Evidence map›Paper›PMID 27838897›Full record

ArticleThe international journal of cardiovascular imaging2017

Accurate quantification of vessel cross-sectional area using CT angiography: a simulation study.

Sabee Molloi, Travis Johnson, Huanjun Ding, Jerry Lipinski

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Article in The international journal of cardiovascular imaging, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Observational
  3. Article
  4. Review
  5. Article
  6. Article
  7. Cardiovascular imaging 2016 in the International Journal of Cardiovascular Imaging.The international journal of cardiovascular imaging · 2017
    Article
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

4 authors.

Sabee MolloiDepartment of Radiological Sciences, Medical Sciences B, 140, University of California, Irvine, CA, 92697, USA. symolloi@uci.edu.
Travis JohnsonDepartment of Radiological Sciences, Medical Sciences B, 140, University of California, Irvine, CA, 92697, USA.
Huanjun DingDepartment of Radiological Sciences, Medical Sciences B, 140, University of California, Irvine, CA, 92697, USA.
Jerry LipinskiDepartment of Radiological Sciences, Medical Sciences B, 140, University of California, Irvine, CA, 92697, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coronary computed tomography (CT) angiography is a noninvasive method for visualizing coronary atherosclerosis. However, CT angiography is limited in assessment of stenosis severity by the partial volume effect and calcification. Therefore, a quantitative method for assessment of stenosis severity is needed. Polyenergetic fan beam CT simulations were performed to match the geometry of a 320-slice CT scanner. Contrast-enhanced vessel lumens were modeled as 8 mg/ml Iodine solution against a lipid background. Normal vessels were simulated by circles with diameters in the range of 0.1-3 mm. To simulate lesions, 2, 3, and 4 mm diameter vessels were simulated with area stenoses in a range of 10-90 %. The occlusion was created by a circular region of lipid placed within the lumen resulting in a crescent shaped lumen. Each vessel was simulated three times to obtain multiple noise realizations for a total of 126 vessels. Two trained readers performed manual cross-sectional area measurements in simulated normal and stenotic vessels. A new, semi-automated technique based on integrated Hounsfield units was also used to calculate vessel cross-sectional area. There was an excellent correlation between the measured and the known cross-sectional area for both normal and stenotic vessels using the manual and the semi-automated techniques. However, the overall measurement error for the manual method was more than twice as compared with the integrated HU technique. Determination of vessel cross-sectional area using the semi-automated integrated Hounsfield unit technique yields more than a factor of two improvement in accuracy as compared to the existing manual technique for vessels with and without stenosis. This technique can also be used to correct for the effect of coronary calcification.

Indexed as

Computed Tomography AngiographyComputer SimulationModels, CardiovascularMultidetector Computed TomographyAlgorithmsAutomationContrast MediaCoronary AngiographyCoronary Artery DiseaseCoronary StenosisCoronary VesselsHumansObserver VariationPredictive Value of TestsRadiographic Image Interpretation, Computer-AssistedReproducibility of ResultsContrast MediaAngiographyCoronary diseaseImagingTomography

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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.