Evidence map›Paper›PMID 29376102›Full record

ArticleJournal of medical imaging (Bellingham, Wash.)2018

Quantification of uncertainty in the assessment of coronary plaque in CCTA through a dynamic cardiac phantom and 3D-printed plaque model.

Taylor Richards, Gregory M Sturgeon, Juan Carlos Ramirez-Giraldo, Geoffrey D Rubin, Lynne Hurwitz Koweek, William Paul Segars, Ehsan Samei

Abstract read
In one paragraph

Article in Journal of medical imaging (Bellingham, Wash.), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the 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.

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

7 citing papers in PubMed.

  1. Article
  2. Review
  3. Impact of the confluence of cardiac motion and high spatial resolution on performance of ECG-gated imaging with an investigational photon-counting CT system: A phantom study.Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) · 2023
    Article
  4. Article
  5. 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

7 authors.

Taylor RichardsDuke University, Carl E. Ravin Advanced Imaging Labs, Department of Radiology, Medical Physics Graduate Program, Durham, North Carolina, United States.ORCID https://orcid.org/0000-0002-7251-2668
Gregory M SturgeonDuke University, Carl E. Ravin Advanced Imaging Labs, Department of Radiology, Medical Physics Graduate Program, Durham, North Carolina, United States.
Juan Carlos Ramirez-GiraldoSiemens Medical Solutions USA Inc., Malvern, Pennsylvania, United States.
Geoffrey D RubinDuke University, Department of Radiology, Durham, North Carolina, United States.ORCID https://orcid.org/0000-0002-3820-2500
Lynne Hurwitz KoweekDuke University, Carl E. Ravin Advanced Imaging Labs, Department of Radiology, Medical Physics Graduate Program, Durham, North Carolina, United States.
William Paul SegarsDuke University, Carl E. Ravin Advanced Imaging Labs, Department of Radiology, Medical Physics Graduate Program, Durham, North Carolina, United States.
Ehsan SameiDuke University, Carl E. Ravin Advanced Imaging Labs, Department of Radiology, Medical Physics Graduate Program, Durham, North Carolina, United States.

Funding

Precision Cardiac CT: Development of a Computational Platform for Optimizing ImagingR01HL131753 · NHLBI · DUKE UNIVERSITY · PI SAMEI, EHSAN, SEGARS, WILLIAM P · 2017 to 2020
$2.7M
NHLBI NIH HHS R01 HL131753
6 · The paper itself

Abstract

The purpose of this study was to develop a dynamic physical cardiac phantom with a realistic coronary plaque to investigate stenosis measurement accuracy under clinically relevant heart-rates. The coronary plaque model (5 mm diameter, 50% stenosis, and 32 mm long) was designed and 3D-printed with tissue equivalent materials (calcified plaque with iodine-enhanced lumen). Realistic cardiac motion was modeled by converting computational cardiac motion vectors into compression and rotation profiles executed by a commercial base cardiac phantom. The phantom was imaged on a dual-source CT system applying a retrospective gated coronary CT angiography (CCTA) protocol using synthesized motion-synchronized electrocardiogram (ECG) waveforms. Multiplanar reformatted images were reconstructed along vessel centerlines. Enhanced lumens were segmented by five independent operators. On average, stenosis measurement accuracy was 0.9% positively biased for the motion-free condition. Average measurement accuracy monotonically decreased from 0.9% positive bias for the motion-free condition to 18.5% negative bias at 90 beats per minute. Contrast-to-noise ratio, lumen circularity, and segmentation conformity also decreased monotonically with increasing heart-rate. These results demonstrate successful implementation of a base cardiac phantom with a 3D-printed coronary plaque model, relevant motion profile, and coordinated ECG waveform. They further show the utility of the model to ascertain metrics of CCTA accuracy and image quality under realistic plaque, motion, and acquisition conditions.

Indexed as

3D-printedcoronary CT angiographycoronary plaquedynamic cardiac phantomstenosis

Identifiers

PMID29376102
PMCPMC5771130

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.