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https://www.readbyqxmd.com/read/28629337/validity-and-reliability-of-electroacoustic-probe-for-diagnosis-of-developmental-dysplasia-of-the-hip
#1
Nicolas Padilla-Raygoza, Georgina Olvera-Villanueva, Silvia Del Carmen Delgado-Sandoval, Teodoro Cordova-Fraga, Modesto Antonio Sosa-Aquino, Vicente Beltran-Campos
BACKGROUND: Sound transmission is used in the diagnosis of hip dysplasia since the end of the 80's. Aim of this study is to quantify the validity and reliability of electroacoustic probe for the diagnosis of hip dysplasia in neonates. METHODS: Diagnostic study included neonates aged 4-28 days, whose parents signed an informed consent. The probe was used three times for comparative sound transmission and with extension/flexion; hip ultrasound was performed with Graf technique as gold standard...
June 19, 2017: BMC Pediatrics
https://www.readbyqxmd.com/read/28600905/omics-data-complementarity-underlines-functional-cross-communication-in-yeast
#2
Noël Malod-Dognin, Nataša Pržulj
Mapping the complete functional layout of a cell and understanding the cross-talk between different processes are fundamental challenges. They elude us because of the incompleteness and noisiness of molecular data and because of the computational intractability of finding the exact answer. We perform a simple integration of three types of baker's yeast omics data to elucidate the functional organization and lines of cross-functional communication. We examine protein-protein interaction (PPI), co-expression (COEX) and genetic interaction (GI) data, and explore their relationship with the gold standard of functional organization, the Gene Ontology (GO)...
June 10, 2017: Journal of Integrative Bioinformatics
https://www.readbyqxmd.com/read/28589853/n-of-1-pathways-mixenrich-advancing-precision-medicine-via-single-subject-analysis-in-discovering-dynamic-changes-of-transcriptomes
#3
Qike Li, A Grant Schissler, Vincent Gardeux, Ikbel Achour, Colleen Kenost, Joanne Berghout, Haiquan Li, Hao Helen Zhang, Yves A Lussier
BACKGROUND: Transcriptome analytic tools are commonly used across patient cohorts to develop drugs and predict clinical outcomes. However, as precision medicine pursues more accurate and individualized treatment decisions, these methods are not designed to address single-patient transcriptome analyses. We previously developed and validated the N-of-1-pathways framework using two methods, Wilcoxon and Mahalanobis Distance (MD), for personal transcriptome analysis derived from a pair of samples of a single patient...
May 24, 2017: BMC Medical Genomics
https://www.readbyqxmd.com/read/28586407/a-bayesian-hierarchical-model-for-network-meta-analysis-of-multiple-diagnostic-tests
#4
Xiaoye Ma, Qinshu Lian, Haitao Chu, Joseph G Ibrahim, Yong Chen
To compare the accuracy of multiple diagnostic tests in a single study, three designs are commonly used (i) the multiple test comparison design; (ii) the randomized design, and (iii) the non-comparative design. Existing meta-analysis methods of diagnostic tests (MA-DT) have been focused on evaluating the performance of a single test by comparing it with a reference test. The increasing number of available diagnostic instruments for a disease condition and the different study designs being used have generated the need to develop efficient and flexible meta-analysis framework to combine all designs for simultaneous inference...
June 6, 2017: Biostatistics
https://www.readbyqxmd.com/read/28554319/cyclometalated-complexes-of-platinum-and-gold-with-biological-properties-state-of-the-art-and-future-perspectives
#5
Sophie Jürgens, Fritz E Kühn, Angela Casini
BACKGROUND: The inherent problems accompanying chemotherapy necessitate the development of new anticancer approaches. The development of compounds that can disrupt cancerous cellular machinery by novel mechanisms, via interactions with proteins and non-canonical DNA structures (e.g. G-quadruplexes), as well as by alteration of the intracellular redox balance, is nowadays focus of intense research. In this context organometallic compounds of the noble metals Pt and Au have become prominent experimental therapeutic agents...
