The objective of this study is to develop, test and validate a fully automatic, deep learning-based segmentation method for the wrist joint cartilage in magnetic resonance images. The study was conducted in 8 healthy volunteers and 3 patients with wrist joint diseases. 3D MRI datasets (20 in total) were acquired at 1.5T using a VIBE sequence. Wrist cartilage was segmented on coronal slices by a clinician and the convolutional neural network (CNN) was trained, developed and tested using the corresponding segmented masks. For an inter and intra observer study wrist cartilage was segmented by three observers once and twice by one observer on a dataset of 20 central coronal slices. Performance of the CNN was compared quantitatively to the manual segmentations using the concordance and the Sørensen-Dice similarity coefficients (DSC). Cartilage segmentations obtained with the CNN showed a substantial agreement with the manual segmentations for the whole wrist joint (DSC = 0.73) and a good agreement (DSC = 0.81) for the central coronal slices. The inter-and intra-observer concordance indices for manual segmentations were 0.55 and 0.85, respectively. The concordance index of the CNN-based segmentation was 0.69 when compared to the manual segmentations. The fully automatic deep-learning based segmentation of the wrist cartilage showed a high concordance with the manual measurements. It could be applied to determine an automatic, quantitative metric in clinical wrist cartilage studies.
Accumulation of BMF is induced by hypercortisolism. In remission patients BMF reached values of controls. Further studies are needed to determine whether this increase in marrow adiposity in CS is associated with bone loss.
La creación en diciembre de 2001 de la Agencia Nacional de Evaluación de la Calidad y Acreditación (ANECA) generó un nuevo contexto institucional cuyos requisitos para la profesionalización universitaria en España habrían repercutido directamente en la orientación de la investigación científica. La entrada en vigor en enero de 2008 del programa ACADEMIA de acreditación del profesorado universitario quizá fuese el factor más decisivo de lo que ha dado en llamarse el efecto ANECA, ya que situó la «productividad científica» como el criterio central para el desarrollo de la carrera académica. En este trabajo utilizamos como indicador de este supuesto efecto las prácticas de publicación de los investigadores sobre Comunicación, partiendo de la hipótesis de que con la instauración del programa ACADEMIA se ha producido un incremento de los trabajos en co-autoría en revistas especializadas, dado el alto valor curricular otorgado ahora a este tipo de publicación científica. Para contrastar esta hipótesis se ha diseñado un análisis de contenido de los textos publicados por cinco revistas científicas españolas de Comunicación entre 2008 y 2014, con un corpus de 529 artículos. Los resultados indican, en efecto, una disminución apreciable de los trabajos de autoría individual y un incremento sustancial de aquellos otros en co-autoría. No obstante, se ha observado también un incremento en ese periodo de artículos generados por proyectos de investigación financiados, lo que induce a pensar que, al margen o junto al impacto del programa ACADEMIA, aquellas prácticas investigadoras colaborativas puedan haber venido impulsadas por el nuevo estatuto autónomo obtenido por el área de Comunicación en el Plan Estatal de I+D+i desde la convocatoria de 2010.
Palabras clave: Comunicación, investigación española, autoría, revistas científicas, efecto ANECA
No injection treatment has been proven to be effective in wrist osteoarthritis. When conservative measures fail, its management involves invasive surgery. Emergence of biotherapies based on adipose derived stem cells (ADSC) offers promising treatments for chondral degenerative diseases. Microfat (MF) and platelets-rich plasma (PRP) mixture, rich in growth factors and ADSC could be a minimally invasive injectable option in the treatment of wrist osteoarthritis. The aim of this uncontrolled prospective study was to evaluate the safety of a 4 mL autologous MF-PRP intra-articular injection, performed under local anesthesia. The secondary purpose was to describe the clinical and MRI results at 12 months of follow-up. Patients’ data collected were: occurrence of adverse effects, Visual analog scale (VAS), Disabilities of the Arm, Shoulder and Hand score (DASH) and Patient-Rated Wrist Evaluation (PRWE) scores, wrist strength, wrist range of motion and 5-level satisfaction scale. No serious adverse event was recorded. A statistically significant decrease in pain, DASH, PRWE and force was observed at each follow-up. Our preliminary results suggest that intra-articular autologous MF and PRP injection may be a new therapeutic strategy for wrist osteoarthritis resistant to medical symptomatic treatment prior to surgical interventions.
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