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https://www.readbyqxmd.com/read/28817821/endoscopic-lung-volume-reduction-an-expert-panel-recommendation-update-2017
#1
Felix J F Herth, Dirk-Jan Slebos, Gerard J Criner, Pallav L Shah
Interest in endoscopic lung volume reduction (ELVR) technologies for emphysema is consistently growing. In the last couple of months, several endoscopic options (e.g., endo- or intrabronchial valves, coil implants, and thermal vapor ablation) that have been evaluated in randomized controlled trials have been reported with the ultimate goal of improving respiratory mechanics and alleviating chronic dyspnea. Patients presenting with severe air trapping and thoracic hyperinflation have the greatest potential to derive benefit from ELVR procedures...
August 18, 2017: Respiration; International Review of Thoracic Diseases
https://www.readbyqxmd.com/read/28817818/computed-tomography-the-better-pulmonologist
#2
Felix J F Herth, Maren Schuhmann
No abstract text is available yet for this article.
August 18, 2017: Respiration; International Review of Thoracic Diseases
https://www.readbyqxmd.com/read/28817814/cardiac-computed-tomography-angiographic-findings-as-predictors-of-late-heart-failure-in-an-asymptomatic-diabetic-cohort-an-8-year-prospective-follow-up-study
#3
David A Halon, Jubran Ayman, Ronen Rubinshtein, Barak Zafrir, Mali Azencot, Basil S Lewis
OBJECTIVES: Predictive models for heart failure (HF) in heterogeneous populations have had limited success. We examined cardiac computed tomography angiography (CTA) predictors of HF or cardiovascular death (HF-CVD) in a prospective study of asymptomatic diabetics undergoing baseline assessment by CTA. METHODS: The subjects (n = 735, aged 55-74 years, 51.2% women) had no clinical history of cardiovascular disease at study entry. Coronary artery calcium (CAC) score, CTA-defined coronary atherosclerosis, cardiac chamber volumes, and clinical data were collected and late outcome events recorded over 8...
August 18, 2017: Cardiology
https://www.readbyqxmd.com/read/28817775/departure-from-a-spherically-symmetric-ground-state-in-a-system-with-a-half-filled-shell-the-case-example-of-berkelium-iv-iodate
#4
Mark A Silver, Samantha K Cary, Alejandro J Garza, Ryan E Baumbach, Alexandra A Arico, Gregory A Galmin, Kuan-Wen Chen, Jason A Johnson, Jamie C Wang, Ronald J Clark, Alexander Chemey, Teresa M Eaton, Matthew L Marsh, Kevin Seidler, Shane S Galley, Lambertus van de Burgt, Ashley L Gray, David E Hobart, Kenneth Hanson, Shelley M van Cleve, Frédéric Gendron, Jochen Autschbach, Gustavo E Scuseria, Laurent Maron, Manfred Speldrich, Paul Kögerler, Cristian Celis-Barros, Dayán Paéz-Hernandéz, Ramiro Arratia-Perez, Michael Ruf, Thomas E Albrecht-Schmitt
The reaction of 249Bk(OH)4 with iodate under hydrothermal conditions results in the formation of Bk(IO3)3 as the major product with trace amounts of Bk(IO3)4 also crystallizing from the reaction mixture. The structure of Bk(IO3)3 consists of nine-coordinate BkIII cations that are bridged by iodate anions to yield layers that are isomorphous with those found for AmIII, CfIII, and with lanthanides that possess similar ionic radii. Bk(IO3)4 was expected to adopt the same structure as M(IO3)4 (M = Ce, Np, Pu), but instead parallels the structural chemistry of the smaller ZrIV cation...
August 17, 2017: Journal of the American Chemical Society
https://www.readbyqxmd.com/read/28817773/surface-reaction-barriometry-methane-dissociation-on-flat-and-stepped-transition-metal-surfaces
#5
Davide Migliorini, Helen Jane Chadwick, Francesco Nattino, Ana Gutiérrez-Gonzáles, Eric Dombrowski, Eric A High, Han Guo, Arthur L Utz, Bret Earl Jackson, Rainer D Beck, Geert-Jan Kroes
Accurately simulating heterogeneously catalyzed reactions requires reliable barriers for molecules reacting at defects on metal surfaces, such as steps. However, first principles methods capable of computing these barriers to chemical accuracy have yet to be demonstrated. We show that state-resolved molecular beam experiments combined with ab initio molecular dynamics using specific reaction parameter density functional theory (SRP-DFT) can determine the molecule-metal surface interaction with the required reliability...