May 29, 2017: Current Medicinal Chemistry
https://www.readbyqxmd.com/read/28549410/large-scale-tissue-histopathology-image-classification-segmentation-and-visualization-via-deep-convolutional-activation-features
#6
Yan Xu, Zhipeng Jia, Liang-Bo Wang, Yuqing Ai, Fang Zhang, Maode Lai, Eric I-Chao Chang
BACKGROUND: Histopathology image analysis is a gold standard for cancer recognition and diagnosis. Automatic analysis of histopathology images can help pathologists diagnose tumor and cancer subtypes, alleviating the workload of pathologists. There are two basic types of tasks in digital histopathology image analysis: image classification and image segmentation. Typical problems with histopathology images that hamper automatic analysis include complex clinical representations, limited quantities of training images in a dataset, and the extremely large size of singular images (usually up to gigapixels)...
May 26, 2017: BMC Bioinformatics
https://www.readbyqxmd.com/read/28501033/the-portuguese-version-of-the-european-deprivation-index-an-instrument-to-study-health-inequalities
#7
Ana Isabel Ribeiro, Alexandra Mayer, Ana Miranda, Maria Fátima Pina
INTRODUCTION: Tackling socioeconomic health inequalities is a big public health challenge and ecological deprivation indexes are essential instruments to monitor and understand them. In Portugal, no standard ecological deprivation index exists, contrasting with other countries. We aimed to describe the construction of the Portuguese version of a transnational deprivation index, European Deprivation Index. MATERIAL AND METHODS: The European Deprivation Index was developed under the Townsend theorization of deprivation...
January 31, 2017: Acta Médica Portuguesa
https://www.readbyqxmd.com/read/28500478/effect-of-stenosis-eccentricity-on-the-functionality-of-coronary-bifurcation-lesions-a-numerical-study
#8
Catherine Pagiatakis, Jean-Claude Tardif, Philippe L L'Allier, Rosaire Mongrain
Interventional cardiologists still rely heavily on angiography for the evaluation of coronary lesion severity, despite its poor correlation with the presence of ischemia. In order to improve the accuracy of the current diagnostic procedures, an understanding of the relative influence of geometric characteristics on the induction of ischemia is required. This idea is especially important for coronary bifurcation lesions (CBLs), whose treatment is complex and is associated with high rates of peri- and post-procedural clinical events...
May 13, 2017: Medical & Biological Engineering & Computing
https://www.readbyqxmd.com/read/28499990/a-state-space-and-density-estimation-framework-for-sleep-staging-in-obstructive-sleep-apnea
#9
Dae Y Kang, Pamela N DeYoung, Atul Malhotra, Robert L Owens, Todd P Coleman
OBJECTIVE: Although the importance of sleep is increasingly recognized, the lack of robust and efficient algorithms hinders scalable sleep assessment in healthy persons and those with sleep disorders. Polysomnography (PSG) and visual/manual scoring remain the gold standard in sleep evaluation, but more efficient/automated systems are needed. Most previous works have demonstrated algorithms in high agreement with the gold standard in healthy/normal (HN) individuals - not those with sleep disorders...
May 8, 2017: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/28495008/a-fully-automatic-approach-for-multimodal-pet-and-mr-image-segmentation-in-gamma-knife-treatment-planning
#10
Leonardo Rundo, Alessandro Stefano, Carmelo Militello, Giorgio Russo, Maria Gabriella Sabini, Corrado D'Arrigo, Francesco Marletta, Massimo Ippolito, Giancarlo Mauri, Salvatore Vitabile, Maria Carla Gilardi
BACKGROUND AND OBJECTIVES: Nowadays, clinical practice in Gamma Knife treatments is generally based on MRI anatomical information alone. However, the joint use of MRI and PET images can be useful for considering both anatomical and metabolic information about the lesion to be treated. In this paper we present a co-segmentation method to integrate the segmented Biological Target Volume (BTV), using [(11)C]-Methionine-PET (MET-PET) images, and the segmented Gross Target Volume (GTV), on the respective co-registered MR images...
