INTRODUCTION: The aim of the study was to examine the ability of a 64-slice MDCT to detect in-stent stenoses in an ex vivo model of coronary stents. METHODS: Five different stents (Liberté, Boston Scientific; Driver, Medtronic; Multi-Link Vision, Guidant; Taxus Express, Boston Scientific; Cypher, Cordis) were examined using a dynamic cardiac phantom. The stents were pulled over a vessel model that consists of a polymer tube with diameters of 3.0, 3.5, and 4.0 mm and four different degrees of stenoses (0%; 30%; 50%; 70-80%). This model was moved with a rate of 60 bpm to mimic cardiac motion. To assess the degree of artificial signal reduction (artificial reduction of attenuation (ARA)) by the different stents, attenuation values were measured in the vessel outside the stent, and in the non-stenotic vessel inside the stent. Furthermore the grade of stenosis was assessed by two clinical observers. RESULTS: Highest ARA was found for the Cypher Stent (35 HU), whereas the Liberté Stent presented the lowest ARA (16 HU). Depending on the stent and the vessel diameter, up to 87.5% of the stenoses were correctly diagnosed. In the 3.0 and 3.5 mm vessels, a nonstenotic or low-grade stenotic vessel was diagnosed as intermediate or high-grade stenosis in 22.5%, whereas in the 4.0 mm vessels, this kind of overestimation did not occur. A 50% stenosis was diagnosed as a 30% stenosis in 30%. On the other hand, high-grade stenoses were underestimated in only 10%. On a four-point scale, the average deviation from the real grade of stenosis was 0.21 for the Liberté stent, 0.54 for the Taxus Express stent, 0.29 for Driver stent, 0.62 for the Multi-Link Vision stent, and 0.37 for the Cypher stent. CONCLUSIONS: In a dynamic cardiac phantom model, high grade stenoses in vessels with a diameter of 4 mm could be reliably detected irrespective of the stent type used in this study. Vice versa, high grade stenoses (> or = 50%) could only be ruled out with certainty in vessels with a diameter of 4 mm. In smaller vessels, the ability to correctly diagnose high-grade stenoses was dependent on the type of stent and the imaging artifacts associated with it.
INTRODUCTION: The aim of the study was to examine the ability of a 64-slice MDCT to detect in-stent stenoses in an ex vivo model of coronary stents. METHODS: Five different stents (Liberté, Boston Scientific; Driver, Medtronic; Multi-Link Vision, Guidant; Taxus Express, Boston Scientific; Cypher, Cordis) were examined using a dynamic cardiac phantom. The stents were pulled over a vessel model that consists of a polymer tube with diameters of 3.0, 3.5, and 4.0 mm and four different degrees of stenoses (0%; 30%; 50%; 70-80%). This model was moved with a rate of 60 bpm to mimic cardiac motion. To assess the degree of artificial signal reduction (artificial reduction of attenuation (ARA)) by the different stents, attenuation values were measured in the vessel outside the stent, and in the non-stenotic vessel inside the stent. Furthermore the grade of stenosis was assessed by two clinical observers. RESULTS: Highest ARA was found for the Cypher Stent (35 HU), whereas the Liberté Stent presented the lowest ARA (16 HU). Depending on the stent and the vessel diameter, up to 87.5% of the stenoses were correctly diagnosed. In the 3.0 and 3.5 mm vessels, a nonstenotic or low-grade stenotic vessel was diagnosed as intermediate or high-grade stenosis in 22.5%, whereas in the 4.0 mm vessels, this kind of overestimation did not occur. A 50% stenosis was diagnosed as a 30% stenosis in 30%. On the other hand, high-grade stenoses were underestimated in only 10%. On a four-point scale, the average deviation from the real grade of stenosis was 0.21 for the Liberté stent, 0.54 for the Taxus Express stent, 0.29 for Driver stent, 0.62 for the Multi-Link Vision stent, and 0.37 for the Cypher stent. CONCLUSIONS: In a dynamic cardiac phantom model, high grade stenoses in vessels with a diameter of 4 mm could be reliably detected irrespective of the stent type used in this study. Vice versa, high grade stenoses (> or = 50%) could only be ruled out with certainty in vessels with a diameter of 4 mm. In smaller vessels, the ability to correctly diagnose high-grade stenoses was dependent on the type of stent and the imaging artifacts associated with it.
Authors: Harald Seifarth; Rainer Raupach; Stefan Schaller; Eva Maria Fallenberg; Thomas Flohr; Walter Heindel; Roman Fischbach; David Maintz Journal: Eur Radiol Date: 2005-02-12 Impact factor: 5.315
Authors: Harald Seifarth; Murat Ozgün; Rainer Raupach; Thomas Flohr; Walter Heindel; Roman Fischbach; David Maintz Journal: Invest Radiol Date: 2006-01 Impact factor: 6.016
Authors: F Cademartiri; R Marano; G Runza; N Mollet; K Nieman; G Luccichenti; M Gualerzi; L Brambilla; P Coruzzi; M Galia; M Midiri Journal: Radiol Med Date: 2005 May-Jun Impact factor: 3.469
Authors: Ahmed A Khattab; Christian W Hamm; Jochen Senges; Ralph Toelg; Volker Geist; Tassilo Bonzel; Malte Kelm; Benny Levenson; Christoph A Nienaber; Georg Sabin; Ulrich Tebbe; Steffen Schneider; Gert Richardt Journal: Clin Res Cardiol Date: 2007-02-26 Impact factor: 5.460
Authors: F Beier; M Gyöngyösi; T Raeder; E von Eckardstein-Thumb; W Sperker; P Albrecht; C Spes; D Glogar; H Mudra Journal: Clin Res Cardiol Date: 2006-07-03 Impact factor: 5.460
Authors: S Schroeder; A F Kopp; A Baumbach; C Meisner; A Kuettner; C Georg; B Ohnesorge; C Herdeg; C D Claussen; K R Karsch Journal: J Am Coll Cardiol Date: 2001-04 Impact factor: 24.094
Authors: Carlos A G Van Mieghem; Filippo Cademartiri; Nico R Mollet; Patrizia Malagutti; Marco Valgimigli; Willem B Meijboom; Francesca Pugliese; Eugene P McFadden; Jurgen Ligthart; Giuseppe Runza; Nico Bruining; Pieter C Smits; Evelyn Regar; Willem J van der Giessen; Georgios Sianos; Ron van Domburg; Peter de Jaegere; Gabriel P Krestin; Patrick W Serruys; Pim J de Feyter Journal: Circulation Date: 2006-08-07 Impact factor: 29.690
Authors: David Maintz; Harald Seifarth; Rainer Raupach; Thomas Flohr; Michael Rink; Torsten Sommer; Murat Ozgün; Walter Heindel; Roman Fischbach Journal: Eur Radiol Date: 2005-12-07 Impact factor: 5.315
Authors: Jaap M Groen; Marcel J W Greuter; R Vliegenthart; C Suess; B Schmidt; F Zijlstra; M Oudkerk Journal: Int J Cardiovasc Imaging Date: 2007-11-23 Impact factor: 2.357