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https://www.readbyqxmd.com/read/28340044/oral-ghrelin-receptor-agonist-mk-0677-increases-serum-insulin-like-growth-factor-1-in-hemodialysis-patients-a-randomized-blinded-study
#1
Garland A Campbell, James T Patrie, Bruce D Gaylinn, Michael O Thorner, Warren K Bolton
Background: . Protein-energy wasting (PEW) in end-stage renal disease (ESRD) patients is associated with increased morbidity and mortality, but options for treatment are limited. Growth hormone (GH) increases insulin-like growth factor 1 (IGF-1), with improved nutritional parameters, but must be given subcutaneously and does not provide normal GH secretion patterns. MK-0677, an oral ghrelin receptor agonist (GRA), maintains normal GH secretion and increases lean body mass in normal subjects; it has not been studied in dialysis patients, an essential step in assessing efficacy and safety prior to clinical trials...
March 3, 2017: Nephrology, Dialysis, Transplantation
https://www.readbyqxmd.com/read/28296919/image-mosaicking-using-surf-features-of-line-segments
#2
Zhanlong Yang, Dinggang Shen, Pew-Thian Yap
In this paper, we present a novel image mosaicking method that is based on Speeded-Up Robust Features (SURF) of line segments, aiming to achieve robustness to incident scaling, rotation, change in illumination, and significant affine distortion between images in a panoramic series. Our method involves 1) using a SURF detection operator to locate feature points; 2) rough matching using SURF features of directed line segments constructed via the feature points; and 3) eliminating incorrectly matched pairs using RANSAC (RANdom SAmple Consensus)...
2017: PloS One
https://www.readbyqxmd.com/read/28292743/-the-score-matters-wide-variations-in-predictive-performance-of-18-paediatric-track-and-trigger-systems
#3
Susan M Chapman, Jo Wray, Kate Oulton, Christina Pagel, Samiran Ray, Mark J Peters
OBJECTIVE: To compare the predictive performance of 18 paediatric early warning systems (PEWS) in predicting critical deterioration. DESIGN: Retrospective case-controlled study. PEWS values were calculated from existing clinical data, and the area under the receiver operator characteristic curve (AUROC) compared. SETTING: UK tertiary referral children's hospital. PATIENTS: Patients without a 'do not attempt resuscitation' order admitted between 1 January 2011 and 31 December 2012...
March 14, 2017: Archives of Disease in Childhood
https://www.readbyqxmd.com/read/28289051/paediatric-early-warning-systems-for-detecting-and-responding-to-clinical-deterioration-in-children-a-systematic-review
#4
Veronica Lambert, Anne Matthews, Rachel MacDonell, John Fitzsimons
OBJECTIVE: To systematically review the available evidence on paediatric early warning systems (PEWS) for use in acute paediatric healthcare settings for the detection of, and timely response to, clinical deterioration in children. METHOD: The electronic databases PubMed, MEDLINE, CINAHL, EMBASE and Cochrane were searched systematically from inception up to August 2016. Eligible studies had to refer to PEWS, inclusive of rapid response systems and teams. Outcomes had to be specific to the identification of and/or response to clinical deterioration in children (including neonates) in paediatric hospital settings (including emergency departments)...
March 13, 2017: BMJ Open
https://www.readbyqxmd.com/read/28286884/stability-weighted-matrix-completion-of-incomplete-multi-modal-data-for-disease-diagnosis
#5
Kim-Han Thung, Ehsan Adeli, Pew-Thian Yap, Dinggang Shen
Effective utilization of heterogeneous multi-modal data for Alzheimer's Disease (AD) diagnosis and prognosis has always been hampered by incomplete data. One method to deal with this is low-rank matrix completion (LRMC), which simultaneous imputes missing data features and target values of interest. Although LRMC yields reasonable results, it implicitly weights features from all the modalities equally, ignoring the differences in discriminative power of features from different modalities. In this paper, we propose stability-weighted LRMC (swLRMC), an LRMC improvement that weights features and modalities according to their importance and reliability...