June 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28486413/hospitalizations-in-pediatric-and-adult-patients-for-all-cancer-type-in-italy-the-epikit-study-under-the-e-u-coheirs-project-on-environment-and-health
#11
Prisco Piscitelli, Immacolata Marino, Andrea Falco, Matteo Rivezzi, Roberto Romano, Restituta Mazzella, Cosimo Neglia, Giulia Della Rosa, Giuseppe Pellerano, Giuseppe Militerno, Adriana Bonifacino, Gaetano Rivezzi, Roberto Romizi, Giuseppe Miserotti, Maurizio Montella, Fabrizio Bianchi, Alessandra Marinelli, Antonella De Donno, Giovanni De Filippis, Giuseppe Serravezza, Gianluca Di Tanna, Dennis Black, Valerio Gennaro, Mario Ascolese, Alessandro Distante, Ernesto Burgio, Massimo Crespi, Annamaria Colao
Background: Cancer Registries (CRs) remain the gold standard for providing official epidemiological estimations. However, due to CRs' partial population coverage, hospitalization records might represent a valuable tool to provide additional information on cancer occurrence and expenditures at national/regional level for research purposes. The Epidemiology of Cancer in Italy (EPIKIT) study group has been built up, within the framework of the Civic Observers for Health and Environment: Initiative of Responsibility and Sustainability (COHEIRS) project under the auspices of the Europe for Citizens Program, to assess population health indicators...
May 9, 2017: International Journal of Environmental Research and Public Health
https://www.readbyqxmd.com/read/28469385/unified-least-squares-methods-for-the-evaluation-of-diagnostic-tests-with-the-gold-standard
#12
REVIEW
Liansheng Larry Tang, Ao Yuan, John Collins, Xuan Che, Leighton Chan
The article proposes a unified least squares method to estimate the receiver operating characteristic (ROC) parameters for continuous and ordinal diagnostic tests, such as cancer biomarkers. The method is based on a linear model framework using the empirically estimated sensitivities and specificities as input "data." It gives consistent estimates for regression and accuracy parameters when the underlying continuous test results are normally distributed after some monotonic transformation. The key difference between the proposed method and the method of Tang and Zhou lies in the response variable...
2017: Cancer Informatics
https://www.readbyqxmd.com/read/28456512/inter-labeler-and-intra-labeler-variability-of-condition-severity-classification-models-using-active-and-passive-learning-methods
#13
Nir Nissim, Yuval Shahar, Yuval Elovici, George Hripcsak, Robert Moskovitch
BACKGROUND AND OBJECTIVES: Labeling instances by domain experts for classification is often time consuming and expensive. To reduce such labeling efforts, we had proposed the application of active learning (AL) methods, introduced our CAESAR-ALE framework for classifying the severity of clinical conditions, and shown its significant reduction of labeling efforts. The use of any of three AL methods (one well known [SVM-Margin], and two that we introduced [Exploitation and Combination_XA]) significantly reduced (by 48% to 64%) condition labeling efforts, compared to standard passive (random instance-selection) SVM learning...
April 26, 2017: Artificial Intelligence in Medicine
https://www.readbyqxmd.com/read/28455232/bayesian-randomized-clinical-trials-from-fixed-to-adaptive-design
#14
REVIEW
Guosheng Yin, Chi Kin Lam, Haolun Shi
Randomized controlled studies are the gold standard for phase III clinical trials. Using α-spending functions to control the overall type I error rate, group sequential methods are well established and have been dominating phase III studies. Bayesian randomized design, on the other hand, can be viewed as a complement instead of competitive approach to the frequentist methods. For the fixed Bayesian design, the hypothesis testing can be cast in the posterior probability or Bayes factor framework, which has a direct link to the frequentist type I error rate...
