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https://www.readbyqxmd.com/read/28097247/the-management-of-scoliosis-in-children-with-cerebral-palsy-a-review
#1
REVIEW
Thomas Cloake, Adrian Gardner
Children who suffer with cerebral palsy (CP) have a significant chance of developing scoliosis during their early years and adolescence. The behavior of this scoliosis is closely associated with the severity of the CP disability and unlike idiopathic scoliosis, it continues to progress beyond skeletal maturity. Conservative measures may slow the progression of the curve, however, surgery remains the only definitive management option. Advances in surgical technique over the last 50 years have provided methods to effectively treat the deformity while also reducing complication rates...
December 2016: Journal of Spine Surgery (Hong Kong)
https://www.readbyqxmd.com/read/28096065/patient-specific-predictive-modeling-using-random-forests-an-observational-study-for-the-critically-ill
#2
Joon Lee
BACKGROUND: With a large-scale electronic health record repository, it is feasible to build a customized patient outcome prediction model specifically for a given patient. This approach involves identifying past patients who are similar to the present patient and using their data to train a personalized predictive model. Our previous work investigated a cosine-similarity patient similarity metric (PSM) for such patient-specific predictive modeling. OBJECTIVE: The objective of the study is to investigate the random forest (RF) proximity measure as a PSM in the context of personalized mortality prediction for intensive care unit (ICU) patients...
January 17, 2017: JMIR Medical Informatics
https://www.readbyqxmd.com/read/28094850/discriminating-solitary-cysts-from-soft-tissue-lesions-in-mammography-using-a-pretrained-deep-convolutional-neural-network
#3
Thijs Kooi, Bram van Ginneken, Nico Karssemeijer, Ard den Heeten
PURPOSE: It is estimated that 7% of women in the western world will develop palpable breast cysts in their lifetime. Even though cysts have been correlated with risk of developing breast cancer, many of them are benign and do not require follow-up. We develop a method to discriminate benign solitary cysts from malignant masses in digital mammography. We think a system like this can have merit in the clinic as a decision aid or complementary to specialised modalities. METHODS: We employ a deep Convolutional Neural Network (CNN) to classify cyst and mass patches...
January 17, 2017: Medical Physics
https://www.readbyqxmd.com/read/28093726/a-preoperative-and-intraoperative-scoring-system-to-predict-nodal-metastasis-in-endometrial-cancer
#4
Andressa M S Teixeira, Reitan Ribeiro, Kathleen M Schmeler, Thomas J Herzog, Sergio M Nicolau, Renato M Marques
OBJECTIVE: To develop a scoring system that guides surgical decision-making regarding the need to perform lymphadenectomy. METHODS: A retrospective study was performed of patients who underwent complete surgical staging of endometrial cancer between 2003 and 2014 at three centers in Brazil. Preoperative and intraoperative risk factors were used to develop a scoring system to predict lymph node metastasis. RESULTS: Among 329 patients included, 71 (21...
January 17, 2017: International Journal of Gynaecology and Obstetrics
https://www.readbyqxmd.com/read/28090793/development-and-validation-of-a-predictor-of-insufficient-enhancement-during-the-hepatobiliary-phase-of-gd-eob-dtpa-enhanced-magnetic-resonance-imaging
#5
Enming Cui, Wansheng Long, Liangping Luo, Maoqing Hu, Liebin Huang, Xiangmeng Chen
Background Insufficient enhancement of liver parenchyma negatively affects diagnostic accuracy of Gd-EOB-DTPA-enhanced magnetic resonance imaging (MRI). Currently, there is no reliable method for predicting insufficient enhancement during the hepatobiliary phase (HBP) in Gd-EOB-DTPA-enhanced MRI. Purpose To develop a predictor for insufficient enhancement of liver parenchyma during HBP in Gd-EOB-DTPA-enhanced MRI. Material and Methods In order to formulate a HBP enhancement test (HBP-ET), clinical factors associated with relative enhancement ratio (RER) of liver parenchyma were retrospectively determined from the datasets of 156 patients (Development group) who underwent Gd-EOB-DTPA-enhanced MRI between November 2012 and May 2015...
