Search results for "Concordance correlation coefficient"

showing 5 items of 5 documents

Validation of two portable bioelectrical impedance analyses for the assessment of body composition in school age children

2017

Background Bioelectrical impedance analysis (BIA) is a convenient and child-friendly method for longitudinal analysis of changes in body composition. However, most validation studies of BIA have been performed on adult Caucasians. The present cross-sectional study investigated the validity of two portable BIA devices, the Inbody 230 (BIA8MF) and the Tanita BC-418 (BIA8SF), in healthy Taiwanese children. Methods Children aged 7–12 years (72 boys and 78 girls) were recruited. Body composition was measured by the BIA8SF and the BIA8MF. Dual X-ray absorptiometry (DXA) was used as the reference method. Results There were strong linear correlations in body composition measurements between the BIA…

MalePediatricsResearch ValidityCross-sectional studylcsh:MedicinePediatricsDiagnostic RadiologyFamilies0302 clinical medicineMathematical and Statistical TechniquesAbsorptiometry PhotonMedicine and Health SciencesElectric ImpedanceMedicine030212 general & internal medicinelcsh:ScienceChildChildrenMusculoskeletal SystemMultidisciplinarySchool age childRadiology and ImagingLimits of agreementResearch AssessmentArmsConcordance correlation coefficientArticle-Level MetricsAdipose TissuePhysical SciencesBody CompositionRegression AnalysisFemaleAnatomyBioelectrical impedance analysisStatistics (Mathematics)Research Articlemedicine.medical_specialtyImaging Techniques030209 endocrinology & metabolismLinear Regression AnalysisResearch and Analysis MethodsFat mass03 medical and health sciencesDiagnostic MedicineLinear regressionHumansAbsorptiometryStatistical MethodsAltmetricsbusiness.industrylcsh:RLimbs (Anatomy)Biology and Life SciencesReproducibility of ResultsBiological TissueCross-Sectional StudiesAge GroupsPeople and PlacesLean body masslcsh:QPopulation GroupingsbusinessNuclear medicineMathematicsPLoS ONE
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Influence of image reconstruction parameters on cardiovascular risk reclassification by Computed Tomography Coronary Artery Calcium Score

2018

Objective: To investigate the influence of different CT reconstruction parameters on coronary artery calcium scoring (CACS) values and reclassification of predicted cardiovascular (CV) risk. Methods: CACS was evaluated in 113 patients undergoing ECG-gated 64-slice CT. Reference CACS protocol included standard kernel filter (B35f) with slice thickness/increment of 3/1.5 mm, and field-of-view (FOV) of 150–180 mm. Influence of different image reconstruction algorithms (reconstructed slice thickness/increment 2.0/1.0–1.5/0.8–3.0/2.0–3.0/3.0 mm; slice kernel B30f-B45f; FOV 200–250 mm) on Agatston score was assessed by Bland-Altman plots and concordance correlation coefficient (CCC) ana…

MaleAccuracy and precisionRadiology Nuclear Medicine and ImagingCardiac computed tomographyComputed Tomography AngiographyComputed tomographyIterative reconstructionCoronary Artery Disease030204 cardiovascular system & hematologyRisk Assessment030218 nuclear medicine & medical imaging03 medical and health sciences0302 clinical medicineImage reconstruction algorithmRisk FactorsImage Processing Computer-AssistedMedicineHumansReconstruction parameterProspective StudiesVascular CalcificationAgedReconstruction parametersmedicine.diagnostic_testCoronary artery calcium scorebusiness.industryCoronary artery calcium scoreCardiovascular risk classificationGeneral MedicineMiddle AgedCardiovascular riskConcordance correlation coefficientCardiovascular DiseasesCardiac computed tomography; Cardiovascular risk; Cardiovascular risk classification; Coronary artery calcium score; Reconstruction parametersFemalebusinessAgatston scoreNuclear medicineSettore MED/36 - Diagnostica Per Immagini E RadioterapiaCoronary Artery Calcium ScoringAlgorithms
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Adaptation and validation of the Spanish self-report version of the Spinal Cord Independence Measure (SCIM III).