April 26, 2017: Contemporary Clinical Trials
https://www.readbyqxmd.com/read/28445548/assessing-the-severity-of-sleep-apnea-syndrome-based-on-ballistocardiogram
#15
Zhu Wang, Xingshe Zhou, Weichao Zhao, Fan Liu, Hongbo Ni, Zhiwen Yu
BACKGROUND: Sleep Apnea Syndrome (SAS) is a common sleep-related breathing disorder, which affects about 4-7% males and 2-4% females all around the world. Different approaches have been adopted to diagnose SAS and measure its severity, including the gold standard Polysomnography (PSG) in sleep study field as well as several alternative techniques such as single-channel ECG, pulse oximeter and so on. However, many shortcomings still limit their generalization in home environment. In this study, we aim to propose an efficient approach to automatically assess the severity of sleep apnea syndrome based on the ballistocardiogram (BCG) signal, which is non-intrusive and suitable for in home environment...
2017: PloS One
https://www.readbyqxmd.com/read/28443022/evaluating-quality-of-decision-making-processes-in-medicines-development-regulatory-review-and-health-technology-assessment-a-systematic-review-of-the-literature
#16
REVIEW
Magdalena Bujar, Neil McAuslane, Stuart R Walker, Sam Salek
Introduction: Although pharmaceutical companies, regulatory authorities, and health technology assessment (HTA) agencies have been increasingly using decision-making frameworks, it is not certain whether these enable better quality decision making. This could be addressed by formally evaluating the quality of decision-making process within those organizations. The aim of this literature review was to identify current techniques (tools, questionnaires, surveys, and studies) for measuring the quality of the decision-making process across the three stakeholders...
2017: Frontiers in Pharmacology
https://www.readbyqxmd.com/read/28411458/transformation-diffusion-reconstruction-of-three-dimensional-histology-volumes-from-two-dimensional-image-stacks
#17
Ramón Casero, Urszula Siedlecka, Elizabeth S Jones, Lena Gruscheski, Matthew Gibb, Jürgen E Schneider, Peter Kohl, Vicente Grau
Traditional histology is the gold standard for tissue studies, but it is intrinsically reliant on two-dimensional (2D) images. Study of volumetric tissue samples such as whole hearts produces a stack of misaligned and distorted 2D images that need to be reconstructed to recover a congruent volume with the original sample's shape. In this paper, we develop a mathematical framework called Transformation Diffusion (TD) for stack alignment refinement as a solution to the heat diffusion equation. This general framework does not require contour segmentation, is independent of the registration method used, and is trivially parallelizable...
May 2017: Medical Image Analysis
https://www.readbyqxmd.com/read/28386067/evaluation-of-direct-haptic-4d-volume-rendering-of-partially-segmented-data-for-liver-puncture-simulation
#18
Andre Mastmeyer, Dirk Fortmeier, Heinz Handels
This work presents an evaluation study using a force feedback evaluation framework for a novel direct needle force volume rendering concept in the context of liver puncture simulation. PTC/PTCD puncture interventions targeting the bile ducts have been selected to illustrate this concept. The haptic algorithms of the simulator system are based on (1) partially segmented patient image data and (2) a non-linear spring model effective at organ borders. The primary aim is to quantitatively evaluate force errors caused by our patient modeling approach, in comparison to haptic force output obtained from using gold-standard, completely manually-segmented data...
April 6, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28385690/what-is-the-impact-of-a-research-publication
#19
Seena Fazel, Achim Wolf
An increasing number of metrics are used to measure the impact of research papers. Despite being the most commonly used, the 2-year impact factor is limited by a lack of generalisability and comparability, in part due to substantial variation within and between fields. Similar limitations apply to metrics such as citations per paper. New approaches compare a paper's citation count to others in the research area, while others measure social and traditional media impact. However, none of these measures take into account an individual author's contribution to the paper or the number of authors, which we argue are key limitations...