January 1, 2017: Acta Radiologica
https://www.readbyqxmd.com/read/28088304/mechanical-biomarkers-of-medial-compartment-knee-osteoarthritis-diagnosis-and-severity-grading-discovery-phase
#6
Neila Mezghani, Youssef Ouakrim, Alexandre Fuentes, Amar Mitiche, Nicola Hagemeister, Pascal-André Vendittoli, Jacques A de Guise
OBJECTIVE: To investigate, as a discovery phase, if 3D knee kinematics assessment parameters can serve as mechanical biomarkers, more specifically as diagnostic biomarker and burden of disease biomarkers, as defined in the Burden of Disease, Investigative, Prognostic, Efficacy of Intervention and Diagnostic classification scheme for osteoarthritis (OA) (Altman et al., 1986). These biomarkers consist of a set of biomechanical parameters discerned from 3D knee kinematic patterns, namely, flexion/extension, abduction/adduction, and tibial internal/external rotation measurements, during gait recording...
December 29, 2016: Journal of Biomechanics
https://www.readbyqxmd.com/read/28079633/criterion-referenced-values-of-grip-strength-and-usual-gait-speed-using-instrumental-activities-of-daily-living-disability-as-the-criterion
#7
Meng-Chih Lee, Chih-Cheng Hsu, Yi-Fen Tsai, Ching-Yu Chen, Cheng-Chieh Lin, Ching-Yi Wang
BACKGROUND AND PURPOSE: Current evidence suggests that grip strength and usual gait speed (UGS) are important predictors of instrumental activities of daily living (IADL) disability. Knowing the optimum cut points of these tests for discriminating people with and without IADL disability could help clinicians or researchers to better interpret the test results and make medical decisions. The purpose of this study was to determine the cutoff values of grip strength and UGS for best discriminating community-dwelling older adults with and without IADL disability, separately for men and women, and to investigate their association with IADL disability...
January 10, 2017: Journal of Geriatric Physical Therapy
https://www.readbyqxmd.com/read/28078571/analyzing-spatial-data-from-mouse-tracker-methodology-an-entropic-approach
#8
Antonio Calcagnì, Luigi Lombardi, Simone Sulpizio
Mouse tracker methodology has recently been advocated to explore the motor components of the cognitive dynamics involved in experimental tasks like categorization, decision-making, and language comprehension. This methodology relies on the analysis of computer-mouse trajectories, by evaluating whether they significantly differ in terms of direction, amplitude, and location when a given experimental factor is manipulated. In this kind of study, a descriptive geometric approach is usually adopted in the analysis of raw trajectories, where they are summarized with several measures, such as maximum-deviation and area under the curve...
January 11, 2017: Behavior Research Methods
https://www.readbyqxmd.com/read/28077786/nomogram-analysis-and-external-validation-to-predict-the-risk-of-lymph-node-metastasis-in-gastric-cancer
#9
Shi Chen, Run-Cong Nie, Li-Ying OuYang, Yuan-Fang Li, Jun Xiang, Zhi-Wei Zhou, YingBo Chen, Jun-Sheng Peng
AIM: To identify risk factors for lymph node metastasis using a nomogram for gastric cancer patients to predict lymph node metastasis. RESULTS: The Chi-square test and the logistic regression showed that the Boarrmann type, preoperative CA199 level, T stage and N stage by CT scan were independent risk factors. The concordance index (C-index) was 0.786 in the internal validation of the Nomogram model. In the external validation, the C-index was 0.809, and the AUC was 0...
January 6, 2017: Oncotarget
https://www.readbyqxmd.com/read/28073849/caregivers-of-patients-with-left-ventricular-assist-devices-possible-impacts-on-patients-mortality-and-interagency-registry-for-mechanically-assisted-circulatory-support-defined-morbidity-events
#10
Courtenay R Bruce, Charles G Minard, L A Wilhelms, Mackenzie Abraham, Javier Amione-Guerra, Linda Pham, Sherry D Grogan, Barry Trachtenberg, Martin L Smith, Brian A Bruckner, Jerry D Estep, Kristin M Kostick
BACKGROUND: How caregivers contribute to positive or negative outcomes for left ventricular assist device (LVAD) patients remains unclear. Our primary study objectives were to (1) identify caregiver support attributes through a retrospective chart review of social workers' psychosocial assessments for LVAD patients and (2) determine how these attributes associated with patients' post-LVAD placement mortality and Interagency Registry for Mechanically Assisted Circulatory Support-defined morbidity events...
