Literature DB >> 30395141

Comparison of quantitative and qualitative coronary angiography: computer versus the eye.

Taner Sen1, Celal Kilit2, Mehmet Ali Astarcioglu2, Lale Dinc Asarcikli3, Tolga Aksu4, Habibe Kafes5, Afsin Parspur2, Gokhan Gozubuyuk6, Basri Amasyali2.   

Abstract

OBJECTIVE: Since visual estimation of the extent of vessel stenosis may vary between operators, we aimed in this study to investigate both inter-observer variability and consistency between the estimation of an operator and quantitative coronary analysis (QCA) measurements.
METHODS: A total of 147 elective percutaneous coronary intervention patients with 155 lesions between them were consecutively enrolled in the study. These patients were evaluated for visual estimation of lesion severity by three operators. The lesions were also evaluated with QCA by an operator who was blinded to the visual assessments. Reference diameter, minimal lumen diameter, percentage diameter of stenosis, percentage area of stenosis and diameter of lesion length from the proximal lesion-free segment to the distal lesion-free segment were calculated using a computerised QCA software program.
RESULTS: There was a moderate degree of concordance in the categories 70-89% (κ: 0.406) and 90-99% (κ: 0.5813), whereas in the categories < 50% and 50-69% there was a low degree of concordance between the visual operators (κ: 0.323 and κ: 0.261, respectively). There was a low to moderate grade of concordance between visual estimation and percentage area of stenosis by QCA (κ: 0.30) but there was no concordance between visual estimation and percentage diameter of stenosis by QCA (κ: -0.061). Also, there was a statistically significant difference between QCA parameters of percentage diameter of stenosis and percentage area of stenosis (58.4 ± 14.5 vs 80.6 ± 11.2 %, p < 0.001).
CONCLUSIONS: Visual estimation may overestimate a coronary lesion and may lead to unnecessary coronary intervention. There was low concordance in the categories < 50% and 50-69% between the visual operators. Percentage area of stenosis by QCA had a low to moderate grade of concordance with visual estimation. Percentage area of stenosis by QCA more closely reflected the visual estimation of lesion severity than percentage diameter of stenosis.

Entities:  

Keywords:  coronary angiography; coronary stenosis; quantitative coronary analysis

Mesh:

Year:  2018        PMID: 30395141      PMCID: PMC8962701          DOI: 10.5830/CVJA-2018-024

Source DB:  PubMed          Journal:  Cardiovasc J Afr        ISSN: 1015-9657            Impact factor:   1.167


  14 in total

1.  Patterns in visual interpretation of coronary arteriograms as detected by quantitative coronary arteriography.

Authors:  R M Fleming; R L Kirkeeide; R W Smalling; K L Gould
Journal:  J Am Coll Cardiol       Date:  1991-10       Impact factor: 24.094

2.  Comparison of quantitative coronary angiography to visual estimates of lesion severity pre and post PTCA.

Authors:  R K Goldberg; N S Kleiman; S T Minor; J Abukhalil; A E Raizner
Journal:  Am Heart J       Date:  1990-01       Impact factor: 4.749

3.  Serial quantitative coronary angiography and coronary events.

Authors:  W J Mack; M Xiang; R H Selzer; H N Hodis
Journal:  Am Heart J       Date:  2000-06       Impact factor: 4.749

4.  Assessing coronary stenosis. Quantitative coronary angiography versus visual estimation from cine-film or pharmacological stress perfusion images.

Authors:  M Gottsauner-Wolf; H Sochor; D Moertl; M Gwechenberger; F Stockenhuber; P Probst
Journal:  Eur Heart J       Date:  1996-08       Impact factor: 29.983

5.  Variability in the analysis of coronary arteriograms.

Authors:  T A DeRouen; J A Murray; W Owen
Journal:  Circulation       Date:  1977-02       Impact factor: 29.690

6.  Discrepancy between visual estimation and computer-assisted measurement of lesion severity before and after coronary angioplasty.

Authors:  W Desmet; J Willems; J Van Lierde; J Piessens
Journal:  Cathet Cardiovasc Diagn       Date:  1994-03

7.  Reproducibility of coronary arteriographic reading in the coronary artery surgery study (CASS).

Authors:  L D Fisher; M P Judkins; J Lesperance; A Cameron; P Swaye; T Ryan; C Maynard; M Bourassa; J W Kennedy; A Gosselin; H Kemp; D Faxon; L Wexler; K B Davis
Journal:  Cathet Cardiovasc Diagn       Date:  1982

8.  Quantitative angiography: the measurement of coronary vasomobility in the intact animal and man.

Authors:  G G Gensini; A E Kelly; B C Da Costa; P P Huntington
Journal:  Chest       Date:  1971-12       Impact factor: 9.410

9.  Relation between coronary artery stenosis assessed by visual, caliper, and computer methods and exercise capacity in patients with single-vessel coronary artery disease. The Veterans Affairs ACME Investigators.

Authors:  E D Folland; R A Vogel; P Hartigan; E R Bates; G J Beauman; T Fortin; C Boucher; A F Parisi
Journal:  Circulation       Date:  1994-05       Impact factor: 29.690

10.  Comparison of clinical interpretation with visual assessment and quantitative coronary angiography in patients undergoing percutaneous coronary intervention in contemporary practice: the Assessing Angiography (A2) project.

Authors:  Brahmajee K Nallamothu; John A Spertus; Alexandra J Lansky; David J Cohen; Philip G Jones; Faraz Kureshi; Gregory J Dehmer; Joseph P Drozda; Mary Norine Walsh; John E Brush; Gerald C Koenig; Thad F Waites; D Scott Gantt; George Kichura; Richard A Chazal; Peter K O'Brien; C Michael Valentine; John S Rumsfeld; Johan H C Reiber; Joann G Elmore; Richard A Krumholz; W Douglas Weaver; Harlan M Krumholz
Journal:  Circulation       Date:  2013-03-07       Impact factor: 29.690

View more
  1 in total

1.  Intraoperative transit time flow measurements during off-pump coronary artery bypass surgery: The impact of coronary stenosis on competitive flow.

Authors:  Frank R Halfwerk; Pien Spoor; Silvia Mariani; Rob Hagmeijer; Jan G Grandjean
Journal:  J Card Surg       Date:  2021-10-21       Impact factor: 1.778

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.