Literature DB >> 31352559

Impact of two formulas to calculate percentage diameter stenosis of coronary lesions: from stenosis models (phantom lesion model) to actual clinical lesions.

Alexandre Hideo-Kajita1, Samuel Wopperer2, Solomon S Beyene1, Yael F Meirovich1, Gebremedhin D Melaku1, Kayode O Kuku1, Echo J Brathwaite1, Yuichi Ozaki1, Kazuhiro Dan1, Rebecca Torguson1, Ron Waksman1, Hector M Garcia-Garcia3,4.   

Abstract

Percentage diameter stenosis (%DS) by angiography is still commonly used to determine luminal obstruction of coronary artery disease (CAD) lesions. While visual estimation of %DS is widespread, because of high inter-operator variability, quantitative coronary arteriography (QCA) analysis is the gold standard. There are two %DS formulas: %DS1 averages the proximal and distal reference vessel diameter (RVD); %DS2 interpolates the RVD. This study aims to evaluate the difference between %DS assessed by QCA in two datasets, phantom lesion models and CAD patients. Ten phantom lesion models (PLMs) and 354 CAD lesions from the FIRST trial were assessed by QCA. In the latter, two scenarios were assessed: Scenario A (worst view), the most common approach in the clinical setting; and Scenario B (average of two complementary views), the standard core-laboratory analysis. In the PLMs, %DS1 and %DS2 mean ± standard deviation (median) was 58.5 ± 21.7 (61.6) and 58.7 ± 21.6 (61.8), respectively, with a signed difference of - 0.2% ± 0.3% (- 0.1%). In Scenario A, the mean %DS1 was 43.8 ± 9.1 (43.3) and 44.0 ± 9.1 (42 .9) in %DS2. In Scenario B, the mean %DS1 was 45.3 ± 8.8 (45.1) and 45.5 ± 9.0 (45.1) in %DS2. The signed difference was - 0.2% ± 2.4% (0.0%) and - 0.2% ± 2.1% (0.0%) in Scenario A and B, respectively. These differences between formulas ranged from - 1.2 to 0.5% for the phantom cases compared to - 17.7% to 7.7% in Scenario A and to - 15.5% to 7.1% in Scenario B. Although the overall means of the formulas provide similar results, significant lesion-level differences are observed. The use of the worst view versus the average of two views provided similar results.

Entities:  

Keywords:  %DS; CAD; Phantom models; QCA

Year:  2019        PMID: 31352559     DOI: 10.1007/s10554-019-01672-z

Source DB:  PubMed          Journal:  Int J Cardiovasc Imaging        ISSN: 1569-5794            Impact factor:   2.357


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1.  Cardiovascular imaging 2019 in the International Journal of Cardiovascular Imaging.

Authors:  Johan H C Reiber; Gabriel T R Pereira; Luis A P Dallan; Hiram G Bezerra; Johan De Sutter; Arthur E Stillman; Nico R L Van de Veire; Joachim Lotz
Journal:  Int J Cardiovasc Imaging       Date:  2020-05       Impact factor: 2.357

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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
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