January 2017: Circulation. Cardiovascular Quality and Outcomes
https://www.readbyqxmd.com/read/28072631/terbutaline-accumulates-in-blood-and-urine-following-daily-therapeutic-inhalation
#11
Nanna Krogh, Sebastian Rzeppa, Anders Dyreborg, Yvette Dehnes, Peter Hemmersbach, Vibeke Backer, Morten Hostrup
PURPOSE: This study investigated pharmacokinetics of terbutaline after single and seven consecutive days of inhalation in exercising trained men. METHODS: Twelve healthy young trained men underwent two pharmacokinetic trials comparing single dose (2 mg) and seven consecutive days (2 mg×d) of inhaled terbutaline. After inhalation of terbutaline at each trial, subjects performed 90 min of bike ergometer exercise at 65% of maximal oxygen consumption after which they stayed inactive...
January 9, 2017: Medicine and Science in Sports and Exercise
https://www.readbyqxmd.com/read/28071987/a-computer-aided-diagnosis-system-using-artificial-intelligence-for-the-diagnosis-and-characterization-of-thyroid-nodules-on-ultrasound-initial-clinical-assessment
#12
Young Jun Choi, Jung Hwan Baek, Hye Sun Park, Woo Hyun Shim, Tae Yong Kim, YoungKee Shong, Jeong Hyun Lee
Background We describe an initial clinical assessment of a new, commercially available, computer-aided diagnosis (CAD) system using artificial intelligence (AI) for thyroid ultrasound, and evaluate its performance in the diagnosis of malignant thyroid nodules and categorization of nodule characteristics. Methods This prospective study protocol was reviewed and approved by the institutional review board. Patients with thyroid nodules with decisive diagnosis, whether benign or malignant on the basis of cytopathologic or US results, were consecutively enrolled from November 2015 to February 2016...
January 10, 2017: Thyroid: Official Journal of the American Thyroid Association
https://www.readbyqxmd.com/read/28069250/the-exposure-response-relationship-between-temperature-and-childhood-hand-foot-and-mouth-disease-a-multicity-study-from-mainland-china
#13
Xiong Xiao, Antonio Gasparrini, Jiao Huang, Qiaohong Liao, Fengfeng Liu, Fei Yin, Hongjie Yu, Xiaosong Li
BACKGROUND: Hand, foot and mouth disease (HFMD) is a rising public health issue in the Asia-Pacific region. Numerous studies have tried to quantify the relationship between meteorological variables and HFMD but with inconsistent results, in particular for temperature. We aimed to characterize the relationship between temperature and HFMD in various locations and to investigate the potential heterogeneity. METHODS: We retrieved the daily series of childhood HFMD counts (aged 0-12 years) and meteorological variables for each of 143 cities in mainland China in the period 2009-2014...
January 6, 2017: Environment International
https://www.readbyqxmd.com/read/28066809/deep-feature-transfer-learning-in-combination-with-traditional-features-predicts-survival-among-patients-with-lung-adenocarcinoma
#14
Rahul Paul, Samuel H Hawkins, Yoganand Balagurunathan, Matthew B Schabath, Robert J Gillies, Lawrence O Hall, Dmitry B Goldgof
Lung cancer is the most common cause of cancer-related deaths in the USA. It can be detected and diagnosed using computed tomography images. For an automated classifier, identifying predictive features from medical images is a key concern. Deep feature extraction using pretrained convolutional neural networks (CNNs) has recently been successfully applied in some image domains. Here, we applied a pretrained CNN to extract deep features from 40 computed tomography images, with contrast, of non-small cell adenocarcinoma lung cancer, and combined deep features with traditional image features and trained classifiers to predict short- and long-term survivors...
December 2016: Tomography: a Journal for Imaging Research
https://www.readbyqxmd.com/read/28066596/a-simple-weighted-scoring-system-to-guide-surgical-decision-making-in-patients-with-parapneumonic-pleural-effusion
#15
Che-Chia Chang, Tzu-Ping Chen, Chi-Hsiao Yeh, Pin-Fu Huang, Yao-Chang Wang, Shun-Ying Yin
BACKGROUND: The selection of ideal candidates for surgical intervention among patients with parapneumonic pleural effusion remains challenging. In this retrospective study, we sought to identify the main predictors of surgical treatment and devise a simple scoring system to guide surgical decision-making. METHOD: Between 2005 and 2014, we identified 276 patients with parapneumonic pleural effusion. Patients in the training set (n=201) were divided into two groups according to their treatment modality (non-surgery vs...
