Evidence map›Paper›PMID 30891468›Full record

ArticleJournal of medical imaging (Bellingham, Wash.)2019

Initial evaluation of three-dimensionally printed patient-specific coronary phantoms for CT-FFR software validation.

Lauren M Shepard, Kelsey N Sommer, Erin Angel, Vijay Iyer, Michael F Wilson, Frank J Rybicki, Dimitrios Mitsouras, Sabee Molloi, Ciprian N Ionita

Registry-linked trialAbstract read
In one paragraph

Article in Journal of medical imaging (Bellingham, Wash.), 2019. 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 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.

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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Evaluation of challenges and limitations of mechanical thrombectomy using 3D printed neurovascular phantoms.Proceedings of SPIE--the International Society for Optical Engineering · 2021
    Article
  6. Article
  7. 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

9 authors.

Lauren M ShepardUniversity at Buffalo, University Department of Biomedical Engineering, Buffalo, New York, United States.ORCID https://orcid.org/0000-0002-0926-1587
Kelsey N SommerUniversity at Buffalo, University Department of Biomedical Engineering, Buffalo, New York, United States.
Erin AngelCanon Medical Systems USA, Tustin, California, United States.ORCID https://orcid.org/0000-0003-1578-6491
Vijay IyerUniversity at Buffalo Medicine, Interventional Cardiology, UBMD, Buffalo, New York, United States.
Michael F WilsonUniversity at Buffalo Medicine, Interventional Cardiology, UBMD, Buffalo, New York, United States.
Frank J RybickiUniversity of Ottawa, Ottawa Hospital Research Institute and the Department of Radiology, Ottawa, Canada.
Dimitrios MitsourasUniversity of Ottawa, Ottawa Hospital Research Institute and the Department of Radiology, Ottawa, Canada.
Sabee MolloiUniversity of California Irvine, University Department of Radiological Sciences, Irvine, California, United States.ORCID https://orcid.org/0000-0003-1852-4913
Ciprian N IonitaUniversity at Buffalo, University Department of Biomedical Engineering, Buffalo, New York, United States.ORCID https://orcid.org/0000-0001-7049-0592

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We developed three-dimensionally (3D) printed patient-specific coronary phantoms that are capable of sustaining physiological flow and pressure conditions. We assessed the accuracy of these phantoms from coronary CT acquisition, benchtop experimentation, and CT-FFR software. Five patients with coronary artery disease underwent 320-detector row coronary CT angiography (CCTA) (Aquilion ONE, Canon Medical Systems) and a catheter lab procedure to measure fractional flow reserve (FFR). The aortic root and three main coronary arteries were segmented (Vitrea, Vital Images) and 3D printed (Eden 260V, Stratasys). Phantoms were connected into a pulsatile flow loop, which replicated physiological flow and pressure gradients. Contrast was introduced and the phantoms were scanned using the same CT scanner model and CCTA protocol as used for the patients. Image data from the phantoms were input to a CT-FFR research software (Canon Medical Systems) and compared to those derived from the clinical data, along with comparisons between image measurements and benchtop FFR results. Phantom diameter measurements were within 1 mm on average compared to patient measurements. Patient and phantom CT-FFR results had an absolute mean difference of 4.34% and Pearson correlation of 0.95. We have demonstrated the capabilities of 3D printed patient-specific phantoms in a diagnostic software.

Indexed as

blood flow simulationscoronary CT angiographycoronary phantomsCT-FFRpatient specific 3D printed phantoms

Identifiers

PMID30891468
PMCPMC6411941

What OpenQuestion holds

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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.