Literature DB >> 4061294

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

R Vas, N Eigler, C Miyazono, J M Pfaff, K J Resser, M Weiss, T Nivatpumin, J Whiting, J Forrester.   

Abstract

A leading problem with subjective interpretation of coronary angiography is high intraobserver and interobserver variability. Four experienced angiographers independently determined percent diameter narrowing of 36 stenoses using 3 methods: by subjective analysis of single-frame cine film images (film), by subjective analysis of digitized nonenhanced single-frame images (digital), and by using a semiautomated digital caliper quantification system (Corona). The reproducibility of interpretations was assessed by comparison of estimated intraclass correlation coefficients. Digital and Corona readings correlated well with subjective interpretation of film (r greater than 0.85 for both). In contrast to Corona, the angiographers systematically overestimated the magnitude of stenoses in the intermediate (50 to 75%) range. Corona markedly improved intraobserver (p less than 0.005) and interobserver (p less than 0.001) reproducibility. Corona less frequently misclassified individual observations than did film when categories of less than 50%, 50 to 75% and more than 75% diameter stenosis were used (3.7% vs 31.5%, p less than 0.001). Our results suggest that digitization of a coronary angiogram in a 512 X 512 matrix has no significant adverse effects on the perception and quantification of stenosis by angiographers. Additionally, automatic measurement of coronary stenosis has 2 major advantages: It is accurate compared with a group of experienced angiographers and for the practical purpose of clinical decision-making, it eliminates intraobserver and interobserver variability.

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Year:  1985        PMID: 4061294     DOI: 10.1016/0002-9149(85)91122-1

Source DB:  PubMed          Journal:  Am J Cardiol        ISSN: 0002-9149            Impact factor:   2.778


  7 in total

1.  Comparison of digital and cine coronary arteriography.

Authors:  J C Gurley; S E Nissen
Journal:  Int J Card Imaging       Date:  1990

2.  Effects of video frame averaging, smoothing and edge enhancement on the accuracy and precision of quantitative coronary arteriography.

Authors:  K M Kavanaugh; I M Pinto; M J McGillem; S F DeBoe; G B Mancini
Journal:  Int J Card Imaging       Date:  1990

3.  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.

Authors:  Rohan Shah; Eric Yow; William Schuyler Jones; Louis P Kohl; Andrzej S Kosinski; Udo Hoffmann; Kerry L Lee; Christopher B Fordyce; Daniel B Mark; Alicia Lowe; Pamela S Douglas; Manesh R Patel
Journal:  Am Heart J       Date:  2016-10-26       Impact factor: 4.749

4.  Computer assisted quantification of vasospasm on angiograms.

Authors:  M K Baykaner; E Ilgit; I S Keskil; M Altin; S Aykol; N Ceviker
Journal:  Acta Neurochir (Wien)       Date:  1993       Impact factor: 2.216

5.  Coronary vasomotor and clinical effects of nifedipine in effort, mixed and Prinzmental angina.

Authors:  A Polese; N De Cesare; A Bartorelli; F Fabbiocchi; A Loaldi; P Montorsi; M D Guazzi
Journal:  Int J Card Imaging       Date:  1988

6.  Assessment of regional coronary flow reserve by digital angiography in patients with coronary artery disease.

Authors:  B de Bruyne; P A Dorsaz; P A Doriot; B Meier; L Finci; W Rutishauser
Journal:  Int J Card Imaging       Date:  1988

7.  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
  7 in total

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