October 2016: Medical Image Computing and Computer-assisted Intervention: MICCAI ..
https://www.readbyqxmd.com/read/28284800/joint-prediction-of-longitudinal-development-of-cortical-surfaces-and-white-matter-fibers-from-neonatal-mri
#6
Islem Rekik, Gang Li, Pew-Thian Yap, Geng Chen, Weili Lin, Dinggang Shen
The human brain can be modeled as multiple interrelated shapes (or a multishape), each for characterizing one aspect of the brain, such as the cortex and white matter pathways. Predicting the developing multishape is a very challenging task due to the contrasting nature of the developmental trajectories of the constituent shapes: smooth for the cortical surface and non-smooth for white matter tracts due to changes such as bifurcation. We recently addressed this problem and proposed an approach for predicting the multishape developmental spatiotemporal trajectories of infant brains based only on neonatal MRI data using a set of geometric, dynamic, and fiber-to-surface connectivity features...
March 9, 2017: NeuroImage
https://www.readbyqxmd.com/read/28257726/is-it-cloudy-in-the-pews
#7
EDITORIAL
Peter M Greco
No abstract text is available yet for this article.
March 2017: American Journal of Orthodontics and Dentofacial Orthopedics
https://www.readbyqxmd.com/read/28215493/comparison-of-nutritional-risk-scores-for-predicting-mortality-in-japanese-chronic-hemodialysis-patients
#8
Hiroshi Takahashi, Keiko Inoue, Kazue Shimizu, Keiko Hiraga, Erika Takahashi, Kaori Otaki, Taeko Yoshikawa, Kumiko Furuta, Chika Tokunaga, Tomoyo Sakakibara, Yasuhiko Ito
OBJECTIVE: Protein energy wasting (PEW) is consistently associated with poor prognosis in hemodialysis (HD) patients. We compared the predictability of PEW as diagnosed by The International Society of Renal Nutrition and Metabolism criteria (PEWISRNM) and geriatric nutritional risk index (GNRI) for all-cause mortality in Japanese HD patients. As cut-off values for body mass index (BMI) for PEW have not been established in PEWISRNM for Asian populations, these were also investigated. DESIGN AND SUBJECTS: The nutritional status from 409 HD patients was evaluated according to ISRNM and GNRI criteria...
February 16, 2017: Journal of Renal Nutrition
https://www.readbyqxmd.com/read/28177093/-pharmacological-and-nutritional-problems-in-pregnant-patient-on-chronic-dialysis
#9
Michele Giannattasio, Federica Giannattasio, Giuseppe Gernone
Many of information on the safety of drugs during pregnancy were obtained many years ago, before the pregnant women were excluded from the study protocols for possible fetal risks. Because randomized trials in pregnancy are complex and considered unethical. For the same reasons, there are no randomized controlled trials in pregnant women on dialysis. Moreover Compared to the normal subject, the pharmacokinetics and pharmacodynamics in these patients are influenced or by pregnancy or from dialysis techniques or from chronic uremia...
January 2017: Giornale Italiano di Nefrologia: Organo Ufficiale Della Società Italiana di Nefrologia
https://www.readbyqxmd.com/read/28148738/cell-scientist-to-watch-andrew-holland
#10
(no author information available yet)
Andrew received his first degree in natural sciences from the University of Cambridge and a Masters degree from the University of Manchester, followed by a PhD with Stephen Taylor in Manchester. He then moved to California in 2007 with an EMBO long-term fellowship for his postdoctoral research with Don Cleveland at the Ludwig Institute for Cancer Research. In 2013, Andrew started his own lab as an Assistant Professor in the Department of Molecular Biology and Genetics at the Johns Hopkins University School of Medicine, having been named a Kimmel Scholar and a Pew-Stewart Scholar in 2014...
