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Impact of two formulas to calculate percentage diameter stenosis of coronary lesions: from stenosis models (phantom lesion model) to actual clinical lesions.
Hideo-Kajita, Alexandre; Wopperer, Samuel; Beyene, Solomon S; Meirovich, Yael F; Melaku, Gebremedhin D; Kuku, Kayode O; Brathwaite, Echo J; Ozaki, Yuichi; Dan, Kazuhiro; Torguson, Rebecca; Waksman, Ron; Garcia-Garcia, Hector M.
Afiliação
  • Hideo-Kajita A; Division of Interventional Cardiology - MedStar Cardiovascular Research Network, MedStar Washington Hospital Center, Georgetown University, Washington, USA.
  • Wopperer S; Georgetown University School of Medicine, Washington, USA.
  • Beyene SS; Division of Interventional Cardiology - MedStar Cardiovascular Research Network, MedStar Washington Hospital Center, Georgetown University, Washington, USA.
  • Meirovich YF; Division of Interventional Cardiology - MedStar Cardiovascular Research Network, MedStar Washington Hospital Center, Georgetown University, Washington, USA.
  • Melaku GD; Division of Interventional Cardiology - MedStar Cardiovascular Research Network, MedStar Washington Hospital Center, Georgetown University, Washington, USA.
  • Kuku KO; Division of Interventional Cardiology - MedStar Cardiovascular Research Network, MedStar Washington Hospital Center, Georgetown University, Washington, USA.
  • Brathwaite EJ; Division of Interventional Cardiology - MedStar Cardiovascular Research Network, MedStar Washington Hospital Center, Georgetown University, Washington, USA.
  • Ozaki Y; Division of Interventional Cardiology - MedStar Cardiovascular Research Network, MedStar Washington Hospital Center, Georgetown University, Washington, USA.
  • Dan K; Division of Interventional Cardiology - MedStar Cardiovascular Research Network, MedStar Washington Hospital Center, Georgetown University, Washington, USA.
  • Torguson R; Division of Interventional Cardiology - MedStar Cardiovascular Research Network, MedStar Washington Hospital Center, Georgetown University, Washington, USA.
  • Waksman R; Division of Interventional Cardiology - MedStar Cardiovascular Research Network, MedStar Washington Hospital Center, Georgetown University, Washington, USA.
  • Garcia-Garcia HM; Division of Interventional Cardiology - MedStar Cardiovascular Research Network, MedStar Washington Hospital Center, Georgetown University, Washington, USA. hector.m.garciagarcia@medstar.net.
Int J Cardiovasc Imaging ; 35(12): 2139-2146, 2019 Dec.
Article em En | MEDLINE | ID: mdl-31352559
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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Interpretação de Imagem Radiográfica Assistida por Computador / Angiografia Coronária / Imagens de Fantasmas / Vasos Coronários / Estenose Coronária / Modelos Cardiovasculares Tipo de estudo: Prognostic_studies Limite: Aged / Female / Humans / Male / Middle aged Idioma: En Revista: Int J Cardiovasc Imaging Assunto da revista: DIAGNOSTICO POR IMAGEM Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Interpretação de Imagem Radiográfica Assistida por Computador / Angiografia Coronária / Imagens de Fantasmas / Vasos Coronários / Estenose Coronária / Modelos Cardiovasculares Tipo de estudo: Prognostic_studies Limite: Aged / Female / Humans / Male / Middle aged Idioma: En Revista: Int J Cardiovasc Imaging Assunto da revista: DIAGNOSTICO POR IMAGEM Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Estados Unidos