Accuracy of automated software-guided detection of significant coronary artery stenosis by CT angiography: Comparison with invasive catheterisation

European Radiology

Volumn 23, Issue 5, 2013, Pages 1218-1225

  Anders, Katharina ^a   Achenbach, Stephan ^a   Petit, Isabel ^a   Daniel, Werner G ^a   Uder, Michael ^a   Pflederer, Tobias ^a  

^a UNIVERSITY OF ERLANGEN NUREMBERG   (Germany)

Author keywords

Computer assisted diagnosis; Coronary angiography; Coronary artery disease; Coronary stenosis; Multidetector computed tomography

Indexed keywords

ANALYZER; ANGIOCARDIOGRAPHY; ANGIOGRAPHY; ARTICLE; AUTOMATION; CATHETERIZATION; COMPARATIVE STUDY; COMPUTED TOMOGRAPHIC ANGIOGRAPHY; COMPUTER PROGRAM; CORONARY ARTERY OBSTRUCTION; DIAGNOSTIC ACCURACY; HUMAN; MAJOR CLINICAL STUDY; PREDICTIVE VALUE; PRIORITY JOURNAL;

ADULT; AGED; ALGORITHMS; CARDIAC CATHETERIZATION; CORONARY ANGIOGRAPHY; CORONARY STENOSIS; FEMALE; HUMANS; MALE; MIDDLE AGED; OBSERVER VARIATION; PATTERN RECOGNITION, AUTOMATED; RADIOGRAPHIC IMAGE ENHANCEMENT; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SOFTWARE; SOFTWARE VALIDATION; TOMOGRAPHY, X-RAY COMPUTED;

EID: 84877125193     PISSN: 09387994     EISSN: 14321084     Source Type: Journal    
DOI: 10.1007/s00330-012-2717-6     Document Type: Article

References (11)

1. Taylor AJ, Cerqueira M, Hodgson JM, et al. (2010) 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. Circulation 122:e525-e555
2. Achenbach S, Barkhausen J, Beer M, et al. (2012) Consensus recommendations of the German Radiology Society (DRG), the German Cardiac Society (DGK) and the German Society for Pediatric Cardiology (DGPK) on the use of cardiac imaging with computed tomography and magnetic resonance imaging. Rofo 184:345-368, German
3. Cheng V, Gutstein A, Wolak A, et al. (2008) Moving beyond binary grading of coronary arterial stenoses on coronary computed tomographic angiography: insights for the imager and referring clinician. JACC Cardiovasc Imaging 1:460-471
4. Boogers MJ, Schuijf JD, Kitslaar PH, et al. (2010) Automated quantification of stenosis severity on 64-slice CT: a comparison with quantitative coronary angiography. JACC Cardiovasc Imaging 3:699-709
5. Busch S, Johnson TR, Nikolaou K, et al. (2007) Visual and automatic grading of coronary artery stenoses with 64-slice CT angiography in reference to invasive angiography. Eur Radiol 17:1445-1451
6. Dodd JD, Rieber J, Pomerantsev E, et al. (2008) Quantification of nonculprit coronary lesions: comparison of cardiac 64-MDCT and invasive coronary angiography. AJR Am J Roentgenol 191:432-438
7. Reimann AJ, Tsiflikas I, Brodoefel H, et al. (2009) Efficacy of computer aided analysis in detection of significant coronary artery stenosis in cardiac using dual source computed tomography. Int J Cardiovasc Imaging 25:195-203
8. Kang DK, Im NJ, Park SM, Lim HS (2011) CT comparison of visual and computerised quantification of coronary stenosis according to plaque composition. Eur Radiol 21:712-721
9. Khan MF, Wesarg S, Gurung J, et al. (2006) Facilitating coronary artery evaluation in MDCT using a 3D automatic vessel segmentation tool. Eur Radiol 16:1789-1795
10. Arnoldi E, Gebregziabher M, Schoepf UJ, et al. (2010) Automated computer-aided stenosis detection at coronary CT angiography: initial experience. Eur Radiol 20:1160-1167
11. Halpern EJ, Halpern DJ (2011) Diagnosis of coronary stenosis with CT angiography comparison of automated computer diagnosis with expert readings. Acad Radiol 18:324-333