Evidence map›Paper›PMID 19101820›Full record

ArticleThe international journal of cardiovascular imaging2009

Determination of optimal viewing regions for X-ray coronary angiography based on a quantitative analysis of 3D reconstructed models.

Joel A Garcia, Babak Movassaghi, Ivan P Casserly, Andrew J Klein, S-Y James Chen, John C Messenger, Adam Hansgen, Onno Wink, Bertron M Groves, John D Carroll

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Article in The international journal of cardiovascular imaging, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
4.6field-weighted citation impact, top 6% 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

9 citing papers in PubMed, 34 citations in OpenAlex.

  1. Article
  2. Viewpoint planning for quantitative coronary angiography.International journal of computer assisted radiology and surgery · 2018
    Article
  3. Article
  4. Optimized viewing angles for cardiac electrophysiology ablation procedures.International journal of computer assisted radiology and surgery · 2015
    Article
  5. Article
  6. Cardiovascular imaging 2010 in the International Journal of Cardiovascular Imaging.The international journal of cardiovascular imaging · 2011
    Review
  7. Article
  8. Review
  9. Optimization of acquisition trajectories for 3D rotational coronary venography.International journal of computer assisted radiology and surgery · 2010
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 4 institutions in 2 countries.

Joel A GarciaDenver Health Medical Center, 777 Bannock St., Denver, CO 80204, USA. joel.garcia@dhha.org
Babak Movassaghi
Ivan P Casserly
Andrew J Klein
S-Y James Chen
John C Messenger
Adam Hansgen
Onno Wink
Bertron M Groves
John D Carroll
University of Colorado Health · USPhilips (United States) · USUniversity of Colorado Anschutz Medical Campus · USUniversity of Colorado Denver · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Current expert-recommended views for coronary angiography are based on heuristic experience and have not been scientifically studied. We sought to identify optimal viewing regions for first and second order vessel segments of the coronary arteries that provide optimal diagnostic value in terms of minimizing vessel foreshortening and overlap. Using orthogonal 2D images of the coronary tree, 3D models were created from which patient-specific optimal view maps (OVM) allowing quantitative assessment of vessel foreshortening and overlap were generated. Using a novel methodology that averages 3D-based optimal projection geometries, a universal OVM was created for each individual coronary vessel segment that minimized both vessel foreshortening and overlap. A universal OVM model for each coronary segment was generated based on data from 137 patients undergoing coronary angiography. We identified viewing regions for each vessel segment achieving a mean vessel foreshortening value of 5.8 +/- 3.9% for the left coronary artery (LCA) and 5.6 +/- 3.6% for the right coronary artery (RCA). The overall mean overlap values achieved were 8.7 +/- 7.9% for the LCA and 4.6 +/- 3.2% for the RCA. This scientifically-based OVM evaluation of coronary vessel segments provides the means to facilitate acquisitions during coronary angiography and interventions that minimize imaging inaccuracies related to foreshortening and overlap, improving the accuracy, efficiency, and safety of diagnostic and interventional coronary procedures.

Indexed as

CineangiographyCoronary AngiographyImaging, Three-DimensionalModels, AnatomicModels, CardiovascularRadiographic Image Interpretation, Computer-AssistedAgedAlgorithmsComputer SimulationCoronary Artery DiseaseFemaleHumansMaleMiddle AgedPredictive Value of TestsReproducibility of Results

Identifiers

PMID19101820
OpenAlexW2066049641

What OpenQuestion holds

Textmetadata
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.