August 17, 2017: Journal of Physical Chemistry Letters
https://www.readbyqxmd.com/read/28817741/reconstruction-of-a-severely-atrophied-alveolar-ridge-by-computer-aided-gingival-simulation-and-3d-printed-surgical-guide-a-case-report
#6
In-Seok Song, Mi-Ran Lee, Jae-Jun Ryu, Ui-Lyong Lee
Dental implants positioned in severely atrophied anterior maxillae require esthetic or functional compromises. This case report describes the rehabilitation of a severely atrophied alveolar ridge with a three-dimensional (3D) computer-aided design/computer-aided manufacture (CAD/CAM) surgical guide. A 50-year-old woman had a severely atrophied anterior maxilla with unfavorably positioned dental implants. Functional and esthetic prosthodontic restoration was difficult to achieve. An anterior segmental osteotomy was planned to reposition the dental implants...
August 17, 2017: International Journal of Oral & Maxillofacial Implants
https://www.readbyqxmd.com/read/28817739/three-dimensional-volumetric-changes-in-severely-resorbed-alveolar-sockets-after-ridge-augmentation-with-bovine-derived-xenograft-and-resorbable-barrier-a-preliminary-study-on-cbct-imaging
#7
Valeria Manavella, Federica Romano, Lisa Corano, Cristina Bignardi, Mario Aimetti
PURPOSE: The primary aim of the study was to describe a novel technique to evaluate volumetric hard tissue dimensional changes after ridge augmentation procedures. The secondary aim was to apply this newly developed measuring method to compromised alveolar sockets grafted with a slowly resorbing biomaterial covered with a collagen membrane. MATERIALS AND METHODS: Eleven patients (6 men and 5 women, mean age 52.7 ± 8.3 years) requiring extraction of one hopeless tooth for severe periodontitis in the maxillary anterior area were consecutively treated with a ridge augmentation procedure...
August 17, 2017: International Journal of Oral & Maxillofacial Implants
https://www.readbyqxmd.com/read/28817729/comparison-of-bioimpedance-spectroscopy-and-x-ray-micro-computed-tomography-for-total-fat-volume-measurement-in-mice
#8
Gaelle Aubertin, Amira Sayeh, Jean-Philippe Dillenseger, Estelle Ayme-Dietrich, Philippe Choquet, Nathalie Niederhoffer
Obesity and the metabolic syndrome are two pathologies whose prevalence are in a constant increase. Evaluation of the total fat mass but also of the distribution between visceral and subcutaneous adipose tissue are important factors while assessing the pathophysiology of these two pathologies. Computed tomography (CT) and bioimpedance (BIS) are the translational methods the most frequently used in human beings as well as in rodent models in longitudinal studies on adiposity and obesity. Surprisingly, no direct comparison of micro-CT and BIS was reported yet in mice...
2017: PloS One
https://www.readbyqxmd.com/read/28817700/the-loss-and-recovery-of-vertebrate-vision-examined-in-microplates
#9
Robert J Thorn, Danielle E Clift, Oladele Ojo, Ruth M Colwill, Robbert Creton
Regenerative medicine offers potentially ground-breaking treatments of blindness and low vision. However, as new methodologies are developed, a critical question will need to be addressed: how do we monitor in vivo for functional success? In the present study, we developed novel behavioral assays to examine vision in a vertebrate model system. In the assays, zebrafish larvae are imaged in multiwell or multilane plates while various red, green, blue, yellow or cyan objects are presented to the larvae on a computer screen...
