Evidence map›Paper›PMID 33514522›Full record

ArticleHeart (British Cardiac Society)2021

Contrast-enhanced computed tomography assessment of aortic stenosis.

Timothy Rg Cartlidge, Rong Bing, Jacek Kwiecinski, Ezequiel Guzzetti, Tania A Pawade, Mhairi K Doris, Philip D Adamson, Daniele Massera, Maria Lembo, Frederique E C M Peeters and 8 more

Open access · hybridAbstract read
In one paragraph

Article in Heart (British Cardiac Society), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed
8.0field-weighted citation impact, top 2% 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

40 citing papers in PubMed, 74 citations in OpenAlex.

  1. Article
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  4. Article
  5. Observational
  6. Article
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  8. Review
  9. Article
  10. Aortic Stenosis: Time for a Sex-Based Approach?Journal of clinical medicine · 2025
    Review
  11. Article
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  15. Article
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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

18 authors at 7 institutions in 6 countries.

Timothy Rg Cartlidge *Centre for Cardiovascular Science, The University of Edinburgh, Edinburgh, UK.
Rong Bing *Centre for Cardiovascular Science, The University of Edinburgh, Edinburgh, UK rong.bing@ed.ac.uk.ORCID 0000-0002-8305-4906
Jacek KwiecinskiDepartment of Interventional Cardiology and Angiology, Institute of Cardiology, Warsaw, Poland.
Ezequiel GuzzettiQuebec Heart and Lung Institute, Quebec City, Quebec, Canada.ORCID 0000-0002-4633-9806
Tania A PawadeCentre for Cardiovascular Science, The University of Edinburgh, Edinburgh, UK.
Mhairi K DorisCentre for Cardiovascular Science, The University of Edinburgh, Edinburgh, UK.ORCID 0000-0003-3014-3654
Philip D AdamsonCentre for Cardiovascular Science, The University of Edinburgh, Edinburgh, UK.ORCID 0000-0002-6177-956X
Daniele MasseraLeon H Charney Division of Cardiology, New York University, New York City, New York, USA.
Maria LemboDepartment of Advanced Biomedical Sciences, University of Naples Federico II, Napoli, Italy.
Frederique E C M PeetersCentre for Cardiovascular Science, The University of Edinburgh, Edinburgh, UK.ORCID 0000-0002-6687-1330
Christian CoutureQuebec Heart and Lung Institute, Quebec City, Quebec, Canada.
Daniel S BermanDepartment of Imaging, Cedars-Sinai Medical Center, Los Angeles, California, USA.
Damini DeyBiomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA.
Piotr SlomkaBiomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA.
Philippe PibarotQuebec Heart and Lung Institute, Quebec City, Quebec, Canada.ORCID 0000-0002-3607-279X
David E NewbyCentre for Cardiovascular Science, The University of Edinburgh, Edinburgh, UK.ORCID 0000-0001-7971-4628
Marie-Annick ClavelQuebec Heart and Lung Institute, Quebec City, Quebec, Canada.ORCID 0000-0002-8924-740X
Marc R DweckCentre for Cardiovascular Science, The University of Edinburgh, Edinburgh, UK.ORCID 0000-0001-9847-5917
University of Edinburgh · GBMontreal Heart Institute · CACedars-Sinai Medical Center · USInstitute of Cardiology · PLNew York University · USUniversity of Naples Federico II · ITUniversity of Otago · NZ

Funding

British Heart Foundation CH/09/002British Heart Foundation CH/09/002/26360British Heart Foundation FS/13/77/30488British Heart Foundation FS/14/78/31020British Heart Foundation FS/16/19/31982British Heart Foundation FS/17/79/33226British Heart Foundation PG/19/40/34422British Heart Foundation RE/18/5/34216British Heart Foundation RG/16/10/32375Medical Research Council G0701127Wellcome TrustWellcome Trust WT103782AIA
6 · The paper itself

Abstract

objectivesNon-contrast CT aortic valve calcium scoring ignores the contribution of valvular fibrosis in aortic stenosis. We assessed aortic valve calcific and non-calcific disease using contrast-enhanced CT.

methodsThis was a post hoc analysis of 164 patients (median age 71 (IQR 66-77) years, 78% male) with aortic stenosis (41 mild, 89 moderate, 34 severe; 7% bicuspid) who underwent echocardiography and contrast-enhanced CT as part of imaging studies. Calcific and non-calcific (fibrosis) valve tissue volumes were quantified and indexed to annulus area, using Hounsfield unit thresholds calibrated against blood pool radiodensity. The fibrocalcific ratio assessed the relative contributions of valve fibrosis and calcification. The fibrocalcific volume (sum of indexed non-calcific and calcific volumes) was compared with aortic valve peak velocity and, in a subgroup, histology and valve weight.

resultsContrast-enhanced CT calcium volumes correlated with CT calcium score (r=0.80, p<0.001) and peak aortic jet velocity (r=0.55, p<0.001). The fibrocalcific ratio decreased with increasing aortic stenosis severity (mild: 1.29 (0.98-2.38), moderate: 0.87 (1.48-1.72), severe: 0.47 (0.33-0.78), p<0.001) while the fibrocalcific volume increased (mild: 109 (75-150), moderate: 191 (117-253), severe: 274 (213-344) mm

conclusionsContrast-enhanced CT assessment of aortic valve calcific and non-calcific volumes correlates with aortic stenosis severity and may be preferable to non-contrast CT when fibrosis is a significant contributor to valve obstruction.

Indexed as

AgedAortic ValveAortic Valve StenosisCalcinosisContrast MediaDisease ProgressionFemaleFibrosisHumansMaleMiddle AgedMultidetector Computed TomographySeverity of Illness IndexContrast Mediaaortic valve stenosismultidetector computed tomography

Identifiers

PMID33514522
PMCPMC8600609
OpenAlexW3124046908

What OpenQuestion holds

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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.