February 1, 2017: Journal of Cell Science
https://www.readbyqxmd.com/read/28090604/xq-nlm-denoising-diffusion-mri-data-via-x-q-space-non-local-patch-matching
#11
Geng Chen, Yafeng Wu, Dinggang Shen, Pew-Thian Yap
Noise is a major issue influencing quantitative analysis in diffusion MRI. The effects of noise can be reduced by repeated acquisitions, but this leads to long acquisition times that can be unrealistic in clinical settings. For this reason, post-acquisition denoising methods have been widely used to improve SNR. Among existing methods, non-local means (NLM) has been shown to produce good image quality with edge preservation. However, currently the application of NLM to diffusion MRI has been mostly focused on the spatial space (i...
October 2016: Medical Image Computing and Computer-assisted Intervention: MICCAI ..
https://www.readbyqxmd.com/read/28090600/learning-based-3t-brain-mri-segmentation-with-guidance-from-7t-mri-labeling
#12
Renping Yu, Minghui Deng, Pew-Thian Yap, Zhihui Wei, Li Wang, Dinggang Shen
Brain magnetic resonance image segmentation is one of the most important tasks in medical image analysis and has considerable importance to the effective use of medical imagery in clinical and surgical setting. In particular, the tissue segmentation of white matter (WM), gray matter (GM), and cerebrospinal fluid (CSF) is crucial for brain measurement and disease diagnosis. A variety of studies have shown that the learning-based techniques are efficient and effective in brain tissue segmentation. However, the learning-based segmentation methods depend largely on the availability of good training labels...
October 2016: Machine Learning in Medical Imaging
https://www.readbyqxmd.com/read/28070568/construction-of-neonatal-diffusion-atlases-via-spatio-angular-consistency
#13
Behrouz Saghafi, Geng Chen, Feng Shi, Pew-Thian Yap, Dinggang Shen
Atlases constructed using diffusion-weighted imaging (DWI) are important tools for studying human brain development. Atlas construction is in general a two-step process involving image registration and image fusion. The focus of most studies so far has been on improving registration thus image fusion is commonly performed using simple averaging, often resulting in fuzzy atlases. In this paper, we propose a patch-based method for DWI atlas construction. Unlike other atlases that are based on the diffusion tensor model, our atlas is model-free...
October 2016: Patch Based Tech Med Imaging (2016)
https://www.readbyqxmd.com/read/28066844/tight-graph-framelets-for-sparse-diffusion-mri-q-space-representation
#14
Pew-Thian Yap, Bin Dong, Yong Zhang, Dinggang Shen
In diffusion MRI, the outcome of estimation problems can often be improved by taking into account the correlation of diffusion-weighted images scanned with neighboring wavevectors in q-space. For this purpose, we propose in this paper to employ tight wavelet frames constructed on non-flat domains for multi-scale sparse representation of diffusion signals. This representation is well suited for signals sampled regularly or irregularly, such as on a grid or on multiple shells, in q-space. Using spectral graph theory, the frames are constructed based on quasi-affine systems (i...
October 2016: Medical Image Computing and Computer-assisted Intervention: MICCAI ..
https://www.readbyqxmd.com/read/28066842/diagnosis-of-alzheimer-s-disease-using-view-aligned-hypergraph-learning-with-incomplete-multi-modality-data
#15
Mingxia Liu, Jun Zhang, Pew-Thian Yap, Dinggang Shen
Effectively utilizing incomplete multi-modality data for diagnosis of Alzheimer's disease (AD) is still an area of active research. Several multi-view learning methods have recently been developed to deal with missing data, with each view corresponding to a specific modality or a combination of several modalities. However, existing methods usually ignore the underlying coherence among views, which may lead to suboptimal learning performance. In this paper, we propose a view-aligned hypergraph learning (VAHL) method to explicitly model the coherence among the views...
October 2016: Medical Image Computing and Computer-assisted Intervention: MICCAI ..
https://www.readbyqxmd.com/read/28059029/validation-of-the-continuous-tracking-paradigm-for-studying-implicit-motor-learning
#16
Stefan Künzell, Dominicus Sießmeir, Harald Ewolds
A continuous pursuit-tracking task is the typical experimental paradigm to investigate implicit motor learning. Implicit motor learning is proven by a greater improvement in tracking of a repeated segment of a target path compared to random segments ( Pew, 1974 ). Recently, doubts about the validity of results obtained with this paradigm have been raised. Improved tracking of a repeated segment might simply be due to the characteristics of that particular segment. In response to these doubts, we seek to improve the continuous tracking task...
