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Abstract Background Migraine is a primary headache disorder characterized by recurrent attacks that may have a significant impact on patients’ daily life. Treatment options must often be re-evaluated in light of efficacy, tolerability and compliance issues. Few data on commonly applied treatment algorithms and treatment failures have existed in Germany in 2017/2018. The PANORAMA survey was designed to explore and characterize the migraine healthcare landscape and to demonstrate the medical treatment need at that time in Germany. Methods Three different questionnaires were used to assess the profile of the 119 participating centers, characterize migraine patients at centers and evaluate qualitative aspects of the current migraine healthcare situation from a physician´s professional perspective. Data were analyzed as observed and summarized by descriptive statistics. Results The results demonstrate that once referred to a migraine specialist, the majority of patients continue to be treated at a specialist. At specialized centers, 41.6 % of migraine patients receive prophylactic treatment. 45.4 % of prophylactic treatments are initiated with a beta-blocker and 28.1 % with an anti-epileptic. Pivotal factors to initiate prophylactic treatment are migraine attack frequency and intensity (58.0 %). Treatment decisions are largely based on prior / concomitant diseases and physical constitution of the patient (52.1 %). Following an inadequate treatment, most patients either switch substance class or discontinue prophylactic treatment. Conclusions PANORAMA gives a comprehensive overview of the migraine healthcare landscape in Germany in 2017/2018, elucidates a lack of common treatment algorithms and reveals a high demand for defined therapy strategies and new prophylactic treatment going forwards.

Abstract Background Vendor-independent Monte Carlo (MC) dose calculation (IDC) for patient-specific quality assurance of multi-leaf collimator (MLC) based CyberKnife treatments is used to benchmark and validate the commercial MC dose calculation engine for MLC based treatments built into the CyberKnife treatment planning system (Precision MC). Methods The benchmark included dose profiles in water in 15 mm depth and depth dose curves of rectangular MLC shaped fields ranging from 7.6 mm × 7.7 mm to 115.0 mm × 100.1 mm, which were compared between IDC, Precision MC and measurements in terms of dose difference and distance to agreement. Dose distributions of three phantom cases and seven clinical lung cases were calculated using both IDC and Precision MC. The lung PTVs ranged from 14 cm3 to 93 cm3. Quantitative comparison of these dose distributions was performed using dose-volume parameters and 3D gamma analysis with 2% global dose difference and 1 mm distance criteria and a global 10% dose threshold. Time to calculate dose distributions was recorded and efficiency was assessed. Results Absolute dose profiles in 15 mm depth in water showed agreement between Precision MC and IDC within 3.1% or 1 mm. Depth dose curves agreed within 2.3% / 1 mm. For the phantom and clinical lung cases, mean PTV doses differed from − 1.0 to + 2.3% between IDC and Precision MC and gamma passing rates were > =98.1% for all multiple beam treatment plans. For the lung cases, lung V20 agreed within ±1.5%. Calculation times ranged from 2.2 min (for 39 cm3 PTV at 1.0 × 1.0 × 2.5 mm3 native CT resolution) to 8.1 min (93 cm3 at 1.1 × 1.1 × 1.0 mm3), at 2% uncertainty for Precision MC for the 7 examined lung cases and 4–6 h for IDC, which, however, is not optimized for efficiency but used as a gold standard for accuracy. Conclusions Both accuracy and efficiency of Precision MC in the context of MLC based planning for the CyberKnife M6 system were benchmarked against MC based IDC framework. Precision MC is used in clinical practice at our institute.

Abstract Background While the N-terminal pro-brain-type natriuretic peptide (NT-proBNP) at rest is known to be associated with prognosis in pulmonary arterial hypertension (PAH), it is unclear if the NT-proBNP response to exercise (ΔNT-proBNP) can contribute to a better assessment of disease severity. Methods We investigated the association of NT-proBNP values at rest and during peak exercise with hemodynamics and cardiopulmonary exercise testing parameters in 63 therapy-naive PAH patients. Results The median NT-proBNP increases from 1414 at rest to 1500 pg/ml at peak exercise. The ΔNT-proBNP is baseline-dependent in PAH. Both, NT-proBNP at rest and NT-proBNP at peak exercise, are significantly correlated with hemodynamics and functional capacity. However, neither NT-proBNP at peak exercise nor ΔNT-proBNP correlated better with surrogate markers of disease severity than NT-proBNP at rest. Conclusion The ΔNT-proBNP does not contribute to a better assessment of disease severity in PAH.

Abstract Background N-terminal pro-brain-type natriuretic peptide (NT-proBNP) is currently used as a surrogate marker for disease severity in pulmonary hypertension (PH). However, NT-proBNP tends to have a high variability and may insufficiently correlate with hemodynamics and exercise capacity. Methods To investigate the association of NT-proBNP with hemodynamics and cardio-pulmonary exercise testing (CPET) in 84 therapy-naive patients with precapillary PH. Results NT-proBNP levels were significantly correlated with hemodynamics and CPET parameters except for cardiac index, diffusion capacity, PaO2 at peak exercise, and peak minute ventilation. NT-proBNP correlated best with hemodynamics and CPET in women and patients >65 years. NT-proBNP correlated better with CPET in pulmonary arterial hypertension compared to chronic thromboembolic PH (CTEPH). Conclusion NT-proBNP is associated with disease severity in precapillary PH. The association might be age- and gender-dependent. NT-proBNP may insufficiently correlate with disease severity in CTEPH, possibly due to comorbidity.