April 6, 2017: Evidence-based Mental Health
https://www.readbyqxmd.com/read/28384795/child-and-adolescent-health-from-1990-to-2015-findings-from-the-global-burden-of-diseases-injuries-and-risk-factors-2015-study
#20
Nicholas Kassebaum, Hmwe Hmwe Kyu, Leo Zoeckler, Helen Elizabeth Olsen, Katie Thomas, Christine Pinho, Zulfiqar A Bhutta, Lalit Dandona, Alize Ferrari, Tsegaye Tewelde Ghiwot, Simon I Hay, Yohannes Kinfu, Xiaofeng Liang, Alan Lopez, Deborah Carvalho Malta, Ali H Mokdad, Mohsen Naghavi, George C Patton, Joshua Salomon, Benn Sartorius, Roman Topor-Madry, Stein Emil Vollset, Andrea Werdecker, Harvey A Whiteford, Kalkidan Hasen Abate, Kaja Abbas, Solomon Abrha Damtew, Muktar Beshir Ahmed, Nadia Akseer, Rajaa Al-Raddadi, Mulubirhan Assefa Alemayohu, Khalid Altirkawi, Amanuel Alemu Abajobir, Azmeraw T Amare, Carl A T Antonio, Johan Arnlov, Al Artaman, Hamid Asayesh, Euripide Frinel G Arthur Avokpaho, Ashish Awasthi, Beatriz Paulina Ayala Quintanilla, Umar Bacha, Balem Demtsu Betsu, Aleksandra Barac, Till Winfried Bärnighausen, Estifanos Baye, Neeraj Bedi, Isabela M Bensenor, Adugnaw Berhane, Eduardo Bernabe, Oscar Alberto Bernal, Addisu Shunu Beyene, Sibhatu Biadgilign, Boris Bikbov, Cheryl Anne Boyce, Alexandra Brazinova, Gessessew Bugssa Hailu, Austin Carter, Carlos A Castañeda-Orjuela, Ferrán Catalá-López, Fiona J Charlson, Abdulaal A Chitheer, Jee-Young Jasmine Choi, Liliana G Ciobanu, John Crump, Rakhi Dandona, Robert P Dellavalle, Amare Deribew, Gabrielle deVeber, Daniel Dicker, Eric L Ding, Manisha Dubey, Amanuel Yesuf Endries, Holly E Erskine, Emerito Jose Aquino Faraon, Andre Faro, Farshad Farzadfar, Joao C Fernandes, Daniel Obadare Fijabi, Christina Fitzmaurice, Thomas D Fleming, Luisa Sorio Flor, Kyle J Foreman, Richard C Franklin, Maya S Fraser, Joseph J Frostad, Nancy Fullman, Gebremedhin Berhe Gebregergs, Alemseged Aregay Gebru, Johanna M Geleijnse, Katherine B Gibney, Mahari Gidey Yihdego, Ibrahim Abdelmageem Mohamed Ginawi, Melkamu Dedefo Gishu, Tessema Assefa Gizachew, Elizabeth Glaser, Audra L Gold, Ellen Goldberg, Philimon Gona, Atsushi Goto, Harish Chander Gugnani, Guohong Jiang, Rajeev Gupta, Fisaha Haile Tesfay, Graeme J Hankey, Rasmus Havmoeller, Martha Hijar, Masako Horino, H Dean Hosgood, Guoqing Hu, Kathryn H Jacobsen, Mihajlo B Jakovljevic, Sudha P Jayaraman, Vivekanand Jha, Tariku Jibat, Catherine O Johnson, Jost Jonas, Amir Kasaeian, Norito Kawakami, Peter N Keiyoro, Ibrahim Khalil, Young-Ho Khang, Jagdish Khubchandani, Aliasghar A Ahmad Kiadaliri, Christian Kieling, Daniel Kim, Niranjan Kissoon, Luke D Knibbs, Ai Koyanagi, Kristopher J Krohn, Barthelemy Kuate Defo, Burcu Kucuk Bicer, Rachel Kulikoff, G Anil Kumar, Dharmesh Kumar Lal, Hilton Y Lam, Heidi J Larson, Anders Larsson, Dennis Odai Laryea, Janni Leung, Stephen S Lim, Loon-Tzian Lo, Warren D