Literature DB >> 8799236

Effectiveness of nuclear cardiology training guidelines: a comparison of trainees with experienced readers.

R J Golub1, J R McClellan, S D Herman, M I Travin, G M Kline, P W Aitken, J I Baron, A W Ahlberg, G V Heller.   

Abstract

BACKGROUND: To evaluate the effectiveness of published nuclear cardiology training guidelines, the diagnostic accuracy of image interpretation by nuclear cardiology trainees was compared with that of experienced nuclear cardiologists. METHODS AND
RESULTS: The accuracy of three experienced nuclear cardiologists and three trainees with level II experience following Society of Nuclear Medicine/American College of Cardiology/American Society of Nuclear Cardiology guidelines in the interpretation of 114 exercise 99mTc-labeled sestamibi single-photon emission computed tomographic imaging studies was evaluated. Studies were selected randomly and included patients with less than 5% likelihood of coronary artery disease, as well as patients with angiographically demonstrated single and multivessel disease. Studies were interpreted by each reader without knowledge of clinical or exercise data. Each reader classified perfusion as normal or abnormal. Accuracy was assessed according to sensitivity, normalcy rate, and predictive accuracy. In addition, the ability of experienced readers and trainees to identify abnormal perfusion in patients with multivessel disease was compared. Trainees had high accuracy, comparable to experienced readers for sensitivity, normalcy rate, and predictive accuracy, as well as the ability to identify abnormal perfusion in patients with multivessel disease. In all categories, experienced interpretors demonstrated a trend toward greater accuracy with less observer variability than did trainees.
CONCLUSION: Structured training in nuclear cardiology following Society of Nuclear Medicine/American College of Cardiology/American Society of Nuclear Cardiology guidelines during clinical cardiology fellowship is effective, and trainees possess the skills to interpret myocardial perfusion images accurately. Interpretive skills can be expected to improve further with experience.

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Year:  1996        PMID: 8799236     DOI: 10.1016/s1071-3581(96)90003-3

Source DB:  PubMed          Journal:  J Nucl Cardiol        ISSN: 1071-3581            Impact factor:   5.952


  10 in total

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  10 in total
  9 in total

1.  Visual assessment of left ventricular perfusion and function with electrocardiography-gated SPECT has high intraobserver and interobserver reproducibility among experienced nuclear cardiologists and cardiology trainees.

Authors:  Peter G Danias; Alan W Ahlberg; Mark I Travin; Nicholas C Mahr; Joseph E Abreu; Dominic Marini; April Mann; Jeffrey F Mather; William E Boden; Gary V Heller
Journal:  J Nucl Cardiol       Date:  2002 May-Jun       Impact factor: 5.952

2.  The primacy of our trainees.

Authors:  B L Zaret
Journal:  J Nucl Cardiol       Date:  1996 Mar-Apr       Impact factor: 5.952

Review 3.  Are separate normal data files required for quantitative pharmacologic stress radionuclide myocardial perfusion imaging?

Authors:  F J Wackers
Journal:  J Nucl Cardiol       Date:  1996 Nov-Dec       Impact factor: 5.952

4.  Who is interpreting nuclear cardiology studies in the United States, and what are the requirements for privileges? A national survey of institutional policies from 80 major medical centers.

Authors:  V L Sorrell; W C Reeves
Journal:  J Nucl Cardiol       Date:  1997 Jul-Aug       Impact factor: 5.952

5.  Interpretive reproducibility of stress Tc-99m sestamibi tomographic myocardial perfusion imaging.

Authors:  R J Golub; A W Ahlberg; J R McClellan; S D Herman; M I Travin; J F Mather; P W Aitken; J I Baron; G V Heller
Journal:  J Nucl Cardiol       Date:  1999 May-Jun       Impact factor: 5.952

6.  Prediction of revascularization after myocardial perfusion SPECT by machine learning in a large population.

Authors:  Reza Arsanjani; Damini Dey; Tigran Khachatryan; Aryeh Shalev; Sean W Hayes; Mathews Fish; Rine Nakanishi; Guido Germano; Daniel S Berman; Piotr Slomka
Journal:  J Nucl Cardiol       Date:  2014-12-06       Impact factor: 5.952

7.  Two-position supine/prone myocardial perfusion SPECT (MPS) imaging improves visual inter-observer correlation and agreement.

Authors:  Reza Arsanjani; Sean W Hayes; Mathews Fish; Aryeh Shalev; Rine Nakanishi; Louise E J Thomson; John D Friedman; Guido Germano; Daniel S Berman; Piotr Slomka
Journal:  J Nucl Cardiol       Date:  2014-05-08       Impact factor: 5.952

8.  Improved accuracy of myocardial perfusion SPECT for the detection of coronary artery disease using a support vector machine algorithm.

Authors:  Reza Arsanjani; Yuan Xu; Damini Dey; Matthews Fish; Sharmila Dorbala; Sean Hayes; Daniel Berman; Guido Germano; Piotr Slomka
Journal:  J Nucl Med       Date:  2013-03-12       Impact factor: 10.057

9.  Improved accuracy of myocardial perfusion SPECT for detection of coronary artery disease by machine learning in a large population.

Authors:  Reza Arsanjani; Yuan Xu; Damini Dey; Vishal Vahistha; Aryeh Shalev; Rine Nakanishi; Sean Hayes; Mathews Fish; Daniel Berman; Guido Germano; Piotr J Slomka
Journal:  J Nucl Cardiol       Date:  2013-05-24       Impact factor: 5.952

  9 in total

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