Evidence map›Paper›PMID 11482706›Full record

ArticleInternational journal of cardiac imaging2000

3D coronary reconstruction from routine single-plane coronary angiograms: clinical validation and quantitative analysis of the right coronary artery in 100 patients.

J C Messenger, S Y Chen, J D Carroll, J E Burchenal, K Kioussopoulos, B M Groves

Abstract readValidation Study
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In one paragraph

Article in International journal of cardiac imaging, 2000. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
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13citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

13 citing papers in PubMed.

  1. Article
  2. 3D localization from 2D X-ray projection.International journal of computer assisted radiology and surgery · 2022
    Article
  3. Article
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  9. Optimization of acquisition trajectories for 3D rotational coronary venography.International journal of computer assisted radiology and surgery · 2010
    Review
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  11. Article
  12. Three-dimensional analysis of in vivo coronary stent--coronary artery interactions.The international journal of cardiovascular imaging · 2004
    Article
  13. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

J C MessengerDenver VA Medical Center, Colorado, USA.
S Y Chen
J D Carroll
J E Burchenal
K Kioussopoulos
B M Groves

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCurrent coronary angiographic techniques display complex three-dimensional (3D) coronary structures in two dimensions (2D). We have developed a 3D reconstruction (3DR) algorithm using standard single-plane angiographic images that allows for 3D display of coronary structures. The purpose of this study was to validate our 3DR algorithm and quantify anatomic characteristics of the right coronary artery (RCA) in vivo.

methodsAccuracy and reproducibility studies were performed using 3DRs of a coronary phantom and in vivo following 3DRs in 40 patients. The anatomic features of the RCA were then quantified in 100 patients.

resultsComparison of length and bifurcation angles (BA) from the phantom to the 3DRs revealed good accuracy and correlation for both (r = 0.95 and 0.93 respectively), with diameter error of < 7%. In vivo, the average root mean square (RMS) error in the spatial coordinates of the vessel centerlines was 3.12 +/- 0.77 and 3.16 +/- 0.75 mm in 20 left coronary arteries (LCA) and 20 RCAs respectively. Interobserver average RMS error was 3.47 +/- 1.96 mm and intraobserver average RMS error was 3.02 +/- 1.07 and 3.44 +/- 1.57 mm for two different operators (p = NS). The average RCA length was 10.2 +/- 1.7 cm, average radius of curvature (ROC) was 52 +/- 9 degrees, and the average 3D bifurcation angle of the posterior descending artery (PDA) from the RCA was 55 +/- 22 degrees. Foreshortening (FS) of the segments of the RCA in three 'standard' projections ranged from 0-60, 0-75, and 0-82% respectively.

conclusionsUsing our 3DR algorithm patient-specific anatomic characteristics can be accurately displayed and quantified, expanding the information that can be derived from routine coronary angiography.

Indexed as

AlgorithmsCoronary AngiographyCoronary DiseaseCoronary VesselsFemaleHumansMaleObserver VariationPhantoms, ImagingRadiographic Image EnhancementReproducibility of ResultsSensitivity and Specificity

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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.