scholarly journals Calcium density score

2020 ◽  
Author(s):  
Joachim Feger
Keyword(s):  
Density Score

Syntactic Development in the Oral Language of Learning Disabled and Normal Students at the Intermediate and Secondary Level

1983 ◽  
Vol 6 (2) ◽  
pp. 155-165 ◽  
Author(s):  
Rochelle B. Simms ◽  
W. Donald Crump
Keyword(s):  
Language Development ◽  
Oral Language ◽  
Secondary Level ◽  
Learning Disabled ◽  
Oral Language Development ◽  
Normally Achieving ◽  
Density Score ◽  
Crucial Component ◽  
Syntactic Development ◽  
Two Indices

Syntax is a crucial component of oral language development. Frequently, learning disabled children's oral language development is characterized by syntax problems. Hence, since deviations in oral language development may form the basis for identification of learning disabilities, adequate indices of oral language development are needed. The purpose of this study was to explore two indices of syntactic development in oral language, the T-unit and the Syntactic Density Score. Learning disabled students and a matched group of normally achieving peers were compared on these indices at four age levels. Results are reported for each measure along with a discussion and implications.

FLDS: Fast Outlier Detection Based on Local Density Score

2016 ◽  
Author(s):  
Vu Viet Thang ◽  
D.V. Pantiukhin ◽  
A.N. Nazarov
Keyword(s):  
Outlier Detection ◽  
Local Density ◽  
Density Score

scholarly journals New Momentum in Healthy Nutrition: A Proposal for a Nutrient-Energy Density Score Concept

2016 ◽  
Vol 05 (01) ◽  
Author(s):  
Manfred Eggersdorfer ◽  
Szabolcs Peter
Keyword(s):  
Energy Density ◽  
Density Score ◽  
Healthy Nutrition

Abstract 021: Greater Calcium Density of Coronary Artery Plaque is Protective for Cardiovascular Events. The Multi-Ethnic Study of Atherosclerosis

Circulation ◽  
2013 ◽  
Vol 127 (suppl_12) ◽  
Author(s):  
Michael H Criqui
Keyword(s):  
Coronary Artery ◽  
Standard Deviation ◽  
Proportional Hazards Model ◽  
Hazard Ratio ◽  
Calcium Deposition ◽  
Agatston Score ◽  
Standard Deviation Increase ◽  
Density Score ◽  
Independent Association ◽  
Volume Score

Background— Coronary artery calcium (CAC) measured by computed tomography (CT) has strong predictive value for incident cardiovascular disease (CVD) events. The standard CAC score is the Agatston, which is the product of the within slice CAC plaque area and a plaque specific density factor of 1, 2, 3, or 4, summed for all CT slices. Thus, the Agatston score is weighted upward for greater CAC density. However, data from both observational studies and randomized trials suggest increased CAC density per se may be protective for CVD. Methods— In a multi-ethnic population of 3398 men and women with Agatston scores > 0 at baseline, we derived a formula using the individual Agatston scores and the volume scores to create a per participant CAC density score. We then analyzed the independent associations of CAC volume and CAC density with incident hard CVD, defined as MI, resuscitated cardiac arrest, cardiac death, stroke, or stroke death, Results— During a median of 7.6 years of follow-up, there were 265 hard CVD events, 175 of which were coronary heart disease (CHD) events. In a proportional hazards model including the General Framingham Risk Score (GFRS) and both the CAC volume and CAC density score, the CAC volume score showed a strong independent association with incident CVD, with a hazard ratio per natural log standard deviation increase of 1.62, p<.0001. Conversely, the CAC density score showed an independent association that was strongly protective for CVD, with a hazard ratio per standard deviation increase of 0.72, p<.0003. Multivariate quartile analyses showed that at any given volume score, a density score in the 4 th quartile (range 3.2 to 4.0) decreased the risk of a CVD event by 51%, p=.002. The density score showed no significant interactions with either sex or ethnicity. The addition of the volume score to the model containing the GFRS increased the area under the ROC curve (AUC) from 0.664 to 0.6869, p=.015, and further addition of the density score increased the AUC to .6994, p=.023. Separate analyses limited to CHD events showed similar results. Conclusions— At any given volume of CAC, increased density in calcified coronary plaques is protective for incident CVD, consistent with the concept that calcium deposition may increase the stability of atherosclerotic plaques. CAC scoring systems should be modified to weight downward for density rather than upward, and thus improve CVD risk prediction.

