Literature DB >> 29340571

Comparison of Physician Visual Assessment With Quantitative Coronary Angiography in Assessment of Stenosis Severity in China.

Haibo Zhang1, Lin Mu2,3, Shuang Hu1, Brahmajee K Nallamothu4, Alexandra J Lansky5, Bo Xu1, Georgios Bouras5, David J Cohen6, John A Spertus6, Frederick A Masoudi7, Jeptha P Curtis3,8, Runlin Gao1, Junbo Ge9, Yuejin Yang1, Jing Li1, Xi Li1, Xin Zheng1, Yetong Li1, Harlan M Krumholz3,8,10, Lixin Jiang1.   

Abstract

Importance: Although physician visual assessment (PVA) of stenosis severity is a standard clinical practice to support decisions for coronary revascularization, there are concerns about its accuracy. Objective: To compare PVA with quantitative coronary angiography (QCA) as a means of assessing stenosis severity among patients undergoing percutaneous coronary intervention (PCI) in China. Design, Setting, and Participants: A cross-sectional study (2012-2013) of a random subset of 1295 patients from the China Patient-centered Evaluative Assessment of Cardiac Events (PEACE) Prospective PCI Study was carried out. The PEACE Prospective PCI study recruited a consecutive sample of patients undergoing PCI at 35 hospitals in 18 provinces of China. The coronary angiograms of this subset of participants were reviewed using QCA by 2 independent core laboratories blinded to PVA readings. Main Outcomes and Measures: Differences between PVA and QCA assessments of stenosis severity for lesions for which PCI was performed and variation of these differences among hospitals and physicians, stratified by the diagnosis of acute myocardial infarction (AMI).
Results: In patients without AMI, the mean (SD) age was 62 (10) years, and 217 (31.5%) were women; in patients with AMI, the mean (SD) age was 60 (11) years, and 153 (25.2%) were women. The mean (SD) percent diameter stenosis by PVA was 16.0% (11.5%) greater than that by QCA in patients without AMI and 10.2% (12.3%) in those with AMI (P < .001 for both comparisons). In patients without AMI, of 837 lesions with 70% or more stenosis by PVA, 427 (50.6%) were less than 70% by QCA; in patients with AMI, similar patterns were observed to a lesser extent. Among patients without AMI, only 4 (0.47%) lesions were additionally assessed with fractional flow reserve. Among 30 hospitals, the difference between PVA and QCA readings of stenosis severity varied from 7.6% (95% CI, 0.4%-14.7%) to 21.3% (95% CI, 17.1%-24.9%) among non-AMI patients. Across 57 physicians, this difference varied from 6.9% (95% CI, -1.4%-15.3%) to 26.4% (95% CI, 21.5%-31.4%). Conclusions and Relevance: For coronary lesions treated with PCI in China, PVA reported substantially higher readings of stenosis severity than QCA, with large variation across hospitals and physicians. These findings highlight the need to improve the accuracy of information used to guide treatment decisions in catheterization laboratories.

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Mesh:

Year:  2018        PMID: 29340571      PMCID: PMC5838612          DOI: 10.1001/jamainternmed.2017.7821

Source DB:  PubMed          Journal:  JAMA Intern Med        ISSN: 2168-6106            Impact factor:   21.873


  22 in total

1.  ACC/AHA guidelines for percutaneous coronary intervention (revision of the 1993 PTCA guidelines)-executive summary: a report of the American College of Cardiology/American Heart Association task force on practice guidelines (Committee to revise the 1993 guidelines for percutaneous transluminal coronary angioplasty) endorsed by the Society for Cardiac Angiography and Interventions.

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Journal:  Circulation       Date:  2001-06-19       Impact factor: 29.690

2.  Current status and development of percutaneous coronary intervention in China.

Authors:  Yong Huo
Journal:  J Zhejiang Univ Sci B       Date:  2010-08       Impact factor: 3.066

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Authors:  M J Raphael; R M Donaldson
Journal:  Lancet       Date:  1989-01-28       Impact factor: 79.321

Review 4.  Implementing Machine Learning in Radiology Practice and Research.

Authors:  Marc Kohli; Luciano M Prevedello; Ross W Filice; J Raymond Geis
Journal:  AJR Am J Roentgenol       Date:  2017-01-26       Impact factor: 3.959

5.  Assessment of short-, medium-, and long-term variations in arterial dimensions from computer-assisted quantitation of coronary cineangiograms.

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Journal:  Circulation       Date:  1985-02       Impact factor: 29.690

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Authors:  T A DeRouen; J A Murray; W Owen
Journal:  Circulation       Date:  1977-02       Impact factor: 29.690

7.  Accuracy and reproducibility of visual coronary stenosis estimates using information from multiple observers.

Authors:  W G Kussmaul; R L Popp; J Norcini
Journal:  Clin Cardiol       Date:  1992-03       Impact factor: 2.882

8.  Revascularization decisions in patients with stable angina and intermediate lesions: results of the international survey on interventional strategy.

