Literature DB >> 23716291

Learning curve in multidetector CT coronary angiography (MDCT-CA).

Roberto Malagò1, Andrea Pezzato, Camilla Barbiani, Michela Tezza, Giuseppe Sala, Ugolino Alfonsi, Roberto Pozzi Mucelli.   

Abstract

PURPOSE: Coronary angiography using multidetector computed tomography (MDCT-CA) is a recent technique for the nonivasive study of coronary arteries. This study assessed the diagnostic accuracy of coronary artery stenosis evaluation obtained by three readers at different levels of training or at different points of the learning curve proposed by the international guidelines.
MATERIALS AND METHODS: Three radiologists in training with different levels of experience in MDCT-CA scored 50 cases at various time points of the learning curve: baseline, 4 weeks, 8 weeks and 6 months. The trainee radiologists evaluated the degree of stenosis on each coronary segment, and overall accuracy was calculated on a per-segment, pervessel and per-patient basis.
RESULTS: All readers improved analysis accuracy per segment (range, 73-90%); sensitivity reached 45% per segment, 84% per vessel and 93% per patient; specificity was 99% per segment and vessel and 98% per patient. Positive and negative predictive values increased to 94% and 92%, respectively.
CONCLUSIONS: Although all readers improved in diagnostic performance with growing experience with MDCT-CA, a longer training period may be necessary to achieve adequate levels of expertise in MDCT-CA to be able to perform as independent readers.

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Year:  2013        PMID: 23716291     DOI: 10.1007/s11547-013-0935-x

Source DB:  PubMed          Journal:  Radiol Med        ISSN: 0033-8362            Impact factor:   3.469


  13 in total

1.  Noninvasive coronary angiography by retrospectively ECG-gated multislice spiral CT.

Authors:  S Achenbach; S Ulzheimer; U Baum; M Kachelriess; D Ropers; T Giesler; W Bautz; W G Daniel; W A Kalender; W Moshage
Journal:  Circulation       Date:  2000-12-05       Impact factor: 29.690

2.  Effects of experience and training on diagnostic accuracy.

Authors:  Robert Brammer
Journal:  Psychol Assess       Date:  2002-03

3.  [Normal anatomy of the vessels of the heart with 16-row multislice computed tomography].

Authors:  Filippo Cademartiri; Riccardo Marano; Giacomo Luccichenti; Nico Mollet; Koen Nieman; Pim J De Feyter; Gabriel P Krestin; Lorenzo Bonomo
Journal:  Radiol Med       Date:  2004 Jan-Feb       Impact factor: 3.469

4.  ACCF/SCCT/ACR/AHA/ASE/ASNC/NASCI/SCAI/SCMR 2010 appropriate use criteria for cardiac computed tomography. A report of the American College of Cardiology Foundation Appropriate Use Criteria Task Force, the Society of Cardiovascular Computed Tomography, the American College of Radiology, the American Heart Association, the American Society of Echocardiography, the American Society of Nuclear Cardiology, the North American Society for Cardiovascular Imaging, the Society for Cardiovascular Angiography and Interventions, and the Society for Cardiovascular Magnetic Resonance.

Authors:  Allen J Taylor; Manuel Cerqueira; John McB Hodgson; Daniel Mark; James Min; Patrick O'Gara; Geoffrey D Rubin; Christopher M Kramer; Daniel Berman; Alan Brown; Farooq A Chaudhry; Ricardo C Cury; Milind Y Desai; Andrew J Einstein; Antoinette S Gomes; Robert Harrington; Udo Hoffmann; Rahul Khare; John Lesser; Christopher McGann; Alan Rosenberg; Robert Schwartz; Marc Shelton; Gerald W Smetana; Sidney C Smith
Journal:  J Am Coll Cardiol       Date:  2010-11-23       Impact factor: 24.094

Review 5.  Cardiac computed tomography: indications, applications, limitations, and training requirements: report of a Writing Group deployed by the Working Group Nuclear Cardiology and Cardiac CT of the European Society of Cardiology and the European Council of Nuclear Cardiology.

Authors:  Stephen Schroeder; Stephan Achenbach; Frank Bengel; Christof Burgstahler; Filippo Cademartiri; Pim de Feyter; Richard George; Philipp Kaufmann; Andreas F Kopp; Juhani Knuuti; Dieter Ropers; Joanne Schuijf; Laurens F Tops; Jeroen J Bax
Journal:  Eur Heart J       Date:  2007-12-15       Impact factor: 29.983

6.  Learning curve for coronary CT angiography: what constitutes sufficient training?

Authors:  Francesca Pugliese; M G Myriam Hunink; Katarzyna Gruszczynska; Filippo Alberghina; Roberto Malagó; Niels van Pelt; Nico R Mollet; Filippo Cademartiri; Annick C Weustink; Willem B Meijboom; Cilia L M Witteman; Pim J de Feyter; Gabriel P Krestin
Journal:  Radiology       Date:  2009-05       Impact factor: 11.105

7.  Reliable noninvasive coronary angiography with fast submillimeter multislice spiral computed tomography.

Authors:  Koen Nieman; Filippo Cademartiri; Pedro A Lemos; Rolf Raaijmakers; Peter M T Pattynama; Pim J de Feyter
Journal:  Circulation       Date:  2002-10-15       Impact factor: 29.690

8.  Stress-ECG vs. CT coronary angiography for the diagnosis of coronary artery disease: a "real-world" experience.

Authors:  E Maffei; A Palumbo; C Martini; A Cuttone; F Ugo; E Emiliano; A Menozzi; L Vignali; V Brambilla; P Coruzzi; A Weustink; N Mollet; D Ardissino; C Reverberi; G Crisi; F Cademartiri
Journal:  Radiol Med       Date:  2009-11-09       Impact factor: 3.469

9.  Diagnostic performance of coronary CT angiography by using different generations of multisection scanners: single-center experience.

Authors:  Francesca Pugliese; Nico R Mollet; M G Myriam Hunink; Filippo Cademartiri; Koen Nieman; Ron T van Domburg; Willem B Meijboom; Carlos Van Mieghem; Annick C Weustink; Marcel L Dijkshoorn; Pim J de Feyter; Gabriel P Krestin
Journal:  Radiology       Date:  2008-01-07       Impact factor: 11.105

10.  Prevalence of anatomical variants and coronary anomalies in 543 consecutive patients studied with 64-slice CT coronary angiography.

Authors:  Filippo Cademartiri; Ludovico La Grutta; Roberto Malagò; Filippo Alberghina; Willem B Meijboom; Francesca Pugliese; Erica Maffei; Anselmo Alessandro Palumbo; Annachiara Aldrovandi; Michele Fusaro; Valerio Brambilla; Paolo Coruzzi; Massimo Midiri; Nico R A Mollet; Gabriel P Krestin
Journal:  Eur Radiol       Date:  2008-02-02       Impact factor: 5.315

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  1 in total

1.  Outcomes of anatomical vs. functional testing for coronary artery disease : Lessons from the PROMISE trial.

Authors:  R Shah; B Foldyna; U Hoffmann
Journal:  Herz       Date:  2016-08       Impact factor: 1.443

  1 in total

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