Evidence map›Paper›PMID 26732862›Full record

Trial reportJournal of cardiovascular computed tomography

3D printing based on cardiac CT assists anatomic visualization prior to transcatheter aortic valve replacement.

Beth Ripley, Tatiana Kelil, Michael K Cheezum, Alexandra Goncalves, Marcelo F Di Carli, Frank J Rybicki, Mike Steigner, Dimitrios Mitsouras, Ron Blankstein

Abstract readClinical Trial
In one paragraph

Trial report in Journal of cardiovascular computed tomography. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 75 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
75citing papers in PubMed, 3 pooled it
16.1field-weighted citation impact, top 1% 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

75 citing papers in PubMed, 3 syntheses or guidelines pooled it, 206 citations in OpenAlex.

  1. Pooled it
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  8. 3D printing in medicine: bridging imaging, education, and practice.Archives of medical sciences. Atherosclerotic diseases · 2025
    Article
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  14. Polysaccharide-based biomaterials in a journey from 3D to 4D printing.Bioengineering & translational medicine · 2023
    Review
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15 more citing papers are in PubMed but not listed here.

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

9 authors at 4 institutions in 3 countries.

Beth RipleyDepartment of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Tatiana KelilDepartment of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Michael K CheezumDepartment of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA; Department of Medicine (Cardiovascular Division), Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Alexandra GoncalvesDepartment of Medicine (Cardiovascular Division), Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA; University of Porto Medical School, Porto, Portugal.
Marcelo F Di CarliDepartment of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA; Department of Medicine (Cardiovascular Division), Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Frank J RybickiThe Ottawa Hospital Research Institute and Department of Radiology, The University of Ottawa, Ottawa, ON, Canada.
Mike SteignerDepartment of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Dimitrios MitsourasDepartment of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Ron BlanksteinDepartment of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA; Department of Medicine (Cardiovascular Division), Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA. Electronic address: rblankstein@partners.org.
Harvard University · USBrigham and Women's Hospital · USOttawa Hospital · CAUniversidade do Porto · PT

Funding

Quantitative Coronary Hemodynamics Derived from CT AngiographyK01EB015868 · NIBIB · BRIGHAM AND WOMEN'S HOSPITAL · PI MITSOURAS, DIMITRIOS · 2013 to 2015
$520k
NIBIB NIH HHS K01 EB015868
6 · The paper itself

Abstract

background3D printing is a promising technique that may have applications in medicine, and there is expanding interest in the use of patient-specific 3D models to guide surgical interventions.

objectiveTo determine the feasibility of using cardiac CT to print individual models of the aortic root complex for transcatheter aortic valve replacement (TAVR) planning as well as to determine the ability to predict paravalvular aortic regurgitation (PAR).

methodsThis retrospective study included 16 patients (9 with PAR identified on blinded interpretation of post-procedure trans-thoracic echocardiography and 7 age, sex, and valve size-matched controls with no PAR). 3D printed models of the aortic root were created from pre-TAVR cardiac computed tomography data. These models were fitted with printed valves and predictions regarding post-implant PAR were made using a light transmission test.

resultsAortic root 3D models were highly accurate, with excellent agreement between annulus measurements made on 3D models and those made on corresponding 2D data (mean difference of -0.34 mm, 95% limits of agreement: ± 1.3 mm). The 3D printed valve models were within 0.1 mm of their designed dimensions. Examination of the fit of valves within patient-specific aortic root models correctly predicted PAR in 6 of 9 patients (6 true positive, 3 false negative) and absence of PAR in 5 of 7 patients (5 true negative, 2 false positive).

conclusionsPre-TAVR 3D-printing based on cardiac CT provides a unique patient-specific method to assess the physical interplay of the aortic root and implanted valves. With additional optimization, 3D models may complement traditional techniques used for predicting which patients are more likely to develop PAR.

Indexed as

Printing, Three-DimensionalAgedAged, 80 and overAortic ValveAortic Valve InsufficiencyAortographyComputer SimulationEquipment Failure AnalysisFemaleHeart Valve ProsthesisHumansImaging, Three-DimensionalMaleModels, AnatomicModels, CardiovascularPatient-Specific Modeling3D printingAdditive manufacturingAortic valveParaoartic regurgitationParavalvular leakTAVRthree-dimensional

Identifiers

PMID26732862
PMCPMC5573584
OpenAlexW2213274111

What OpenQuestion holds

Textmetadata
LicenceTDM
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.