Objective Hopelessness and depression are strongly associated with suicidality. Given that physical and psychological outcomes can be altered with hope, hope is a therapeutic goal of increasing importance in the treatment of brain tumor patients. Moreover, it is not yet understood which factors affect the perception of hope in brain tumor patients. In addition, it remains uncertain whether lower-grade brain tumor patients suffer less from psycho-oncological distress than higher-grade brain tumor patients. Methods Neuro-oncological patients were examined perioperatively with the Distress Thermometer (DT) and the Herth Hope Index (HHI). In addition, psychological comorbidities (anxiety GAD-2, depression PHQ-2) and an assessment of general psycho-oncological distress were recorded. Results Sixty-six brain tumor patients were included (median age 53 years, 35% higher-grade brain tumors, i.e., WHO grade III/IV). No differences between higher- and lower-grade brain tumor patients were observed for general psycho-oncological distress and hope. However, higher-grade brain tumor patients showed a significantly higher level of depression (p ≤ 0.001) and more negative expectations regarding therapeutic success (H = 4.873, p ≤ 0.050). The extent of depression correlated negatively with hope. Conclusion Unexpectedly, higher-grade brain tumor patients remained as hopeful as lower-grade brain tumor patients despite the devastating diagnosis, higher levels of depression, and a worse expectation of therapeutic success. Conversely, lower-grade brain tumor patients experience as much psycho-oncological distress as patients with a higher-grade brain tumor, underpinning the imperative need for comprehensive psycho-oncological screening. For all brain tumor patients, considering hope is important to avoid suicides resulting from hopelessness and depression.

Parkinson's Disease (PD) is the second most common neurodegenerative disorder worldwide, causing both motor and non-motor symptoms. In the early stages, symptoms are mild and patients may ignore their existence. As a result, they do not undergo any related clinical examination; hence delaying their PD diagnosis. In an effort to remedy such delay, analysis of data passively captured from user's interaction with consumer technologies has been recently explored towards remote screening of early PD motor signs. In the current study, a smartphone-based method analyzing subjects' finger interaction with the smartphone screen is developed for the quantification of fine-motor skills decline in early PD using Convolutional Neural Networks. Experimental results from the analysis of keystroke typing in-the-clinic data from 18 early PD patients and 15 healthy controls have shown a classification performance of 0.89 Area Under the Curve (AUC) with 0.79/0.79 sensitivity/specificity, respectively. Evaluation of the generalization ability of the proposed approach was made by its application on typing data arising from a separate self-reported cohort of 27 PD patients' and 84 healthy controls' daily usage with their personal smartphones (data in-the-wild), achieving 0.79 AUC with 0.74/0.78 sensitivity/specificity, respectively. The results show the potentiality of the proposed approach to process keystroke dynamics arising from users' natural typing activity to detect PD, which contributes to the development of digital tools for remote pathological symptom screening.

9514 Background: There is limited data about the impact of melanoma on the psychological burden of patients. Despite some known predictors for distress like female gender or younger age, melanoma stages have not been found being related to distress in melanoma patients and there is no data concerning distress in melanoma patients under systemic treatment for metastases. Methods: Between July and September 2016, 820 melanoma patients at the outpatient clinic at the Department of Dermatology at the University of Tuebingen underwent psycho-oncological screening. The patients routinely completed the distress thermometer (DT), supplemented by a problem list, before consulting the physician. DT scores ≥ 5 are above-threshold, indicating the need for psycho-oncological support. We matched psycho-oncological data with tumor and patient specific data to examine tumor or patient specific influence on distress using logistic regression. Results: 406 (49.5%) men and 414 (50.5%) women were included, mean age was 62.35 years (IQR 52-75), mean time since primary diagnosis of melanoma was 54.84 months (IQR 15-76). 359 (44%) of the patients suffered from advanced melanoma (stage III n = 182, stage IV n = 177). 120 patients (14.6%) received systemic treatment for metastases: 90/120 (75%) checkpoint inhibitors, 27/120 (22.5%) targeted therapy and 3/120 (2.5%) chemotherapy. 338/820 (41.2%) of the patients met the cut-off score for distress. Significant influencing factors (p < 0.05) for DT values of ≥ 5 were: female gender, younger age, melanoma stage III and IV. Interestingly we found a lower risk for values above-threshold for patients under systemic treatment, although this was not significant (p = 0.252). Conclusions: This is the first analysis to demonstrate the impact of advanced melanoma stages on DT scores above-threshold. Our study is also the first to indicate a lower risk for distress in patients under systemic treatment. This might be due to the closer contact between these patients and their physicians. Nevertheless, more than 40% of our patients needed psycho-oncological support. Departments that care for melanoma patients should therefore be fitted by a sufficient number of psycho-oncologists.

Despite an increasing number of promising treatment options, only a limited number of studies concerning melanoma patients' psycho-oncological distress have been carried out. However, multiple screening tools are in use to assess the need for psychooncological support. This study aimed first to identify parameters in melanoma patients that are associated with a higher risk for being psycho-oncologically distressed and second to compare patients' self-evaluation concerning the need for psycho-oncological support with the results of established screening tools. We performed a cross-sectional study including 254 melanoma patients from the Center for Dermatooncology at the University of Tuebingen. The study was performed between June 2010 and February 2013. Several screening instruments were included: the Distress Thermometer (DT), Hospital Anxiety and Depression Scale and the patients' subjective evaluation concerning psychooncological support. Binary logistic regression was performed to identify factors that indicate the need for psycho-oncological support. Patients' subjective evaluation concerning the need for psycho-oncological support, female gender, and psychotherapeutic or psychiatric treatment at present or in the past had the highest impact on values above threshold in the DT. The odds ratio of patients' self-evaluation (9.89) was even higher than somatic factors like female gender (1.85), duration of illness (0.99), or increasing age (0.97). Patients' self-evaluation concerning the need for psycho-oncological support indicated a moderate correlation with the results of the screening tools included. In addition to the results obtained by screening tools like the DT, we could demonstrate that patients' self-evaluation is an important instrument to identify patients who need psycho-oncological support.