Evidence map›Paper›PMID 28649159›Full record

ArticleProceedings of SPIE--the International Society for Optical Engineering2017

Initial Simulated FFR Investigation Using Flow Measurements in Patient-specific 3D Printed Coronary Phantoms.

Lauren Shepard, Kelsey Sommer, Richard Izzo, Alexander Podgorsak, Michael Wilson, Zaid Said, Frank J Rybicki, Dimitrios Mitsouras, Stephen Rudin, Erin Angel and 1 more

Registry-linked trialAbstract read
In one paragraph

Article in Proceedings of SPIE--the International Society for Optical Engineering, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03149042 (Validation of a Computed Tomography), which is not on this map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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.

NCT03149042 completednot on this map

Validation of a Computed Tomography (CT) Based Fractional Flow Reserve (FFR) Software Using the 320 Detector Aquilion ONE CT Scanner.

TypeobservationalSponsorState University of New York at BuffaloRan2016 to 2019Enrolled75ConditionsAtherosclerosis, CoronaryArmsCCTA
3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Review
  2. 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

11 authors.

Lauren ShepardUniversity Dept. of Biomedical Engineering, University at Buffalo, Buffalo, NY.
Kelsey SommerUniversity Dept. of Biomedical Engineering, University at Buffalo, Buffalo, NY.
Richard IzzoUniversity Dept. of Biomedical Engineering, University at Buffalo, Buffalo, NY.
Alexander PodgorsakUniversity Dept. of Biomedical Engineering, University at Buffalo, Buffalo, NY.
Michael WilsonInterventional Cardiology, University at Buffalo Medicine, UBMD, Buffalo, NY.
Zaid SaidInterventional Cardiology, University at Buffalo Medicine, UBMD, Buffalo, NY.
Frank J RybickiThe Ottawa Hospital Research Institute and the Department of Radiology, University of Ottawa, Ottawa, ON, CA.
Dimitrios MitsourasBrigham and Women's Hospital, Boston, MA.
Stephen RudinUniversity Dept. of Biomedical Engineering, University at Buffalo, Buffalo, NY.
Erin AngelToshiba American Medical Systems, Tustin, CA.
Ciprian N IonitaUniversity Dept. of Biomedical Engineering, University at Buffalo, Buffalo, NY.

Funding

Micro-Radiographic Imager for Neuroovascular InterventionsR01EB002873 · NIBIB · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI RUDIN, STEPHEN · 2003 to 2015
$5.6M
NIBIB NIH HHS R01 EB002873
6 · The paper itself

Abstract

purposeAccurate patient-specific phantoms for device testing or endovascular treatment planning can be 3D printed. We expand the applicability of this approach for cardiovascular disease, in particular, for CT-geometry derived benchtop measurements of Fractional Flow Reserve, the reference standard for determination of significant individual coronary artery atherosclerotic lesions. MATERIALS AND

methodsCoronary CT Angiography (CTA) images during a single heartbeat were acquired with a 320×0.5mm detector row scanner (Toshiba Aquilion ONE). These coronary CTA images were used to create 4 patient-specific cardiovascular models with various grades of stenosis: severe, <75% (n=1); moderate, 50-70% (n=1); and mild, <50% (n=2). DICOM volumetric images were segmented using a 3D workstation (Vitrea, Vital Images); the output was used to generate STL files (using AutoDesk Meshmixer), and further processed to create 3D printable geometries for flow experiments. Multi-material printed models (Stratasys Connex3) were connected to a programmable pulsatile pump, and the pressure was measured proximal and distal to the stenosis using pressure transducers. Compliance chambers were used before and after the model to modulate the pressure wave. A flow sensor was used to ensure flow rates within physiological reported values.

results3D model based FFR measurements correlated well with stenosis severity. FFR measurements for each stenosis grade were: 0.8 severe, 0.7 moderate and 0.88 mild.

conclusions3D printed models of patient-specific coronary arteries allows for accurate benchtop diagnosis of FFR. This approach can be used as a future diagnostic tool or for testing CT image-based FFR methods.

Identifiers

PMID28649159
PMCPMC5480207

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Registered trials

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.