Authors:  Gabor G Toth; Balint Toth; Nils P Johnson; Frederic De Vroey; Luigi Di Serafino; Stylianos Pyxaras; Dan Rusinaru; Giuseppe Di Gioia; Mariano Pellicano; Emanuele Barbato; Carlos Van Mieghem; Guy R Heyndrickx; Bernard De Bruyne; William Wijns
Journal:  Circ Cardiovasc Interv       Date:  2014-10-21       Impact factor: 6.546

9.  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

10.  The china patient-centered evaluative assessment of cardiac events (PEACE) prospective study of percutaneous coronary intervention: Study design.

Authors:  Xue Du; Yi Pi; Rachel P Dreyer; Jing Li; Xi Li; Nicholas S Downing; Li Li; Fang Feng; Lijuan Zhan; Haibo Zhang; Wenchi Guan; Xiao Xu; Shu-Xia Li; Zhenqiu Lin; Frederick A Masoudi; John A Spertus; Harlan M Krumholz; Lixin Jiang
Journal:  Catheter Cardiovasc Interv       Date:  2016-03-04       Impact factor: 2.692

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  13 in total

1.  Middle-aged man who could not afford an angioplasty.

Authors:  Vivek Podder; Amy Price; Madhava Sai Sivapuram; Rakesh Biswas
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2.  Severely Impaired Renal Function in Unilateral Atherosclerotic Renal Artery Stenosis Indicated by Renal Slow Perfusion.

Authors:  Hu Ai; Hui-Ping Zhang; Guo-Jian Yang; Nai-Xin Zheng; Guo-Dong Tang; Hui Li; Qi Zhou; Jun-Hong Ren; Ying Zhao; Fu-Cheng Sun
Journal:  Int J Gen Med       Date:  2020-10-14

3.  Accuracy of 3-dimensional and 2-dimensional quantitative coronary angiography for predicting physiological significance of coronary stenosis: a FAVOR II substudy.

Authors:  Daixin Ding; Junqing Yang; Jelmer Westra; Yundai Chen; Yunxiao Chang; Martin Sejr-Hansen; Su Zhang; Evald H Christiansen; Niels R Holm; Bo Xu; Shengxian Tu
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4.  Coronary computed tomography angiography equals invasive angiography for the prediction of coronary revascularization.

Authors:  Mariusz Dębski; Mariusz Kruk; Sebastian Bujak; Zofia Dzielińska; Marcin Demkow; Cezary Kępka
Journal:  Postepy Kardiol Interwencyjnej       Date:  2019-05-05       Impact factor: 1.426

5.  Deep learning segmentation of major vessels in X-ray coronary angiography.

Authors:  Su Yang; Jihoon Kweon; Jae-Hyung Roh; Jae-Hwan Lee; Heejun Kang; Lae-Jeong Park; Dong Jun Kim; Hyeonkyeong Yang; Jaehee Hur; Do-Yoon Kang; Pil Hyung Lee; Jung-Min Ahn; Soo-Jin Kang; Duk-Woo Park; Seung-Whan Lee; Young-Hak Kim; Cheol Whan Lee; Seong-Wook Park; Seung-Jung Park
Journal:  Sci Rep       Date:  2019-11-15       Impact factor: 4.379

Review 6.  Contemporary Cardiac MRI in Chronic Coronary Artery Disease.

Authors:  Michalis Kolentinis; Melanie Le; Eike Nagel; Valentina O Puntmann
Journal:  Eur Cardiol       Date:  2020-06-15

7.  Functional assessment of myocardial ischaemia by intracoronary ECG.

Authors:  Marius Reto Bigler; Michael Stoller; Fabien Praz; George C M Siontis; Raphael Grossenbacher; Christine Tschannen; Christian Seiler
Journal:  Open Heart       Date:  2021-01

8.  A New Method for Detecting Myocardial Ischemia Based on ECG T-Wave Area Curve (TWAC).

Authors:  Ronghua Li; Xiaoye Zhao; Yinglan Gong; Jucheng Zhang; Ruiqing Dong; Ling Xia
Journal:  Front Physiol       Date:  2021-03-31       Impact factor: 4.566

9.  Artificial intelligence stenosis diagnosis in coronary CTA: effect on the performance and consistency of readers with less cardiovascular experience.

Authors:  Xianjun Han; Nan Luo; Lixue Xu; Jiaxin Cao; Ning Guo; Yi He; Min Hong; Xibin Jia; Zhenchang Wang; Zhenghan Yang
Journal:  BMC Med Imaging       Date:  2022-02-17       Impact factor: 1.930

10.  Vessel segmentation for X-ray coronary angiography using ensemble methods with deep learning and filter-based features.

Authors:  Zijun Gao; Lu Wang; Reza Soroushmehr; Alexander Wood; Jonathan Gryak; Brahmajee Nallamothu; Kayvan Najarian
Journal:  BMC Med Imaging       Date:  2022-01-19       Impact factor: 1.930

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