79 research outputs found
Fully automated landmarking and facial segmentation on 3D photographs
Three-dimensional facial stereophotogrammetry provides a detailed
representation of craniofacial soft tissue without the use of ionizing
radiation. While manual annotation of landmarks serves as the current gold
standard for cephalometric analysis, it is a time-consuming process and is
prone to human error. The aim in this study was to develop and evaluate an
automated cephalometric annotation method using a deep learning-based approach.
Ten landmarks were manually annotated on 2897 3D facial photographs by a single
observer. The automated landmarking workflow involved two successive
DiffusionNet models and additional algorithms for facial segmentation. The
dataset was randomly divided into a training and test dataset. The training
dataset was used to train the deep learning networks, whereas the test dataset
was used to evaluate the performance of the automated workflow. The precision
of the workflow was evaluated by calculating the Euclidean distances between
the automated and manual landmarks and compared to the intra-observer and
inter-observer variability of manual annotation and the semi-automated
landmarking method. The workflow was successful in 98.6% of all test cases. The
deep learning-based landmarking method achieved precise and consistent landmark
annotation. The mean precision of 1.69 (+/-1.15) mm was comparable to the
inter-observer variability (1.31 +/-0.91 mm) of manual annotation. The
Euclidean distance between the automated and manual landmarks was within 2 mm
in 69%. Automated landmark annotation on 3D photographs was achieved with the
DiffusionNet-based approach. The proposed method allows quantitative analysis
of large datasets and may be used in diagnosis, follow-up, and virtual surgical
planning.Comment: 13 pages, 4 figures, 7 tables, repository
https://github.com/rumc3dlab/3dlandmarkdetection
Diabetes self-management arrangements in Europe: a realist review to facilitate a project implemented in six countries
Background: Self-management of long term conditions can promote quality of life whilst delivering benefits to the financing of health care systems. However, rarely are the meso-level influences, likely to be of direct relevance to these desired outcomes, systematically explored. No specific international guidelines exist suggesting the features of the most appropriate structure and organisation of health care systems within which to situate self-management approaches and practices. This review aimed to identify the quantitative literature with regard to diabetes self-management arrangements currently in place within the health care systems of six countries (The United Kingdom, The Netherlands, Norway, Spain, Bulgaria, and Greece) and explore how these are integrated into the broader health care and welfare systems in each country.
Methods: The methodology for a realist review was followed. Publications of interest dating from 2000 to 2013 were identified through appropriate MeSH terms by a systematic search in six bibliographic databases. A search diary was maintained and the studies were assessed for their quality and risk of bias.
Results: Following the multi-step search strategy, 56 studies were included in the final review (the majority from the UK) reporting design methods and findings on 21 interventions and programmes for diabetes and chronic disease self-management. Most (11/21, 52%) of the interventions were designed to fit within the context of primary care. The majority (11/21, 52%) highlighted behavioural change as an important goal. Finally, some (5/21, 24%) referred explicitly to Internet-based tools.
Conclusions: This review is based on results which are derived from a total of at least 5,500 individuals residing in the six participating countries. It indicates a policy shift towards patient-centred self-management of diabetes in a primary care context. The professional role of diabetes specialist nurses, the need for multidisciplinary approaches and a focus on patient education emerge as fundamental principles in the design of relevant programmes. Socio-economic circumstances are relevant to the capacity to self-manage and suggest that any gains and progress will be hard to maintain during economic austerity. This realist review should be interpreted within the wider context of a whole systems approach regarding self-care support and chronic illness management
Money on my mind
First results suggest that financial worries are not exclusive to lower income households
Money on my mind
First results suggest that financial worries are not exclusive to lower income households
Advanced Diagnostics and Three-dimensional Virtual Surgical Planning in Orbital Reconstruction
Key points: •The first step in advanced diagnostics and virtual surgical planning is the generation of a virtual patient model. •Information can be added to the virtual patient model through image manipulation for advanced diagnostic purposes. •The virtual surgical planning is used preoperatively, but can also be used intraoperatively and postoperatively
Metabolic syndrome in people with schizophrenia: a review
Metabolic syndrome and other cardiovascular risk factors are highly prevalent in people with schizophrenia. Patients are at risk for premature mortality and overall have limited access to physical health care. In part these cardio-metabolic risk factors are attributable to unhealthy lifestyle, including poor diet and sedentary behaviour. But over recent years it has become apparent that antipsychotic agents can have a negative impact on some of the modifiable risk factors. The psychiatrist needs to be aware of the potential metabolic side effects of antipsychotic medication and to include them in the risk/benefit assessment when choosing a specific antipsychotic. He should also be responsible for the implementation of the necessary screening assessments and referral for treatment of any physical illness. Multidisciplinary assessment of psychiatric and medical conditions is needed. The somatic treatments offered to people with severe and enduring mental illness should be at par with general health care in the non-psychiatrically ill population.status: publishe
The orbit first! A novel surgical treatment protocol for secondary orbitozygomatic reconstruction
A novel surgical treatment sequence for secondary orbitozygomatic complex (OZC) reconstruction is described. Orbital reconstruction is performed before OZC repositioning. A surgical plan is made: the affected OZC is virtually osteotomized and aligned with a mirrored model of the unaffected OZC. A patient-specific implant (PSI) is designed for orbital reconstruction. Screw holes from the primary reconstruction are used for fixation. Primary screw hole positions at the repositioned OZC are embedded in the design, to guide OZC repositioning. A second patient-specific design is made for guidance at the zygomaticomaxillary buttress. The workflow was utilized in two patients. The PSI was positioned using navigation feedback. After repositioning of the zygomatic complex, the screw hole positions at the infraorbital rim and zygomaticomaxillary buttress seemed to align perfectly: no screw hole adjustments were necessary. Minor deviations were seen between planned and acquired PSI position; the mean errors between planned and acquired OZC position were 1.5 and 1.2 mm. Orbital reconstruction with a PSI before OZC repositioning ensures true-to-original orbital reconstruction. The use of old screw hole positions enables the PSI to be used as a static guide for ON repositioning. The combination of static and dynamic guidance increases predictability in secondary OZC reconstruction. (C) 2017 Published by Elsevier Ltd on behalf of European Association for Cranio-Maiillo-Facial Surger
- …