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Introduction: Multiparametric MRI (mpMRI) and MRI targeted biopsies (MRtb) are a new standard in prostate cancer (PCa) screening and diagnosis. Guidelines already include this approach for patients at risk. We aimed to gather information from German urologists about their knowledge, routine use, and attitude toward mpMRI and consecutive biopsy methods. Materials and Methods: An anonymous online questionnaire was sent via Survey Monkey to the members of the German Society of Urology (DGU). Statistical analyses were performed using SPSS version 25.0. Results: 496 members with a median age of 48.6 years (±11.7) participated in the survey. The majority rated mpMRI of the prostate as a very useful diagnostic tool (72.7%). MRtb of the prostate was considered as very advantageous (71.5%). MpMRI was used by 95.9%, and 83.2% also recommended MRtb predominantly in clinical institutions. For targeted biopsy, MRI-ultrasound fusion biopsy was clearly favored (75.8%). MpMRI was mostly used in patients with previously negative biopsy (90.9%) and in patients under active surveillance (60.9%). Arguments against the use of prostate mpMRI are costs (84.9%) and/or lack of sufficient radiological infrastructure (17.4%). Conclusion: Our data illustrate the meanwhile high acceptance and clinical use of the prostate mpMRI and MRtb in Germany.
National oral health survey on refugees in Germany 2016/2017: caries and subsequent complications
(2020)
Objectives To assess oral health, caries prevalence, and subsequent complications among recently arrived refugees in Germany and to ompare these findings with the German resident population. Methods This multicenter cross-sectional study recruited 544 refugees aged 3–75+ years; they were examined at ten registration institutions in four federal states in Germany by two calibrated dentists. The refugees were screened for caries (dmft/DMFT) and its complications pufa/PUFA); this data was compared to the resident population via the presentative national oral health surveys). Results The deciduous dentition of the 3-year-old refugees had a mean dmft value of 2.62 ± 3.6 compared with 0.48 dmft in the German resident population, and caries increased to 5.22 ± 3.4 for 6–7-year-olds (Germany: 1.73 dmft). Few refugee children had naturally healthy teeth (7% in 6–7-year-olds, Germany: 56%). In the permanent dentition, the gap in caries prevalence between refugees and the German population decreased with age (35–44-year-olds: 10.55 ± 7.1 DMFT; Germany: 11.2), but refugees exhibited more caries defects (35–44-year-olds DT = 3.13 ± 3.0; Germany: 0.5). German residents had more restorations (35–44-year-olds FT = 4.21 ± 4.6). Regarding complications, the 6–7-year-olds exhibited the highest pufa index (0.86 ± 1.4) which decreased in adolescence (13–17-year-olds, 0.18 ± 0.6) and increased in adults (45–64-year-olds, 0.45 ± 0.8). Conclusion The refugees had high caries experience, often untreated caries teeth and more complications compared with the German resident population, especially in children. Closing this gap by extending preventive systems to the refugees would decrease future treatment needs. Clinical relevance European countries should be prepared for the higher dental treatment needs in recent refugees, especially in
children.
Trade of cattle between farms forms a complex trade network. We investigate partitions of this network for cattle trade in Germany. These partitions are groups of farms with similar properties and they are inferred directly from the trade pattern between farms. We make use of a rather new method known as stochastic block modeling (SBM) in order to divide the network into smaller units. SBM turns out to outperform the more established community detection method in the context of disease control in terms of trade restriction. Moreover, SBM is also superior to geographical based trade restrictions and could be a promising approach for disease control.
Trade of cattle between farms forms a complex trade network. We investigate partitions of this network for cattle trade in Germany. These partitions are groups of farms with similar properties and they are inferred directly from the trade pattern between farms. We make use of a rather new method known as stochastic block modeling (SBM) in order to divide the network into smaller units. SBM turns out to outperform the more established community detection method in the context of disease control in terms of trade restriction. Moreover, SBM is also superior to geographical based trade restrictions and could be a promising approach for disease control.