Literature DB >> 27892881

Comparison of visual assessment of coronary stenosis with independent quantitative coronary angiography: Findings from the Prospective Multicenter Imaging Study for Evaluation of Chest Pain (PROMISE) trial.

Rohan Shah1, Eric Yow1, William Schuyler Jones2, Louis P Kohl3, Andrzej S Kosinski1, Udo Hoffmann4, Kerry L Lee1, Christopher B Fordyce1, Daniel B Mark2, Alicia Lowe1, Pamela S Douglas2, Manesh R Patel5.   

Abstract

BACKGROUND: The outcomes in patients by visual assessment and quantitative coronary angiography (QCA) for obstructive coronary artery disease (CAD) are not known. Our objectives were to compare visual and QCA estimates of obstructive CAD and to assess their relationship to outcomes in stable patients with symptoms of CAD.
METHODS: The PROMISE trial randomized 10,003 patients with CAD symptoms to anatomical or functional testing. Site reports of invasive angiography detailing visual stenosis and independent, blinded QCA were performed for obstructive CAD (≥50% stenosis). Disagreement between methods was determined and compared with outcomes (death, myocardial infarction, unstable angina hospitalization, or major procedural complications).
RESULTS: Of 929 patients (9.3% of PROMISE cohort) with angiograms assessed by sites and QCA, 593 (64%) had obstructive CAD per site reports, whereas 428 (46%) had stenosis ≥50% per QCA. Results differed in 177 patients (disagreement rate 19.1%, κ=0.63), of whom 171 had CAD per sites but not per QCA. One-year unadjusted Kaplan-Meier event rates were highest (5.1%) when QCA and visual assessment agreed for CAD, lowest (0.9%) when the 2 agreed for no obstructive CAD, and intermediate (3.1%) for patients who had CAD per visual assessment but not per QCA.
CONCLUSIONS: Visual estimation of angiograms results in more frequent diagnosis of obstructive CAD as compared with QCA. Concordance of results for presence or absence of obstructive CAD was associated with high and low event rates, respectively. Disagreement was associated with intermediate event rates, suggesting that cardiologists integrated clinical information into routine visual assessment of angiograms.
Copyright © 2016 Elsevier Inc. All rights reserved.

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Year:  2016        PMID: 27892881      PMCID: PMC5785086          DOI: 10.1016/j.ahj.2016.10.014

Source DB:  PubMed          Journal:  Am Heart J        ISSN: 0002-8703            Impact factor:   4.749


  16 in total

1.  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

2.  Value of visual versus central quantitative measurements of angiographic success after percutaneous transluminal coronary angioplasty. NHLBI PTCA Registry Investigators.

Authors:  D P Faxon; R Vogel; W Yeh; D R Holmes; K Detre
Journal:  Am J Cardiol       Date:  1996-05-15       Impact factor: 2.778

3.  Inter- and intra-observer variability in the qualitative categorization of coronary angiograms.

Authors:  J P Herrman; A Azar; V A Umans; E Boersma; G A von Es; P W Serruys
Journal:  Int J Card Imaging       Date:  1996-03

4.  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

5.  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

6.  Comparison between visual assessment and quantitative angiography versus fractional flow reserve for native coronary narrowings of moderate severity.

Authors:  Joshua J Fischer; Habib Samady; John A McPherson; Ian J Sarembock; Eric R Powers; Lawrence W Gimple; Michael Ragosta
Journal:  Am J Cardiol       Date:  2002-08-01       Impact factor: 2.778

7.  Does visual interpretation of the coronary arteriogram predict the physiologic importance of a coronary stenosis?

Authors:  C W White; C B Wright; D B Doty; L F Hiratza; C L Eastham; D G Harrison; M L Marcus
Journal:  N Engl J Med       Date:  1984-03-29       Impact factor: 91.245

8.  Digital quantification eliminates intraobserver and interobserver variability in the evaluation of coronary artery stenosis.

Authors:  R Vas; N Eigler; C Miyazono; J M Pfaff; K J Resser; M Weiss; T Nivatpumin; J Whiting; J Forrester
Journal:  Am J Cardiol       Date:  1985-11-01       Impact factor: 2.778

9.  Quantitative coronary arteriography: estimation of dimensions, hemodynamic resistance, and atheroma mass of coronary artery lesions using the arteriogram and digital computation.

Authors:  B G Brown; E Bolson; M Frimer; H T Dodge
Journal:  Circulation       Date:  1977-02       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

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  6 in total

1.  Central Core Laboratory versus Site Interpretation of Coronary CT Angiography: Agreement and Association with Cardiovascular Events in the PROMISE Trial.

Authors:  Michael T Lu; Nandini M Meyersohn; Thomas Mayrhofer; Daniel O Bittner; Hamed Emami; Stefan B Puchner; Borek Foldyna; Martin E Mueller; Steven Hearne; Clifford Yang; Stephan Achenbach; Quynh A Truong; Brian B Ghoshhajra; Manesh R Patel; Maros Ferencik; Pamela S Douglas; Udo Hoffmann
Journal:  Radiology       Date:  2017-11-27       Impact factor: 11.105

2.  Predictive value of the echocardiographic noninvasive myocardial work index for left ventricular reverse remodeling in patients with multivessel coronary artery disease after percutaneous coronary intervention.

Authors:  Qiang Zheng; Lin Liu; Yuanyuan Liu; Cunying Cui; Yanan Li; Ying Wang; Yanbin Hu; Minfu Bai; Danqing Huang
Journal:  Quant Imaging Med Surg       Date:  2022-07

Review 3.  Comparison of coronary angiography and intracoronary imaging with fractional flow reserve for coronary artery disease evaluation: An anatomical-functional mismatch.

Authors:  Julien Adjedj; Nikolay Stoyanov; Olivier Muller
Journal:  Anatol J Cardiol       Date:  2018-09       Impact factor: 1.596

4.  Coronary artery size as a predictor of Y-graft patency following coronary artery bypass surgery.

Authors:  Danang Himawan Limanto; Hyoung Woo Chang; Dong Jung Kim; Jun Sung Kim; Kay-Hyun Park; Cheong Lim
Journal:  Medicine (Baltimore)       Date:  2021-01-15       Impact factor: 1.817

5.  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

6.  Importance of Visual Estimation of Coronary Artery Stenoses and Use of Functional Evaluation for Appropriate Guidance of Coronary Revascularization-Multiple Operator Evaluation.

Authors:  Lucian Calmac; Nicoleta-Monica Popa-Fotea; Vlad Bataila; Vlad Ploscaru; Adrian Turea; Irina Andra Tache; Diana Stoian; Lucian Itu; Elisabeta Badila; Alexandru Scafa-Udriste; Maria Dorobantu
Journal:  Diagnostics (Basel)       Date:  2021-11-30
  6 in total

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