2017: PloS One
https://www.readbyqxmd.com/read/28817662/single-scan-rest-stress-imaging-with-99mtc-sestamibi-and-cadmium-zinc-telluride-based-spect-for-hyperemic-flow-quantification-a-feasibility-study-evaluated-with-cardiac-magnetic-resonance-imaging
#10
Yu-Hua Dean Fang, Yuan-Chang Liu, Kung-Chu Ho, Feng-Cheng Kuo, Ching-Fang Yang, Tzu-Chen Yen, I-Chang Hsieh
INTRODUCTION: We aimed to evaluate whether the hyperemic myocardial blood flow (MBF) can be estimated using cadmium zinc telluride (CZT)-based single-photon emission computed tomography (SPECT) cameras with a single, rapid rest/stress dynamic scan. Dynamic contrast-enhanced (DCE) cardiac magnetic resonance imaging (MRI) was used as a reference modality for flow measurement. MATERIALS AND METHODS: The proposed protocol included both the rest and stress acquisitions within a 24-min scan...
2017: PloS One
https://www.readbyqxmd.com/read/28817653/perilymph-pharmacokinetics-of-marker-applied-through-a-cochlear-implant-in-guinea-pigs
#11
Alec Salt, Jared Hartsock, Ruth Gill, Daniel Smyth, Jonathon Kirk, Kristien Verhoeven
Patients undergoing cochlear implantation could benefit from a simultaneous application of drugs into the ear, helping preserve residual low-frequency hearing and afferent nerve fiber populations. One way to apply drugs is to incorporate a cannula into the implant, through which drug solution is driven. For such an approach, perilymph concentrations achieved and the distribution in the ear over time have not previously been documented. We used FITC-labeled dextran as a marker, delivering it into perilymph of guinea pigs at 10 or 100 nL/min though a cannula incorporated into a cochlear implant with the outlet in the mid basal turn...
2017: PloS One
https://www.readbyqxmd.com/read/28817636/uncovering-robust-patterns-of-microrna-co-expression-across-cancers-using-bayesian-relevance-networks
#12
Parameswaran Ramachandran, Daniel Sánchez-Taltavull, Theodore J Perkins
Co-expression networks have long been used as a tool for investigating the molecular circuitry governing biological systems. However, most algorithms for constructing co-expression networks were developed in the microarray era, before high-throughput sequencing-with its unique statistical properties-became the norm for expression measurement. Here we develop Bayesian Relevance Networks, an algorithm that uses Bayesian reasoning about expression levels to account for the differing levels of uncertainty in expression measurements between highly- and lowly-expressed entities, and between samples with different sequencing depths...
2017: PloS One
https://www.readbyqxmd.com/read/28817631/a-computational-model-for-biosonar-echoes-from-foliage
#13
Chen Ming, Anupam Kumar Gupta, Ruijin Lu, Hongxiao Zhu, Rolf Müller
Since many bat species thrive in densely vegetated habitats, echoes from foliage are likely to be of prime importance to the animals' sensory ecology, be it as clutter that masks prey echoes or as sources of information about the environment. To better understand the characteristics of foliage echoes, a new model for the process that generates these signals has been developed. This model takes leaf size and orientation into account by representing the leaves as circular disks of varying diameter. The two added leaf parameters are of potential importance to the sensory ecology of bats, e...
2017: PloS One
https://www.readbyqxmd.com/read/28817621/re-evaluation-of-the-cost-effectiveness-and-effects-of-childhood-rotavirus-vaccination-in-norway
#14
Christina Hansen Edwards, Birgitte Freiesleben de Blasio, Beatriz Valcárcel Salamanca, Elmira Flem
BACKGROUND: Rotavirus vaccination was included into the Norwegian childhood immunisation programme in 2014. Before implementation, rotavirus vaccination was found to be cost-effective from a societal perspective, but not from a healthcare perspective. Since introduction, new data on the incidence and economic effects of rotavirus disease have become available. We assessed early epidemiological effects of the rotavirus vaccination programme and re-evaluated its cost-effectiveness in Norway for the years 2015-2019...
2017: PloS One
https://www.readbyqxmd.com/read/28817608/data-driven-coarse-graining-of-large-biomolecular-structures
#15
Yi-Ling Chen, Michael Habeck
Advances in experimental and computational techniques allow us to study the structure and dynamics of large biomolecular assemblies at increasingly higher resolution. However, with increasing structural detail it can be challenging to unravel the mechanism underlying the function of molecular machines. One reason is that atomistic simulations become computationally prohibitive. Moreover it is difficult to rationalize the functional mechanism of systems composed of tens of thousands to millions of atoms by following each atom's movements...
