B. Iung, G. Baron, and E. Butchart, A prospective survey of patients with valvular heart disease in Europe: The Euro Heart Survey on Valvular Heart Disease, European Heart Journal, vol.24, issue.13, pp.1231-1274, 2003.
DOI : 10.1016/S0195-668X(03)00201-X

C. Cunanan, C. Cabiling, and T. Dinh, Tissue characterization and calcification potential of commercial bioprosthetic heart valves, The Annals of Thoracic Surgery, vol.71, issue.5, pp.417-438, 2001.
DOI : 10.1016/S0003-4975(01)02493-6

V. Ruggieri, E. Flecher, and A. Anselmi, Long-Term Results of the Carpentier-Edwards Supraannular Aortic Valve Prosthesis, The Annals of Thoracic Surgery, vol.94, issue.4, 2012.
DOI : 10.1016/j.athoracsur.2012.05.003

URL : https://hal.archives-ouvertes.fr/hal-00905670

F. Lupinetti, J. Lemmer, and . Jr, Comparison of allografts and prosthetic valves when used for emergency aortic valve replacement for active infective endocarditis, The American Journal of Cardiology, vol.68, issue.6, p.637, 1991.
DOI : 10.1016/0002-9149(91)90357-Q

T. David, S. Armstrong, and Z. Sun, The Hancock II bioprosthesis at ten years, The Annals of Thoracic Surgery, vol.60
DOI : 10.1016/0003-4975(95)00248-J

L. Edmunds, L. Cohn, and R. Weisel, Guidelilnes for reporting morbidity and mortality after cardiac valvular operations

C. Akins, D. Miller, and I. Turina, Guidelines for reporting morbidity and mortality after cardiac valve interventions, J Thorac Cardiovasc surg, 2008.

G. Cohen, T. David, and J. Ivanov, The impact of age, coronary artery disease, and cardiac comorbidity on late survival after bioprosthetic aortic valve replacement, The Journal of Thoracic and Cardiovascular Surgery, vol.117, issue.2, pp.273-84, 1999.
DOI : 10.1016/S0022-5223(99)70423-X

K. Hammermeister, G. Sethi, and W. Henderson, A Comparison of Outcomes in Men 11 Years after Heart-Valve Replacement with a Mechanical Valve or Bioprosthesis, New England Journal of Medicine, vol.328, issue.18, p.1289, 1993.
DOI : 10.1056/NEJM199305063281801

T. David, J. Ivanov, and S. Armstrong, Late results of heart valve replacement with the Hancock II bioprosthesis, The Journal of Thoracic and Cardiovascular Surgery, vol.121, issue.2, p.268, 2001.
DOI : 10.1067/mtc.2001.112208

E. Stahle, P. Kvidal, and S. Nystrom, Long-term relative survival after primary heart valve replacement1, European Journal of Cardio-Thoracic Surgery, vol.11, issue.1, p.81, 2002.
DOI : 10.1016/S1010-7940(96)01025-1

V. Gaudiani, G. Grunkemeier, and L. Castro, The Risks and Benefits of Reoperative Aortic Valve Replacement, The Heart Surgery Forum, vol.7, issue.2, pp.170-173, 2004.
DOI : 10.1532/HSF98.20041005

T. Sundt and K. Zehr, Operative Risk of Reoperative Aortic Valve Replacement, Yearbook of Cardiology, vol.2006, pp.94-103, 2005.
DOI : 10.1016/S0145-4145(07)70120-X

N. Luciani, G. Nasso, and A. Anselmi, Repeat Valvular Operations: Bench Optimization of Conventional Surgery, The Annals of Thoracic Surgery, vol.81, issue.4, pp.1279-83, 2006.
DOI : 10.1016/j.athoracsur.2005.11.030

V. Ruggieri, R. Lenglet, N. Anselmi, and A. , Résultats de la chirurgie valvulaire aortique redux après implantation d'une bioprothèse. Expérience rennaise, Journal Chirurgie Thoracique Cardio-Vasculaire, vol.16, issue.3, pp.157-163, 2012.

P. Wenaweser, L. Buellesfeld, and U. Gerckens, Percutaneous aortic valve replacement for severe aortic regurgitation in degenerated bioprosthesis: The first valve in valve procedure using the corevalve revalving system, Catheterization and Cardiovascular Interventions, vol.47, issue.5, pp.760-764, 2007.
DOI : 10.1002/ccd.21300

K. Klaaborg, H. Egeblad, and C. Jakobsen, Transapical Transcatheter Treatment of a Stenosed Aortic Valve Bioprosthesis Using the Edwards SAPIEN Transcatheter Heart Valve, The Annals of Thoracic Surgery, vol.87, issue.6, pp.1943-1949, 2009.
DOI : 10.1016/j.athoracsur.2008.11.034

D. Attias, D. Himbert, and U. Hvass, ???Valve-in-valve??? implantation in a patient with stentless bioprosthesis and severe intraprosthetic aortic regurgitation, The Journal of Thoracic and Cardiovascular Surgery, vol.138, issue.4, pp.1020-1022, 2009.
DOI : 10.1016/j.jtcvs.2009.05.007

M. Boeckstegers, P. Nikolau, and K. , First successful transapical aortic valve implantation after aortic allograft replacement, J Thorac Cardiovasc Surg, vol.138, pp.1016-1023, 2009.