A replicable CD271+ mesenchymal stromal cell density score: bringing the dysfunctional myelodysplastic syndrome niche to the diagnostic laboratory

2016 ◽  
Vol 58 (7) ◽  
pp. 1730-1732 ◽  
Author(s):  
Eric Gars ◽  
Sherif M. Yousry ◽  
Daniel Babu ◽  
Jason H. Kurzer ◽  
Tracy I. George ◽  
...  
Keyword(s):  
Myelodysplastic Syndrome ◽  
Cell Density ◽  
Mesenchymal Stromal Cell ◽  
Stromal Cell ◽  
Diagnostic Laboratory ◽  
Density Score

Prognostic Value of Neonatal CT Scans in Asphyxiated Term Babies: Low Density Score Compared with Neonatal Neurological Signs

1985 ◽  
Vol 16 (04) ◽  
pp. 209-217 ◽  
Author(s):  
A. Lipp-Zwahlen ◽  
T. Deonna ◽  
J. Micheli ◽  
A. Calame ◽  
R. Chrzanowski ◽  
...  
Keyword(s):  
Prognostic Value ◽  
Ct Scans ◽  
Low Density ◽  
Neurological Signs ◽  
Density Score

scholarly journals Data quality evaluation for observational multiple sclerosis registries

2016 ◽  
Vol 23 (5) ◽  
pp. 647-655 ◽  
Author(s):  
Tomas Kalincik ◽  
Jens Kuhle ◽  
Eugenio Pucci ◽  
Juan Ignacio Rojas ◽  
Magda Tsolaki ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Data Quality ◽  
Error Rate ◽  
Objective Evaluation ◽  
Strongly Correlated ◽  
Treatment Information ◽  
Density Score ◽  
Number Of Patients ◽  
Data Density ◽  
Evaluation Of Data

Objective: Objective and reproducible evaluation of data quality is of paramount importance for studies of ‘real-world’ observational data. Here, we summarise a standardised data quality, density and generalisability process implemented by MSBase, a global multiple sclerosis (MS) cohort study. Methods: Error rate, data density score and generalisability score were developed using all 35,869 patients enrolled in MSBase as of November 2015. The data density score was calculated across six domains (follow-up, demography, visits, MS relapses, paraclinical data and therapy) and emphasised data completeness. The error rate evaluated syntactic accuracy and consistency of data. The generalisability score evaluated believability of the demographic and treatment information. Correlations among the three scores and the number of patients per centre were evaluated. Results: Errors were identified at the median rate of 3 per 100 patient-years. The generalisability score indicated the samples’ representativeness of the known MS epidemiology. Moderate correlation between the density and generalisability scores (ρ = 0.58) and a weak correlation between the error rate and the other two scores (ρ = −0.32 to −0.33) were observed. The generalisability score was strongly correlated with centre size (ρ = 0.79). Conclusion: The implemented scores enable objective evaluation of the quality of observational MS data, with an impact on the design of future analyses.

scholarly journals What is an affordable nutritious food? Applications of the nutrient density score across and within food groups

2007 ◽  
Vol 21 (5) ◽  
Author(s):  
Matthieu Maillot ◽  
Nicole Darmon ◽  
Michel Darmon ◽  
Adam Drewnowski
Keyword(s):  
Food Groups ◽  
Nutrient Density ◽  
Density Score ◽  
Nutritious Food ◽  
Food Applications

Comparison of a Deep Learning Risk Score and Standard Mammographic Density Score for Breast Cancer Risk Prediction

Radiology ◽  
2020 ◽  
Vol 294 (2) ◽  
pp. 265-272 ◽  
Author(s):  
Karin Dembrower ◽  
Yue Liu ◽  
Hossein Azizpour ◽  
Martin Eklund ◽  
Kevin Smith ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Deep Learning ◽  
Breast Cancer Risk ◽  
Cancer Risk ◽  
Risk Prediction ◽  
Mammographic Density ◽  
Risk Score ◽  
Density Score
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