The accuracy of the models was significantly different for the studied holding times. The highest standard error of the estimate was evidenced for 10 s experiments, and its minimum was noted at times close to 120-180 s.This study examined the effect of once-weekly parathyroid hormone (PTH) combined with alendronate upon osteoporotic fracture healing after long-term alendronate anti-osteoporosis therapy. Seventy-six 12-week-old female Sprague-Dawley rats were either sham operated or bilaterally ovariectomized (OVX). Following confirmation of osteoporosis 3 months after OVX, the remaining 64 animals received alendronate therapy. After 3 months of alendronate treatment, all rats underwent unilateral transverse tibial osteotomy. Animals were immediately randomly assigned to one of four groups (1) alendronate followed by vehicle (ALN-VEH), (2) continuation of alendronate (ALN-ALN), (3) alendronate followed by once-weekly PTH alone (ALN-PTH), (4) continuation of alendronate combined with once-weekly PTH (ALN-ALN + PTH) until collection at 4 or 8 weeks after osteotomy. The fractured tibia was assessed using x-ray, dual-energy x-ray absorptiometry, microcomputed tomography, biomechanical testing, histology, and sequential fluorescence labeling. The ALN-ALN + PTH treatment significantly increased total callus volume, mineralized callus volume, mineralized callus volume/total callus volume, and biomechanical strength of the callus relative to ALN-VEH and ALN-PTH treatments at both 4 and 8 weeks and produced more mature trabecular bone compared with ALN-ALN treatment at 8 weeks. RANKL/osteoprotegerin (OPG) are osteoclastogenesis markers, while cluster of differentiation 31 (CD31) is an important marker of angiogenesis. Qualitative immunohistochemical analysis revealed that CD31 and OPG expression was was strong after ALN-ALN + PTH compared with ALN-ALN treatment, whereas RANKL expression was weak after ALN-ALN + PTH versus ALN-PTH treatment. Our study showed that once-weekly PTH combined with alendronate was beneficial in promoting the healing of fractures acquired after long-term alendronate therapy in OVX-induced osteoporotic rats.Different kinds of bone measurements are commonly derived from computed-tomography (CT) volumes to answer a multitude of questions in biology and related fields. The underlying steps of bone segmentation and, optionally, polygon surface generation are crucial to keep the measurement error small. In this study, the performance of different, easily accessible segmentation techniques (global thresholding, automatic local thresholding, weighted random walk, neural network, and watershed) and surface generation approaches (different algorithms combined with varying degrees of simplification) was analyzed and recommendations for minimizing inaccuracies were derived. The different approaches were applied to synthetic CT volumes for which the correct segmentation and surface geometry were known. The most accurate segmentations of the synthetic volumes were achieved by setting a case-specific window to the gray value histogram and subsequently applying automatic local thresholding with appropriately chosen thresholding method and radius. Surfaces generated by the Amira® module Generate Lego Surface in combination with careful surface simplification were the most accurate. Surfaces with sub-voxel accuracy were obtained even for synthetic CT volumes with low contrast-to-noise ratios. Segmentation trials with real CT volumes supported the findings. Very accurate segmentations and surfaces can be derived from CT volumes by using readily accessible software packages. The presented results and derived recommendations will help to reduce the measurement error in future studies. Furthermore, the demonstrated strategies for assessing segmentation and surface qualities can be adopted to quantify the performance of new segmentation approaches in future studies.
Phyllodes tumours (PTs) represent an unusual but complex group of breast lesions with a tendency to recur locally and, less commonly, metastasise. On core biopsies, their appearances can be difficult to discriminate from those of other fibroepithelial lesions, which may compromise their surgical management. The aims of this study were to assess the preoperative diagnosis of PTs and to evaluate the impacts of surgical management and morphological features on their behaviour.

We combined datasets from three centres over two decades, including core biopsies, excision specimens, and follow-up. Core biopsy results were compared with final excision specimens. The relationships of surgical procedure and morphological features with local recurrence (LR) and metastasis were assessed. Two hundred and forty-one PTs were studied. Core biopsy resulted in a diagnosis of possible or definite PT in 76% of cases. Malignant tumours were more likely to be larger, occurred at an older age, and were surgically more challenging, with difficulties being encountered in achieving negative margins. There were 12 cases (5%) that showed LR alone, and another six cases (2.5%) that had distant metastases. Morphological features associated with adverse outcome were grade of PT, increased mitotic counts, necrosis, infiltrative margins, stromal atypia, and heterologous components. Both LR and metastatic behaviour correlated with larger size and distance to margins.

Our results suggest that excision margins have a significant impact on LR of PT, whereas metastatic behaviour is influenced by tumour biology. We add to the evidence base on histological features of tumours that contribute to long-term outcomes of PT patients.
Our results suggest that excision margins have a significant impact on LR of PT, whereas metastatic behaviour is influenced by tumour biology. https://www.selleckchem.com/ We add to the evidence base on histological features of tumours that contribute to long-term outcomes of PT patients.
Peer learning is increasingly used for healthcare students in the clinical setting. However, as peer learning between students involves students taking a teaching role, it is unclear what the supervisor's role then becomes. It is vital to determine the role of the supervisor in student peer learning to ensure high quality learning and patient safety.

Semi-structured interviews were performed with 15 student nurse supervisors (nurses and assistant nurses) from two hospital wards that practice peer learning to investigate the different ways clinical supervisors view their role in students' peer learning. Transcribed data were coded and analysed using a phenomenographic approach.

Four hierarchical levels of the supervisor's understanding of their role in students' peer learning were identified the teacher; the facilitator; the stimulator; and the team player. These categories represent an increasingly inclusive view of which people present on the ward play a role in enabling effective peer learning.

The various understandings of supervisor roles have implications for how supervision of peer learning could be implemented in the future.