromatography– tandem mass spectrometry (HPLC-MS/MS) protocol to measure AHLs in spent media after bacterial growth. First, the presence/absence of AHLs (qualitative analysis) was measured to choose internal standard for subsequent quantitative AHL measurements. We screened 57 strains from three genera (Aliivibrio, Photobacterium and Vibrio) of the same family (i.e. Vibrionaceae). Our results show that about half of the isolates produced multiple AHLs, typically at 25–5000 nmol l-1 . Conclusions: This work shows that production of AHL quorum sensing signals is found widespread among Vibrionaceae bacteria and that closely related strains typically produce similar AHL profiles. Significance and Impact of the Study: The AHL detection protocol presented in this study can be applied to a broad range of bacterial samples and may contribute to a wider mapping of AHL production in bacteria, for example, in clinically relevant strains

The Effect of Environmental Values on German Primary School Students’ Knowledge on Water Supply

Permanent access to safe drinking water is guaranteed in most industrialized countries, while climate change is turning it into a serious global issue. Knowing how to use the valuable resource water consciously and sustainably requires well-informed and ecologically aware citizens. Environmental education approaches should help develop long-term environmental knowledge, pro-environmental attitudes, and behavior with the overall goal of promoting environmental citizenship. The present study, thus, examines the influence of environmental values on students’ environmental knowledge in a German primary school sample (9–10-year-old students) by providing an authentic, out-of-school learning experience on the topic of fresh water supply. Our approach goes beyond mere correlation analyses by using structural equation modeling (SEM) to measure effects between the two variables. Environmental values were monitored using the Two Major Environmental Values Model (2-MEV) with its two dimensions, Preservation and Utilization of nature. Following a quasi-experimental design, we assessed the learners’ knowledge before (T0), directly after (T1), and six weeks after (T2) module participation. Confirmatory factor analysis verified the two-factor-structure of the 2-MEV. Preservation turned out as a direct positive predictor of pre-knowledge (T0) but did not show any significant effect on post-knowledge (T1) and knowledge retention (T2). Utilization displayed a larger albeit negative direct effect on knowledge across all testing times, especially for pre- and post-knowledge. Our findings shed light on the significant impact of anthropocentric attitudes on knowledge acquisition within primary school samples and provided valuable insights into feasible environmental learning approaches

Towards worldwide use of FDG PET/CT applications for optimal treatment of lung cancer

In low- and middle-income countries, management of patients with locally advanced non-small cell lung cancer (NSCLC) can be improved. Centers that are suitably equipped to provide nuclear medicine and radiation oncology services have minimal experience in the multidisciplinary use of a hybrid imaging technique called PET/CT for concurrent chemoradiotherapy, resulting in many patients receiving suboptimal therapy selection and treatment delivery. The work in this thesis focused on improved patient selection for concurrent chemoradiotherapy, and increased and standardized treatment accuracy using PET/CT applications, with the goal to improve survival in patients with NSCLC. Our work, which was in collaboration with the International Atomic Energy Agency, contributed to broader multidisciplinary use of PET/CT in 9 centers from Brazil, Estonia, India, Jordan, Pakistan, Turkey, and Vietnam. We developed pragmatic standardized guidelines to accurately delineate tumor, practical and online training sessions on PET/CT based concurrent chemoradiotherapy over a year, and provided evidence on the effectiveness of PET/CT based concurrent chemoradiotherapy through a multi-center trial. Currently, the choice of treatment is largely dependent on the disease stage and patient condition, and this is not always accurate enough for optimal treatment selection in locally advanced NSCLC. This thesis also contributed to the debate of improving therapy selection in locally advanced NSCLC patients by studying the prognostic accuracy of quantitative imaging features from PET, called PET radiomics features. Future studies should investigate if the prognostic accuracy of current prognostic models can be further improved by combining imaging features from multiple imaging modalities with clinical and genomic data