2017: PloS One
https://www.readbyqxmd.com/read/28817607/computer-aided-position-planning-of-miniplates-to-treat-facial-bone-defects
#16
Jan Egger, Jürgen Wallner, Markus Gall, Xiaojun Chen, Katja Schwenzer-Zimmerer, Knut Reinbacher, Dieter Schmalstieg
In this contribution, a software system for computer-aided position planning of miniplates to treat facial bone defects is proposed. The intra-operatively used bone plates have to be passively adapted on the underlying bone contours for adequate bone fragment stabilization. However, this procedure can lead to frequent intra-operatively performed material readjustments especially in complex surgical cases. Our approach is able to fit a selection of common implant models on the surgeon's desired position in a 3D computer model...
2017: PloS One
https://www.readbyqxmd.com/read/28817595/predictive-factors-of-the-dimensions-and-location-of-mental-foramen-using-cone-beam-computed-tomography
#17
Juan Muinelo-Lorenzo, Ana Fernández-Alonso, Ernesto Smyth-Chamosa, Juan Antonio Suárez-Quintanilla, Jesús Varela-Mallou, María Mercedes Suárez-Cunqueiro
OBJECTIVE: The mental foramen (MF) hosts main neurovascular structures, making it of crucial importance for surgical procedures. This study aimed to analyze the factors influencing the dimensions and location of the MF. MATERIALS AND METHODS: Cone beam computed tomography (CBCT) scans of 344 patients were examined for MF dimensions, as well as for the distances from the MF to the alveolar crest (MF-MSB), and to the inferior mandibular border (MF-MIB). RESULTS: Gender, mandibular side and presence of accessory mental foramina (AMF) significantly influence MF area...
2017: PloS One
https://www.readbyqxmd.com/read/28817592/using-k-dependence-causal-forest-to-mine-the-most-significant-dependency-relationships-among-clinical-variables-for-thyroid-disease-diagnosis
#18
LiMin Wang, FangYuan Cao, ShuangCheng Wang, MingHui Sun, LiYan Dong
Numerous data mining models have been proposed to construct computer-aided medical expert systems. Bayesian network classifiers (BNCs) are more distinct and understandable than other models. To graphically describe the dependency relationships among clinical variables for thyroid disease diagnosis and ensure the rationality of the diagnosis results, the proposed k-dependence causal forest (KCF) model generates a series of submodels in the framework of maximum spanning tree (MST) and demonstrates stronger dependence representation...
2017: PloS One
https://www.readbyqxmd.com/read/28817585/selecting-targets-for-the-diagnosis-of-schistosoma-mansoni-infection-an-integrative-approach-using-multi-omic-and-immunoinformatics-data
#19
Gardenia B F Carvalho, Daniela M Resende, Liliane M V Siqueira, Marcelo D Lopes, Débora O Lopes, Paulo Marcos Z Coelho, Andréa Teixeira-Carvalho, Jeronimo C Ruiz, Cristina T Fonseca
In order to effectively control and monitor schistosomiasis, new diagnostic methods are essential. Taking advantage of computational approaches provided by immunoinformatics and considering the availability of Schistosoma mansoni predicted proteome information, candidate antigens of schistosomiasis were selected and used in immunodiagnosis tests based on Enzime-linked Immunosorbent Assay (ELISA). The computational selection strategy was based on signal peptide prediction; low similarity to human proteins; B- and T-cell epitope prediction; location and expression in different parasite life stages within definitive host...
2017: PloS One
https://www.readbyqxmd.com/read/28817580/criticality-predicts-maximum-irregularity-in-recurrent-networks-of-excitatory-nodes
#20
Yahya Karimipanah, Zhengyu Ma, Ralf Wessel
A rigorous understanding of brain dynamics and function requires a conceptual bridge between multiple levels of organization, including neural spiking and network-level population activity. Mounting evidence suggests that neural networks of cerebral cortex operate at a critical regime, which is defined as a transition point between two phases of short lasting and chaotic activity. However, despite the fact that criticality brings about certain functional advantages for information processing, its supporting evidence is still far from conclusive, as it has been mostly based on power law scaling of size and durations of cascades of activity...
2017: PloS One
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