November 2016: Experimental Psychology
https://www.readbyqxmd.com/read/28058732/bromocriptine-treatment-at-the-end-of-lactation-prevents-hyperphagia-higher-visceral-fat-and-liver-triglycerides-in-early-weaned-rats-at-adulthood
#17
Nayara Peixoto-Silva, Egberto G Moura, Janaine C Carvalho, Jéssica L Nobre, Fernanda T Quitete, Cintia R Pinheiro, Ana Paula Santos-Silva, Elaine de Oliveira, Patricia C Lisboa
Non-pharmacological early weaning (NPEW) leads offspring to obesity, higher liver oxidative stress and microsteatosis in adulthood. Pharmacological EW (PEW) by maternal treatment with bromocriptine (BRO) causes obesity in the adult progeny but precludes hepatic injury. To test the hypothesis that BRO prevents the deleterious changes of NPEW, we injected BRO into the pups from the NPEW model on late lactation. Lactating rats were divided into 2 groups: dams with an adhesive bandage around the body to prevent breastfeeding on the last 3 days of lactation and dams whose pups had free suckling (C)...
January 6, 2017: Clinical and Experimental Pharmacology & Physiology
https://www.readbyqxmd.com/read/28057565/development-and-validation-of-a-continuously-age-adjusted-measure-of-patient-condition-for-hospitalized-children-using-the-electronic-medical-record
#18
Michael J Rothman, Joseph J Tepas, Andrew J Nowalk, James E Levin, Joan M Rimar, Albert Marchetti, Allen L Hsiao
Awareness of a patient's clinical status during hospitalization is a primary responsibility for hospital providers. One tool to assess status is the Rothman Index (RI), a validated measure of patient condition for adults, based on empirically derived relationships between 1-year post-discharge mortality and each of 26 clinical measurements available in the electronic medical record. However, such an approach cannot be used for pediatrics, where the relationships between risk and clinical variables are distinct functions of patient age, and sufficient 1-year mortality data for each age group simply does not exist...
January 2, 2017: Journal of Biomedical Informatics
https://www.readbyqxmd.com/read/28054724/learning-based-3t-brain-mri-segmentation-with-guidance-from-7t-mri-labeling
#19
Minghui Deng, Renping Yu, Li Wang, Feng Shi, Pew-Thian Yap, Dinggang Shen
PURPOSE: Segmentation of brain magnetic resonance (MR) images into white matter (WM), gray matter (GM), and cerebrospinal fluid (CSF) is crucial for brain structural measurement and disease diagnosis. Learning-based segmentation methods depend largely on the availability of good training ground truth. However, the commonly used 3T MR images are of insufficient image quality and often exhibit poor intensity contrast between WM, GM, and CSF. Therefore, they are not ideal for providing good ground truth label data for training learning-based methods...
December 2016: Medical Physics
https://www.readbyqxmd.com/read/28049236/nutritional-status-in-adults-with-predialysis-chronic-kidney-disease-know-ckd-study
#20
Young Youl Hyun, Kyu Beck Lee, Seung Hyeok Han, Yeong Hoon Kim, Yong Soo Kim, Sung Woo Lee, Yun Kyu Oh, Dong Wan Chae, Curie Ahn
Adverse changes in nutrition are prevalent and are strong indicators of adverse outcomes in patients with chronic kidney disease (CKD). The International Society of Renal Nutrition and Metabolism (ISRNM) proposed a common nomenclature and diagnostic criteria to identify protein-energy wasting (PEW) in CKD patients. We examined the nutritional status in 1,834 adults with predialysis CKD enrolled in the KoreaN cohort study for Outcome in patients With Chronic Kidney Disease (KNOW-CKD) study. As there was a need for further understanding of nutritional status and associated factors in CKD, we evaluated the prevalence and associated factors of PEW in adults with predialysis CKD...
February 2017: Journal of Korean Medical Science
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