Literature DB >> 28809722

Classification for Assessing the Quality of Diagnostic Coronary Angiography.

Philippe Généreux1, Roxana Mehran, Martin B Leon, Nicolas Bettinger, Gregg W Stone.   

Abstract

Coronary angiography remains the gold standard for diagnosing obstructive coronary artery disease. However, no standardized, objective, and quantitative classification to assess the quality of coronary angiography exists. In the present report, we sought to establish a novel standardized quantitative classification for the quality of coronary angiography, taking into consideration two main parameters: coronary contrast filling and coronary sinus contrast reflux. Intraobserver and interobserver reproducibility performed among 70 angiograms and 9 readers demonstrated excellent and substantial reproducibility, respectively. The proposed classification may be useful in daily practice, clinician training, and clinical trials.

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Year:  2017        PMID: 28809722

Source DB:  PubMed          Journal:  J Invasive Cardiol        ISSN: 1042-3931            Impact factor:   2.022


  4 in total

1.  Rationale and Study Design of Differences in Cardiopulmonary Exercise Capacity According to Coronary Microvascular Dysfunction and Body Composition in Patients with Suspected Heart Failure with Preserved Ejection Fraction.

Authors:  So Ree Kim; Dong-Hyuk Cho; Mi-Na Kim; Seong-Mi Park
Journal:  Int J Heart Fail       Date:  2021-09-14

2.  The value of coronary CTA in the diagnosis of coronary artery disease.

Authors:  Li Ru; Pengxun Lan; Chengcheng Xu; Lingling Lu; Ting Chen
Journal:  Am J Transl Res       Date:  2021-05-15       Impact factor: 4.060

3.  Optimization of quantitative time-resolved 3D (4D) digital subtraction angiography in a porcine liver model.

Authors:  Ece Meram; Gabe Shaughnessy; Colin Longhurst; Carson Hoffman; Martin Wagner; Charles A Mistretta; Michael A Speidel; Paul F Laeseke
Journal:  Eur Radiol Exp       Date:  2020-07-02

Review 4.  The role of miR-320 in glucose and lipid metabolism disorder-associated diseases.

Authors:  Hengzhi Du; Yanru Zhao; Zhongwei Yin; Dao Wen Wang; Chen Chen
Journal:  Int J Biol Sci       Date:  2021-01-01       Impact factor: 6.580

  4 in total

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