2014

Study design: This is a cross-sectional validation study. Objective: The objective of this study was to adapt and validate a self-report version of the Spinal Cord Independence Measure (SCIM III) for the Spanish population. Methods: A cross-cultural adaptation of the self-report version of the SCIM III for the Spanish population was performed on the basis of international guidelines. A total of 100 patients with spinal cord injury (SCI) were recruited. A team of healthcare professionals administered the SCIM III by observation. In addition, the patients completed the Spanish self-report version (eSCIM-SR). Data from both questionnaires were analysed jointly. Results: A high correlation was …

AdultMalemedicine.medical_specialtyActivities of daily livingCross-sectional studyCultureAnal CanalPilot ProjectsPhysical medicine and rehabilitationUrethraSurveys and QuestionnairesActivities of Daily LivingMedicineHumansSelf reportSpinal cord injurySpinal Cord InjuriesLanguageMeasure (data warehouse)business.industryRespirationGeneral MedicineMiddle Agedmedicine.diseaseSpinal cordConfidence intervalSelf Caremedicine.anatomical_structureConcordance correlation coefficientCross-Sectional StudiesNeurologySpainChronic DiseasePhysical therapyFemaleNeurology (clinical)Self Reportbusiness
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Monitoring bone growth using quantitative ultrasound in comparison with DXA and pQCT.

2008

Quantitative ultrasound (QUS) is a safe, inexpensive, and nonradiation method for bone density assessment. QUS correlates with, and predicts fragility fractures comparable to, dual-energy X-ray absorptiometry (DXA)-derived bone mineral density (BMD) in postmenopausal women. However, its validity in monitoring bone growth in children is not well understood. Two hundred and fifty-eight 10-13 yr pubertal girls and 9 37-43 yr adults without diseases or history of medications known to affect bone metabolism were included in the 2-yr prospective study. Calcaneal broadband ultrasound attenuation (cBUA) was assessed using QUS-2 (Quidel, Santa Clara, CA), speed of sound of tibial shaft (tSOS) using …

musculoskeletal diseasesAdultmedicine.medical_specialtyBone densityAdolescentEndocrinology Diabetes and MetabolismBone remodelingFractures BoneAbsorptiometry PhotonBone DensityMedicineHumansRadiology Nuclear Medicine and imagingOrthopedics and Sports MedicineProspective StudiesQuantitative computed tomographyProspective cohort studyChildFemoral neckUltrasonographyBone growthBone mineralmedicine.diagnostic_testbusiness.industryReproducibility of ResultsConcordance correlation coefficientmedicine.anatomical_structureFemaleRadiologybusinessNuclear medicineTomography X-Ray ComputedJournal of clinical densitometry : the official journal of the International Society for Clinical Densitometry
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A Methodological Framework to Discover Pharmacogenomic Interactions Based on Random Forests

2021

The identification of genomic alterations in tumor tissues, including somatic mutations, deletions, and gene amplifications, produces large amounts of data, which can be correlated with a diversity of therapeutic responses. We aimed to provide a methodological framework to discover pharmacogenomic interactions based on Random Forests. We matched two databases from the Cancer Cell Line Encyclopaedia (CCLE) project, and the Genomics of Drug Sensitivity in Cancer (GDSC) project. For a total of 648 shared cell lines, we considered 48,270 gene alterations from CCLE as input features and the area under the dose-response curve (AUC) for 265 drugs from GDSC as the outcomes. A three-step reduction t…

0301 basic medicineRandom ForestsPharmacogenomic Variantsdrug responseGenomicsComputational biologycell linesBiologyQH426-470Article03 medical and health sciences0302 clinical medicineNeoplasmsDrug responseGeneticsHumanscancerGene Regulatory Networksgenomic alterationGenetics (clinical)Random Forestcell linegenomic alterationsTumor tissueRandom forestpharmacogenomic interactions030104 developmental biologyConcordance correlation coefficientDrug Resistance Neoplasm030220 oncology & carcinogenesisPharmacogenomicsIdentification (biology)pharmacogenomic interactions.Cancer cell linesAlgorithmsGenome-Wide Association StudyGenes
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