Evidence map›Paper›PMID 20602171›Full record

ArticleThe international journal of cardiovascular imaging2011

Small coronary calcifications are not detectable by 64-slice contrast enhanced computed tomography.

Alina G van der Giessen, Frank J H Gijsen, Jolanda J Wentzel, Pushpa M Jairam, Theo van Walsum, Lisan A E Neefjes, Nico R Mollet, Wiro J Niessen, Frans N van de Vosse, Pim J de Feyter and 1 more

Abstract read
In one paragraph

Article in The international journal of cardiovascular imaging, 2011. 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
–field-weighted citation impact
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.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Alina G van der GiessenBiomedical Engineering, Department of Cardiology, Erasmus MC, Biomechanics Laborator, Rotterdam, CA, 3000, The Netherlands.
Frank J H Gijsen
Jolanda J Wentzel
Pushpa M Jairam
Theo van Walsum
Lisan A E Neefjes
Nico R Mollet
Wiro J Niessen
Frans N van de Vosse
Pim J de Feyter
Antonius F W van der Steen

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recently, small calcifications have been associated with unstable plaques. Plaque calcifications are both in intravascular ultrasound (IVUS) and multi-slice computed tomography (MSCT) easily recognized. However, smaller calcifications might be missed on MSCT due to its lower resolution. Because it is unknown to which extent calcifications can be detected with MSCT, we compared calcification detection on contrast enhanced MSCT with IVUS. The coronary arteries of patients with myocardial infarction or unstable angina were imaged by 64-slice MSCT angiography and IVUS. The IVUS and MSCT images were registered and the arteries were inspected on the presence of calcifications on both modalities independently. We measured the length and the maximum circumferential angle of each calcification on IVUS. In 31 arteries, we found 99 calcifications on IVUS, of which only 47 were also detected on MSCT. The calcifications missed on MSCT (n = 52) were significantly smaller in angle (27° ± 16° vs. 59° ± 31°) and length (1.4 ± 0.8 vs. 3.7 ± 2.2 mm) than those detected on MSCT. Calcifications could only be detected reliably on MSCT if they were larger than 2.1 mm in length or 36° in angle. Half of the calcifications seen on the IVUS images cannot be detected on contrast enhanced 64-slice MSCT angiography images because of their size. The limited resolution of MSCT is the main reason for missing small calcifications.

Indexed as

Tomography, X-Ray ComputedAdultAgedCalcinosisClinical Trials as TopicCoronary AngiographyCoronary Artery DiseaseFalse Negative ReactionsFemaleHumansImage Interpretation, Computer-AssistedMaleMiddle AgedNetherlandsPredictive Value of TestsROC Curve

Identifiers

PMID20602171
PMCPMC3035782

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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.