Lo, Katharine J Looker, Paulo A Lotufo, Hassan Magdy Abd El Razek, Reza Malekzadeh, Desalegn Markos Shifti, Mohsen Mazidi, Peter A Meaney, Kidanu Gebremariam Meles, Peter Memiah, Walter Mendoza, Mubarek Abera Mengistie, Gebremichael Welday Mengistu, George A Mensah, Ted R Miller, Charles Mock, Alireza Mohammadi, Shafiu Mohammed, Lorenzo Monasta, Ulrich Mueller, Chie Nagata, Aliya Naheed, Grant Nguyen, Quyen Le Nguyen, Elaine Nsoesie, In-Hwan Oh, Anselm Okoro, Jacob Olusegun Olusanya, Bolajoko O Olusanya, Alberto Ortiz, Deepak Paudel, David M Pereira, Norberto Perico, Max Petzold, Michael Robert Phillips, Guilherme V Polanczyk, Farshad Pourmalek, Mostafa Qorbani, Anwar Rafay, Vafa Rahimi-Movaghar, Mahfuzar Rahman, Rajesh Kumar Rai, Usha Ram, Zane Rankin, Giuseppe Remuzzi, Andre M N Renzaho, Hirbo Shore Roba, David Rojas-Rueda, Luca Ronfani, Rajesh Sagar, Juan Ramon Sanabria, Muktar Sano Kedir Mohammed, Itamar S Santos, Maheswar Satpathy, Monika Sawhney, Ben Schöttker, David C Schwebel, James G Scott, Sadaf G Sepanlou, Amira Shaheen, Masood Ali Shaikh, June She, Rahman Shiri, Ivy Shiue, Inga Dora Sigfusdottir, Jasvinder Singh, Naris Silpakit, Alison Smith, Chandrashekhar Sreeramareddy, Jeffrey D Stanaway, Dan J Stein, Caitlyn Steiner, Muawiyyah Babale Sufiyan, Soumya Swaminathan, Rafael Tabarés-Seisdedos, Karen M Tabb, Fentaw Tadese, Mohammad Tavakkoli, Bineyam Taye, Stephanie Teeple, Teketo Kassaw Tegegne, Girma Temam Shifa, Abdullah Sulieman Terkawi, Bernadette Thomas, Alan J Thomson, Ruoyan Tobe-Gai, Marcello Tonelli, Bach Xuan Tran, Christopher Troeger, Kingsley N Ukwaja, Olalekan Uthman, Tommi Vasankari, Narayanaswamy Venketasubramanian, Vasiliy Victorovich Vlassov, Elisabete Weiderpass, Robert Weintraub, Solomon Weldemariam Gebrehiwot, Ronny Westerman, Hywel C Williams, Charles D A Wolfe, Rachel Woodbrook, Yuichiro Yano, Naohiro Yonemoto, Seok-Jun Yoon, Mustafa Z Younis, Chuanhua Yu, Maysaa El Sayed Zaki, Elias Asfaw Zegeye, Liesl Joanna Zuhlke, Christopher J L Murray, Theo Vos
Importance: Comprehensive and timely monitoring of disease burden in all age groups, including children and adolescents, is essential for improving population health. Objective: To quantify and describe levels and trends of mortality and nonfatal health outcomes among children and adolescents from 1990 to 2015 to provide a framework for policy discussion. Evidence Review: Cause-specific mortality and nonfatal health outcomes were analyzed for 195 countries and territories by age group, sex, and year from 1990 to 2015 using standardized approaches for data processing and statistical modeling, with subsequent analysis of the findings to describe levels and trends across geography and time among children and adolescents 19 years or younger...
June 1, 2017: JAMA Pediatrics
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