Quality of life, HPV-status and phase angle predict survival in head and neck cancer patients under (chemo)radiotherapy undergoing nutritional intervention: Results from the prospective randomized HEADNUT-trial.

Purpose: To analyze the impact of quality of life (QoL), nutritional and clinical indicators on overall survival in patients with head and neck squamous cell cancer (HNSCC) undergoing (chemo)radiotherapy.

Materials And Methods: At the beginning, at the end of (chemo)radiotherapy and during follow-up, QoL was prospectively assessed using the EORTC-QLQ-C30 and -QLQ-H&N35 questionnaires. Data were analyzed in 58 out of 220 screened patients, who were randomized into a control and intervention group.

Optimizing the Analytical Value of Oncology-Related Data Based on an In-Memory Analysis Layer: Development and Assessment of the Munich Online Comprehensive Cancer Analysis Platform.

Background: Many comprehensive cancer centers incorporate tumor documentation software supplying structured information from the associated centers' oncology patients for internal and external audit purposes. However, much of the documentation data included in these systems often remain unused and unknown by most of the clinicians at the sites.

Objective: To improve access to such data for analytical purposes, a prerollout of an analysis layer based on the business intelligence software QlikView was implemented.

Dynamic Survival Analysis Using In-Memory Technology.

In the field of oncology, survival analysis is one of the most important tools in terms of measuring therapy success, evaluating risk or prognostic factors. Within this work, a variety of common survival analyses were embedded into a real-time analysis platform based on a comprehensive oncological dataset. The analysis platform utilizes an in-memory database, therefore allowing spontaneous adjustments of the survival curves to selections and stratifications.