November 2016: Journal of Thoracic Disease
https://www.readbyqxmd.com/read/28062443/a-novel-non-parametric-method-for-uncertainty-evaluation-of-correlation-based-molecular-signatures-its-application-on-pam50-algorithm
#16
Cristóbal Fresno, Germán Alexis González, Gabriela Alejandra Merino, Ana Georgina Flesia, Osvaldo Luis Podhajcer, Andrea Sabina Llera, Elmer Andrés Fernández
MOTIVATION: The PAM50 classifier is used to assign patients to the highest correlated breast cancer subtype irrespectively of the obtained value. Nonetheless, all subtype correlations are required to build the risk of recurrence (ROR) score, currently used in therapeutic decisions. Present subtype uncertainty estimations are not accurate, seldom considered or require a population-based approach for this context. RESULTS: Here we present a novel single-subject non-parametric uncertainty estimation based on PAM50's gene label permutations...
January 6, 2017: Bioinformatics
https://www.readbyqxmd.com/read/28062334/intensity-of-vasopressor-therapy-for-septic-shock-and-the-risk-of-in-hospital-death
#17
Donald A Brand, Patricia A Patrick, Jeffrey T Berger, Mediha Ibrahim, Ajsza Matela, Shweta Upadhyay, Peter Spiegler
CONTEXT: Given the high mortality of 30-60% associated with septic shock, distinguishing which patients do or do not have a reasonable chance of surviving with aggressive treatment could help clinicians and families make informed decisions. OBJECTIVES: To determine if intensity of vasopressor therapy accurately predicts in-hospital death. METHODS: This observational cohort study analyzed in-hospital mortality as a function of intensity of vasopressor therapy in a consecutive series of adults with septic shock treated over a 4-year period...
January 3, 2017: Journal of Pain and Symptom Management
https://www.readbyqxmd.com/read/28061831/acute-kidney-injury-as-an-independent-risk-factor-for-unplanned-90-day-hospital-readmissions
#18
Simon Sawhney, Angharad Marks, Nick Fluck, David J McLernon, Gordon J Prescott, Corri Black
BACKGROUND: Reducing readmissions is an international priority in healthcare. Acute kidney injury (AKI) is common, serious and also a global concern. This analysis evaluates AKI as a candidate risk factor for unplanned readmissions and determines the reasons for readmissions. METHODS: GLOMMS-II is a large population cohort from one health authority in Scotland, combining hospital episode data and complete serial biochemistry results through data-linkage. 16453 people (2623 with AKI and 13830 without AKI) from GLOMMS-II who survived an index hospital admission in 2003 were used to identify the causes of and predict readmissions...
January 6, 2017: BMC Nephrology
https://www.readbyqxmd.com/read/28061006/confirmation-of-promise-a-simple-genomics-based-clinical-classifier-for-endometrial-cancer
#19
Aline Talhouk, Melissa K McConechy, Samuel Leung, Winnie Yang, Amy Lum, Janine Senz, Niki Boyd, Judith Pike, Michael Anglesio, Janice S Kwon, Anthony N Karnezis, David G Huntsman, C Blake Gilks, Jessica N McAlpine
BACKGROUND: Classification of endometrial carcinomas (ECs) by morphologic features is irreproducible and imperfectly reflects tumor biology. The authors developed the Proactive Molecular Risk Classifier for Endometrial Cancer (ProMisE), a molecular classification system based on The Cancer Genome Atlas genomic subgroups, and sought to confirm both feasibility and prognostic ability in a new, large cohort of ECs. METHODS: Immunohistochemistry (IHC) for the presence or absence of mismatch repair (MMR) proteins (to identify MMR deficiency [MMR-D]), sequencing for polymerase-ɛ (POLE) exonuclease domain mutations (POLE EDMs), and IHC for tumor protein 53 (p53) (wild type vs null/missense mutations; p53 wt and p53 abn, respectively) were performed on 319 new EC samples...
January 6, 2017: Cancer
https://www.readbyqxmd.com/read/28060903/a-comparison-of-a-machine-learning-model-with-euroscore-ii-in-predicting-mortality-after-elective-cardiac-surgery-a-decision-curve-analysis
#20
Jérôme Allyn, Nicolas Allou, Pascal Augustin, Ivan Philip, Olivier Martinet, Myriem Belghiti, Sophie Provenchere, Philippe Montravers, Cyril Ferdynus
BACKGROUND: The benefits of cardiac surgery are sometimes difficult to predict and the decision to operate on a given individual is complex. Machine Learning and Decision Curve Analysis (DCA) are recent methods developed to create and evaluate prediction models. METHODS AND FINDING: We conducted a retrospective cohort study using a prospective collected database from December 2005 to December 2012, from a cardiac surgical center at University Hospital. The different models of prediction of mortality in-hospital after elective cardiac surgery, including EuroSCORE II, a logistic regression model and a machine learning model, were compared by ROC and DCA...
2017: PloS One
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