scholarly journals Calcium density score

2020 ◽  
Author(s):  
Joachim Feger
Keyword(s):  
1983 ◽  
Vol 6 (2) ◽  
pp. 155-165 ◽  
Author(s):  
Rochelle B. Simms ◽  
W. Donald Crump

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.


Circulation ◽  
2013 ◽  
Vol 127 (suppl_12) ◽  
Author(s):  
Michael H Criqui

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.


2016 ◽  
Vol 58 (7) ◽  
pp. 1730-1732 ◽  
Author(s):  
Eric Gars ◽  
Sherif M. Yousry ◽  
Daniel Babu ◽  
Jason H. Kurzer ◽  
Tracy I. George ◽  
...  

1985 ◽  
Vol 16 (04) ◽  
pp. 209-217 ◽  
Author(s):  
A. Lipp-Zwahlen ◽  
T. Deonna ◽  
J. Micheli ◽  
A. Calame ◽  
R. Chrzanowski ◽  
...  

2016 ◽  
Vol 23 (5) ◽  
pp. 647-655 ◽  
Author(s):  
Tomas Kalincik ◽  
Jens Kuhle ◽  
Eugenio Pucci ◽  
Juan Ignacio Rojas ◽  
Magda Tsolaki ◽  
...  

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.


2007 ◽  
Vol 21 (5) ◽  
Author(s):  
Matthieu Maillot ◽  
Nicole Darmon ◽  
Michel Darmon ◽  
Adam Drewnowski

Radiology ◽  
2020 ◽  
Vol 294 (2) ◽  
pp. 265-272 ◽  
Author(s):  
Karin Dembrower ◽  
Yue Liu ◽  
Hossein Azizpour ◽  
Martin Eklund ◽  
Kevin Smith ◽  
...  

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