BackgroundIn competency-based medical education emphasis has shifted towards outcomes, capabilities, and learner-centeredness. Together with a focus on sustained evidence of professional competence this calls for new methods of teaching and assessment. Recently, medical educators advocated the use of a holistic, programmatic approach towards assessment. Besides maximum facilitation of learning it should improve the validity and reliability of measurements and documentation of competence development. We explored how, in a competency-based curriculum, current theories on programmatic assessment interacted with educational practice.MethodsIn a development study including evaluation, we investigated the implementation of a theory-based programme of assessment. Between April 2011 and May 2012 quantitative evaluation data were collected and used to guide group interviews that explored the experiences of students and clinical supervisors with the assessment programme. We coded the transcripts and emerging topics were organised into a list of lessons learned.ResultsThe programme mainly focuses on the integration of learning and assessment by motivating and supporting students to seek and accumulate feedback. The assessment instruments were aligned to cover predefined competencies to enable aggregation of information in a structured and meaningful way. Assessments that were designed as formative learning experiences were increasingly perceived as summative by students. Peer feedback was experienced as a valuable method for formative feedback. Social interaction and external guidance seemed to be of crucial importance to scaffold self-directed learning. Aggregating data from individual assessments into a holistic portfolio judgement required expertise and extensive training and supervision of judges.ConclusionsA programme of assessment with low-stakes assessments providing simultaneously formative feedback and input for summative decisions proved not easy to implement. Careful preparation and guidance of the implementation process was crucial. Assessment for learning requires meaningful feedback with each assessment. Special attention should be paid to the quality of feedback at individual assessment moments. Comprehensive attention for faculty development and training for students is essential for the successful implementation of an assessment programme.

One of the important challenges in bone tissue engineering is the development of biodegradable bone substitutes with appropriate mechanical and biological properties for the treatment of larger defects and those with complex shapes. Recently, magnesium phosphate (MgP) doped with biologically active ions like strontium (Sr 2+ ) have shown to significantly enhance bone formation when compared with the standard calcium phosphate-based ceramics. However, such materials can hardly be shaped into large and complex geometries and more importantly lack the adequate mechanical properties for the treatment of load-bearing bone defects. In this study, we have fabricated bone implants through extrusion assisted three-dimensional (3D) printing of MgP ceramics modified with Sr 2+ ions (MgPSr) and a medical-grade polycaprolactone (PCL) polymer phase. MgPSr with 30 wt % PCL (MgPSr-PCL30) allowed the printability of relevant size structures (>780 mm 3 ) at room temperature with an interconnected macroporosity of approximately 40%. The printing resulted in implants with a compressive strength of 4.3 MPa, which were able to support up to 50 cycles of loading without plastic deformation. Notably, MgPSr-PCL30 scaffolds were able to promote in vitro bone formation in medium without the supplementation with osteo-inducing components. In addition, long-term in vivo performance of the 3D printed scaffolds was investigated in an equine tuber coxae model over 6 months. The micro-CT and histological analysis showed that implantation of MgPSr-PCL30 induced bone regeneration, while no bone formation was observed in the empty defects. Overall, the novel polymer-modified MgP ceramic material and extrusion-based 3D printing process presented here greatly improved the shape ability and load-bearing properties of MgP-based ceramics with simultaneous induction of new bone formation.

