Literature DB >> 18440342

Computed tomographic coronary angiographic assessment of high-risk coronary anatomy in patients with suspected coronary artery disease and intermediate pretest probability.

Tej Sheth1, Shoaib Amlani, Mary Lou Ellins, Shamir Mehta, James Velianou, Gail Cappelli, Sean Yang, Madhu Natarajan.   

Abstract

BACKGROUND: It is unclear if computed tomographic coronary angiography (CTA), an evolving technique for the evaluation of coronary artery disease (CAD), can identify patients with high-risk coronary anatomy.
METHODS: Among patients referred for invasive angiography at Hamilton Health Sciences (Hamilton, Ontario, Canada), those with an intermediate pretest probability (25%-60% likelihood of a significant stenosis) were prospectively identified using a multivariate risk score and were studied on a 64-detector Toshiba Aquilion scanner (Toshiba Medical Systems, Tokyo, Japan) before invasive angiography. Patients with high-risk anatomy (left main, 3-vessel CAD, or 2-vessel CAD involving the proximal left anterior descending artery) or at least 1 significant stenosis were identified on CTA and invasive angiography, and the results of these modalities were compared on a per patient basis.
RESULTS: Eighty patients were enrolled in the study (mean age 56 +/- 9 years, male-female ratio 43:37). Nondiagnostic scan results were obtained in 5 patients (6%). By CTA, 13 patients had high-risk anatomy and 31 patients had at least 1 significant stenosis. For the per patient detection of high-risk anatomy, CTA had 100% sensitivity (95% CI 69%-100%), 95% specificity (95% CI 86%-95%), a positive likelihood ratio of 18.0 (95% CI 6.4-50.3), and a negative likelihood ratio of 0.05 (95% CI 0-0.072). Revascularization was performed in 100% of patients with high-risk anatomy on CTA, 83% with at least 1 significant stenosis on CTA, and 0% without a significant stenosis on CTA.
CONCLUSION: In appropriately selected patients, CTA is a highly sensitive and specific technique for the detection of high-risk anatomy and maybe a valuable method for noninvasive risk stratification.

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Year:  2008        PMID: 18440342     DOI: 10.1016/j.ahj.2007.11.035

Source DB:  PubMed          Journal:  Am Heart J        ISSN: 0002-8703            Impact factor:   4.749


  9 in total

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2.  Computer-aided stenosis detection at coronary CT angiography: effect on performance of readers with different experience levels.

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3.  3rd Guideline for Perioperative Cardiovascular Evaluation of the Brazilian Society of Cardiology.

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4. 

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Journal:  Arq Bras Cardiol       Date:  2017-07       Impact factor: 2.000

5.  Utility of 64 detector coronary computed tomographic angiography in patients with and without prior equivocal stress tests.

Authors:  Raymond H Chan; Shruti Javali; Mary Lou Ellins; Alison Montgomery; Tej Sheth
Journal:  Int J Cardiovasc Imaging       Date:  2010-06-29       Impact factor: 2.357

Review 6.  A systematic review of the clinical effectiveness of 64-slice or higher computed tomography angiography as an alternative to invasive coronary angiography in the investigation of suspected coronary artery disease.

Authors:  Daniel C Paech; Adèle R Weston
Journal:  BMC Cardiovasc Disord       Date:  2011-06-16       Impact factor: 2.298

7.  Prognostic capabilities of coronary computed tomographic angiography before non-cardiac surgery: prospective cohort study.

Authors:  Tej Sheth; Matthew Chan; Craig Butler; Benjamin Chow; Vikas Tandon; Peter Nagele; Ayesha Mitha; Marko Mrkobrada; Wojciech Szczeklik; Yang Faridah; Bruce Biccard; Lori K Stewart; Diane Heels-Ansdell; P J Devereaux
Journal:  BMJ       Date:  2015-04-22

8.  Gamma Knife Radiosurgery for Arteriovenous Malformations Using a Four-Dimensional Dynamic Volume Computed Tomography Angiography Planning System as an Alternative to Traditional Catheter Angiogram.

Authors:  Christopher P Cifarelli; John A Vargo; Todd Tenenholz; Joshua D Hack; Grenaville Guthrie; Jeffrey S Carpenter
Journal:  Cureus       Date:  2018-06-11

9.  The coronary CT angiography vision protocol: a prospective observational imaging cohort study in patients undergoing non-cardiac surgery.

Authors:  Tej Sheth; Craig Butler; Benjamin Chow; M T V Chan; Ayesha Mitha; Peter Nagele; Vikas Tandon; Lori Stewart; Michelle Graham; G Y S Choi; T Kisten; P K Woodard; Andrew Crean; Y F Abdul Aziz; G Karthikeyan; C K Chow; W Szczeklik; M Markobrada; T Mastracci; P J Devereaux
Journal:  BMJ Open       Date:  2012-07-31       Impact factor: 2.692

  9 in total

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