Evidence map›Paper›PMID 22983281›Full record

ArticleEuropean radiology2013

Fully automated derivation of coronary artery calcium scores and cardiovascular risk assessment from contrast medium-enhanced coronary CT angiography studies.

Ullrich Ebersberger, Dov Eilot, Roman Goldenberg, Alon Lev, J Reid Spears, Garrett W Rowe, Nicholas Y Gallagher, William T Halligan, Philipp Blanke, Marcus R Makowski and 6 more

Abstract read
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Article in European radiology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.7field-weighted citation impact, top 10% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 21 citations in OpenAlex.

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  10. Fully automatic model-based calcium segmentation and scoring in coronary CT angiography.International journal of computer assisted radiology and surgery · 2014
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors at 6 institutions in 3 countries.

Ullrich EbersbergerDepartment of Radiology and Radiological Science, Medical University of South Carolina, Ashley River Tower, 25 Courtenay Drive, Charleston, SC 29425-2260, USA.
Dov Eilot
Roman Goldenberg
Alon Lev
J Reid Spears
Garrett W Rowe
Nicholas Y Gallagher
William T Halligan
Philipp Blanke
Marcus R Makowski
Aleksander W Krazinski
Justin R Silverman
Fabian Bamberg
Alexander W Leber
Ellen Hoffmann
U Joseph Schoepf
Medical University of South Carolina · USCharité - Universitätsmedizin Berlin · DELudwig-Maximilians-Universität München · DEMünchen Klinik Bogenhausen · DESunnybrook Health Science Centre · CAUniversity Medical Center Freiburg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesPerformance evaluation of a fully automated system for calculating computed tomography (CT) coronary artery calcium scores from contrast medium-enhanced coronary CT angiography (cCTA) studies.

methodsOne hundred and twenty-seven patients (58 ± 11 years, 71 men) who had undergone cCTA as well as an unenhanced CT calcium scoring study where included. Calcium scores were computed from cCTA by an automated image processing algorithm and compared with calcium scores obtained by standard manual assessment of unenhanced CT calcium scoring studies. Results were compared vis-a-vis (1) absolute calcium score values, (2) age-, gender- and race-dependent percentiles, and (3) commonly used calcium score risk classification categories.

resultsOne hundred and nineteen out of 127 (93.7%) studies were successfully processed. Mean Agatston calcium score values obtained by traditional non-contrast CT calcium scoring studies and derived from contrast medium-enhanced cCTA did not significantly differ (235.6 ± 430.5 vs 262.0 ± 499.5; P > 0.05). Calcium score risk categories and Multi-Ethnic Study of Atherosclerosis (MESA) percentiles showed very high correlation (Spearman rank correlation coefficient = 0.97, P < 0.0001/0.95, P < 0.0001) between the two approaches.

conclusionsCalcium score values automatically computed from cCTA are highly correlated with standard unenhanced CT calcium scoring studies. These results suggest a radiation dose- and time-saving potential when deriving calcium scores from cCTA studies without a preceding unenhanced CT calcium scoring study.

Indexed as

AlgorithmsCalcinosisContrast MediaCoronary AngiographyCoronary Artery DiseaseFemaleHumansIohexolMaleMiddle AgedRadiographic Image EnhancementRadiographic Image Interpretation, Computer-AssistedReproducibility of ResultsRisk FactorsSensitivity and SpecificityTomography, X-Ray ComputedContrast MediaIohexoliopromide

Identifiers

PMID22983281
OpenAlexW2151774404

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.