Summary Reasons for performing study: The concept of functional adapatation of articular cartilage during maturation has emerged from earlier biochemical research. However, articular cartilage has principally a biomechanical function governed by joint loading. Objectives: To verify whether the concept of functional adaptation can be confirmed by direct measurement of biomechanical properties of cartilage. Hypothesis: Fetuses have homogeneous (i.e. site‐independent) cartilage with regard to biomechanical properties. During growth and development to maturity, the biomechanical characteristics adapt according to functional (loading) demands, leading to distinct, site‐dependent biomechanical heterogeneity of articular cartilage. Methods: Osteochondral plugs were drilled out of the surface at 2 differently loaded sites (Site 1: intermittent impact‐loading during locomotion, Site 2: low‐level constant loading during weightbearing) of the proximal articular cartilage surface of the proximal phalanx in the forelimb from stillborn foals (n = 8), horses of age 5 (n = 9) and 18 months (n = 9) and mature horses (n = 13). Cartilage thickness was measured using ultrasonic, optical and needle‐probe techniques. The osteochondral samples were biomechanically tested in indentation geometry. Young's modulus at equilibrium, dynamic modulus at 1 Hz and the ratios of these moduli values between Sites 1 and 2 were calculated. Age and site effects were evaluated statistically using ANOVA tests. The level of significance was set at P<0.05. Results: Fetal cartilage was significantly thicker compared to the other ages with no further age‐dependent differences in cartilage thickness from age 5 months onwards. Young's modulus stayed constant at Site 1, whereas at Site 2 there was a gradual, statistically significant increase in modulus during maturation. Values of dynamic modulus at both Sites 1 and 2 were significantly higher in the fetus and decreased after birth. Values for both moduli were significantly different between Sites 1 and 2 from age 18 months onwards. The ratio of values between Sites 1 and 2 for Young's modulus and dynamic modulus showed a gradual decrease from ˜1.0 at birth to 0.5‐0.6 in the mature horse. At age 18 months, all values were comparable to those in the mature horse. Conclusions: In line with the concept of functional adaptation, the neonate is born with biomechanically ‘blank’ or homogeneous cartilage. Functional adaptation of biomechanical properties takes place early in life, resulting in cartilage with a distinct heterogeneity in functional characteristics. At age 18 months, functional adaptation, as assessed by the biomechanical characteristics, has progressed to a level comparable to the mature horse and, after this age, no major adaptations seem to occur. Potential relevance: Throughout life, different areas of articular cartilage are subjected to different types of loading. Differences in loading can adequately be met only when the tissue is biomechanically adapted to withstand these different load...

Arthroscopic assessment of articular tissues is highly subjective and poorly reproducible. To ensure optimal patient care, quantitative techniques (e.g., near infrared spectroscopy (NIRS)) could substantially enhance arthroscopic diagnosis of initial signs of post-traumatic osteoarthritis (PTOA). Here, we demonstrate, for the first time, the potential of arthroscopic NIRS to simultaneously monitor progressive degeneration of cartilage and subchondral bone in vivo in Shetland ponies undergoing different experimental cartilage repair procedures. Osteochondral tissues adjacent to the repair sites were evaluated using an arthroscopic NIRS probe and significant (p < 0.05) degenerative changes were observed in the tissue properties when compared with tissues from healthy joints. Artificial neural networks (ANN) enabled reliable (ρ = 0.63–0.87, NMRSE = 8.5–17.2%, RPIQ = 1.93–3.03) estimation of articular cartilage biomechanical properties, subchondral bone plate thickness and bone mineral density (BMD), and subchondral trabecular bone thickness, bone volume fraction (BV), BMD, and structure model index (SMI) from in vitro spectral data. The trained ANNs also reliably predicted the properties of an independent in vitro test group (ρ = 0.54–0.91, NMRSE = 5.9–17.6%, RPIQ = 1.68–3.36). However, predictions based on arthroscopic NIR spectra were less reliable (ρ = 0.27–0.74, NMRSE = 14.5–24.0%, RPIQ = 1.35–1.70), possibly due to errors introduced during arthroscopic spectral acquisition. Adaptation of NIRS could address the limitations of conventional arthroscopy through quantitative assessment of lesion severity and extent, thereby enhancing detection of initial signs of PTOA. This would be of high clinical significance, for example, when conducting orthopaedic repair surgeries.

Conventional arthroscopic evaluation of articular cartilage is subjective and insufficient for assessing early compositional and structural changes during the progression of post-traumatic osteoarthritis. Therefore, in this study, arthroscopic near-infrared (NIR) spectroscopy is introduced, for the first time, for in vivo evaluation of articular cartilage thickness, proteoglycan (PG) content, and collagen orientation angle. NIR spectra were acquired in vivo and in vitro from equine cartilage adjacent to experimental cartilage repair sites. As reference, digital densitometry and polarized light microscopy were used to evaluate superficial and full-thickness PG content and collagen orientation angle. To relate NIR spectra and cartilage properties, ensemble neural networks, each with two different architectures, were trained and evaluated by using Spearman’s correlation analysis ( ρ ). The ensemble networks enabled accurate predictions for full-thickness reference properties (PG content: ρ in vitro, Val = 0.691, ρ in vivo = 0.676; collagen orientation angle: ρ in vitro, Val = 0.626, ρ in vivo = 0.574) from NIR spectral data. In addition, the networks enabled reliable prediction of PG content in superficial (25%) cartilage ( ρ in vitro, Val = 0.650, ρ in vivo = 0.613) and cartilage thickness ( ρ in vitro, Val = 0.797, ρ in vivo = 0.596). To conclude, NIR spectroscopy could enhance the detection of initial cartilage degeneration and thus enable demarcation of the boundary between healthy and compromised cartilage tissue during arthroscopic surgery.