Evidence map›Paper›PMID 32472299›Full record

ArticleThe international journal of cardiovascular imaging2020

Accuracy of cardiac magnetic resonance generated 3D models of the aortic annulus compared to cardiovascular computed tomography generated 3D models.

Marco Gatti, Aurelio Cosentino, Erik Cura Stura, Laura Bergamasco, Domenica Garabello, Giovanni Pennisi, Mattia Puppo, Stefano Salizzoni, Simona Veglia, Ottavio Davini and 3 more

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in The international journal of cardiovascular imaging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 30% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. Review
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

13 authors at 1 institution in 1 country.

Marco GattiRadiology Unit, Department of Surgical Sciences, University of Turin, Via Genova 3, 10126, Torino, Italy. marcogatti17@gmail.com.ORCID http://orcid.org/0000-0001-8168-5280
Aurelio CosentinoRadiology Unit, Department of Surgical Sciences, University of Turin, Via Genova 3, 10126, Torino, Italy.
Erik Cura SturaDivision of Cardiac Surgery, Department of Surgical Sciences, University of Turin, Torino, Italy.
Laura BergamascoDepartment of Surgical Sciences, University of Turin, Torino, Italy.
Domenica GarabelloDepartment of Radiodiagnostic, S.C. Radiodiagnostica Ospedaliera, Torino, Italy.
Giovanni PennisiDepartment of Surgical Sciences, University of Turin, Torino, Italy.
Mattia PuppoRadiology Unit, Department of Surgical Sciences, University of Turin, Via Genova 3, 10126, Torino, Italy.
Stefano SalizzoniDivision of Cardiac Surgery, Department of Surgical Sciences, University of Turin, Torino, Italy.
Simona VegliaDepartment of Radiodiagnostic, S.C. Radiodiagnostica Ospedaliera, Torino, Italy.
Ottavio DaviniDepartment of Radiodiagnostic, S.C. Radiodiagnostica Ospedaliera, Torino, Italy.
Mauro RinaldiDivision of Cardiac Surgery, Department of Surgical Sciences, University of Turin, Torino, Italy.
Paolo FonioRadiology Unit, Department of Surgical Sciences, University of Turin, Via Genova 3, 10126, Torino, Italy.
Riccardo FalettiRadiology Unit, Department of Surgical Sciences, University of Turin, Via Genova 3, 10126, Torino, Italy.
University of Turin · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To evaluate the accuracy of 3D models of the aortic-root generated from non-contrast cardiac magnetic resonance (CMR). Data were retrospectively collected from 30 consecutive patients who underwent surgical aortic valve replacement and had available records of both intra-operative assessment and pre-surgery annulus assessment by cardiovascular computed tomography (CCT) and CMR. The 3D models were independently segmented, modelled and printed by two blinded "manufacturers". The measurements on the models were carried out by two cardiac surgeons with Hegar dilator. Data were analyzed with non-parametric tests. There was no significant intra- or inter-observer variability (p ≥ 0.13). The agreement between the diameter of the 3D model derived from CMR images and either the anatomical reference of the intraoperative measurement (p = 0.10, r = 0.97) or the radiological reference of the 3D model generated from CCT (p = 0.71, r = 0.92) was very good. The process of segmentation plus the post-processing was about 17 ± 2 min for a model created by CMR, significantly higher than a model created from CCT (7 ± 2 min; p < 0.001). The printing time for a single model did not differ between the two modalities (p = 0.61) and was less than 60 min. The cost for a single model was approximately 0.5 €. 3D models generated from non-contrast CMR performed well when compared to the anatomical reference standard and are comparable to the pair CCT derived models.

Indexed as

Magnetic Resonance ImagingModels, CardiovascularMultidetector Computed TomographyPrinting, Three-DimensionalAgedAged, 80 and overAortic ValveAortic Valve StenosisFemaleHumansMalePredictive Value of TestsReproducibility of ResultsRetrospective StudiesTime FactorsTranscatheter Aortic Valve Replacement3D printingAortic valve stenosisMagnetic resonance imagingTranscatheter aortic valve replacement

Identifiers

PMID32472299
OpenAlexW3030362413

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.