Reporting radiographer academy training model; an evaluation of the impact for trainees and clinical service

IntroductionDemand on imaging services continues to increase on a background of complex issues and barriers to care. Collaborative cross organisational working through the development of imaging networks is recommended to address these issues including managing reporting workloads. Standardisation of reporting practices and collaborative cross region reporting radiographer training has been recommended to be supported by a regional reporting radiographer academy model to achieve these aims. This research explores the perceptions of trainees and their managers/mentor who undertook radiographer academy training model with a view to integrated imaging network formalisation in the region.MethodsAn online questionnaire was designed to capture qualitative and quantitative data with three phases; 1) trainees perception of the academy model, 2) trainees perception of the differences in training models and 3) the perceptions of the managers/mentors related to the academy model.ResultsThere were overwhelmingly positive opinions of the academy training model from both cohorts in this study, with the two main benefits emerging being the protected study time away from clinical departments and minimal disruption to clinical services due to reduced onus on the local mentors. Peer support was also highlighted as a positive aspect of the model which would facilitate future integrated imaging network working.ConclusionThe academy model has been well received by both cohorts in this study with positive outcomes highlighted and the model being seen as promoting and facilitating integrated imaging network working between departments. The small sample size of the study requires consideration when extrapolating the results to wider academy models, however some themes may be applicable.Implications for practiceInvestment in the reporting radiographer academy model is justified and provides a practical alternative to the traditional model.     

PREDICT-GTN 1: Can we improve the FIGO scoring system in gestational trophoblastic neoplasia?

Gestational trophoblastic neoplasia (GTN) patients are treated according to the eight-variable International Federation of Gynaecology and Obstetrics (FIGO) scoring system, that aims to predict first-line single-agent chemotherapy resistance. FIGO is imperfect with one-third of low-risk patients developing disease resistance to first-line single-agent chemotherapy. We aimed to generate simplified models that improve upon FIGO. Logistic regression (LR) and multilayer perceptron (MLP) modelling (n = 4191) generated six models (M1-6). M1, all eight FIGO variables (scored data); M2, all eight FIGO variables (scored and raw data); M3, nonimaging variables (scored data); M4, nonimaging variables (scored and raw data); M5, imaging variables (scored data); and M6, pretreatment hCG (raw data) + imaging variables (scored data). Performance was compared to FIGO using true and false positive rates, positive and negative predictive values, diagnostic odds ratio, receiver operating characteristic (ROC) curves, Bland-Altman calibration plots, decision curve analysis and contingency tables. M1-6 were calibrated and outperformed FIGO on true positive rate and positive predictive value. Using LR and MLP, M1, M2 and M4 generated small improvements to the ROC curve and decision curve analysis. M3, M5 and M6 matched FIGO or performed less well. Compared to FIGO, most (excluding LR M4 and MLP M5) had significant discordance in patient classification (McNemar's test P < .05); 55-112 undertreated, 46-206 overtreated. Statistical modelling yielded only small gains over FIGO performance, arising through recategorisation of treatment-resistant patients, with a significant proportion of under/overtreatment as the available data have been used a priori to allocate primary chemotherapy. Streamlining FIGO should now be the focus.     

数字化技术在可摘局部义齿和全口义齿制作中的应用现状与未来

数字化技术的发展为可摘局部义齿/全口义齿的设计和制作提供了全新的选择,具有高精度、高质量和高效率的特点。其中,本文就数字化印模、数字化设计与数字化制作这三个关键因素进行了重点讨论。     

纽约大学图书馆可重复性研究支持服务的分析及启示

通过网络调查和内容分析，从服务对象、服务内容、人员配置和服务设施等方面对纽约大学图书馆可重复性研究支持服务进行调研分析，并在此基础上总结其服务特点，提出研究型图书馆应积极应对研究领域的“可重复性危机”，倡导开放科学和可重复性研究，加强基础设施建设和开发应用软件，开展嵌入科研过程的可重复性研究培训和咨询，以期为提升研究的可重复性做出贡献。