L. Dainese, M. Fusari, and P. Trabattoni, Redo in aortic homograft replacement: Transcatheter aortic valve as a valid alternative to surgical replacement, The Journal of Thoracic and Cardiovascular Surgery, vol.139, issue.6, pp.1656-1663, 2010.
DOI : 10.1016/j.jtcvs.2009.07.006

E. Ferrari, C. Marcucci, and C. Sulzer, Which available transapical transcatheter valve fits into degenerated aortic bioprostheses?, Interactive CardioVascular and Thoracic Surgery, vol.11, issue.1, pp.83-88, 2010.
DOI : 10.1510/icvts.2010.234625

URL : http://icvts.oxfordjournals.org/cgi/content/short/11/1/83

J. Webb, D. Wood, and J. Ye, Transcatheter Valve-in-Valve Implantation for Failed Bioprosthetic Heart Valves, Circulation, vol.121, issue.16, pp.1848-57, 2010.
DOI : 10.1161/CIRCULATIONAHA.109.924613

J. Hung, R. Lang, F. Flachskampf, S. S. Mcculloch, M. L. et al., 3D Echocardiography: A Review of the Current Status and Future Directions, Journal of the American Society of Echocardiography, vol.20, issue.3, pp.213-233, 2007.
DOI : 10.1016/j.echo.2007.01.010

J. B. Matthew, A. Stephan, S. Roger, and . Blumenthal, Assessment of Coronary Artery Disease by Cardiac Computed Tomography, Circulation, vol.114, pp.1761-1791, 2006.

Z. Sun, Multislice CT angiography in cardiac imaging: prospective ECG-gating or retrospective ECG-gating?, Biomedical Imaging and Intervention Journal, vol.6, issue.1, p.4, 2010.
DOI : 10.2349/biij.6.1.e4

D. Bartuschat, A parallel patch-based approach for the reduction of quantum noise in CT images. Master's Thesis of Friedrich-Alexander, 2008.

M. Mayer, A variational approach for the reduction of quantum noise in ct images

W. Veldkamp, R. Joemai, A. Van-der-molen, and J. Geleijns, Development and validation of segmentation and interpolation techniques in sinograms for metal artifact suppression in CT. Med Phys, Feb, vol.37, issue.2, pp.620-628, 2010.

O. Watzke and W. A. Kalender, A pragmatic approach to metal artifact reduction in ct: merging of metal artifact reduced images, Eur Radiol Physics, vol.14, pp.849-856, 2004.

M. Bertram, F. Rose, D. Schfer, J. Wiegert, and T. Aach, Directional interpolation of sparsely sampled cone-beam CT sinogram data, 2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano (IEEE Cat No. 04EX821)
DOI : 10.1109/ISBI.2004.1398691

J. Ling and A. C. Bovik, Smoothing low-SNR molecular images via anisotropic median-diffusion, IEEE Transactions on Medical Imaging, vol.21, issue.4, pp.377-384, 2002.
DOI : 10.1109/TMI.2002.1000261

M. J. Black, G. Sapiro, and D. H. Marimont, Robust anisotropic diffusion, IEEE Transactions on Image Processing, vol.7, issue.3, pp.412-432, 1998.
DOI : 10.1109/83.661192

J. H. Yu, W. Y. Shen-y, and . Zh, Noise reduction and edge detection via kernel anisotropic diffusion, Pattern Recognition Letters, vol.29, issue.10, pp.29-1496, 2008.
DOI : 10.1016/j.patrec.2008.03.002

A. Yezzi, Modified curvature motion for image smoothing and enhancement, IEEE Transactions on Image Processing, vol.7, issue.3, 1998.
DOI : 10.1109/83.661184

Y. Qian, Y. Zhang, and M. Morgan, A comparison of medical image segmentation methods for cerebral aneurysm computational hemodynamics, 4th International Conference, pp.901-904, 2011.

M. Brassel and E. Bretin, A modified phase field approximation for mean curvature flow with conservation of the volume, Mathematical Methods in the Applied Sciences, vol.69, issue.1, pp.34-1157
DOI : 10.1002/mma.1426

URL : https://hal.archives-ouvertes.fr/hal-00749638

R. Manniesing, M. A. Viergever, and W. J. Niessen, Vessel enhancing diffusion: A scale space representation of vessel structures, Medical Image Analysis, issue.6, pp.10-815, 2006.

R. Malladi and J. A. Sethian, Image Processing: Flows under Min/MaxCurvature and Mean Curvature. Graphical Models and Image Processing, pp.58-127, 1996.

H. Yu, M. Bennamoun, and C. S. Chua, An extension of min/max flow framework. Image and Vision Computing, pp.342-353, 2009.

M. K. Kalra, Can noise reduction filters improve low-radiation-dose chest CT images? Pilot study Radiology, pp.228-257, 2003.

A. Martinsen, H. Saether, D. Olesen, P. Wolff, and P. Skaane, Improved image quality of low-dose thoracic CT examinations with a new postprocessing software, Journal of Applied Clinical Medical Physics, vol.90, issue.1-2
DOI : 10.1120/jacmp.v11i3.3242

Y. Chen, Improving low-dose x-ray CT images by weighted intensity averaging over large-scale neighborhood Eur, J. Radiol, pp.80-122, 2011.
DOI : 10.1109/cisp.2010.5646789

A. M. Mendrik, Noise reduction in computed tomography scans using 3D anisotropic hybrid diffusion with continuous switch, IEEE Trans. Med. Imaging, pp.28-1585, 2009.

D. L. Pham, C. Xu, L. Prince, and J. , A Survey of Current Methods in Medical Image Segmentation, 1998.

P. K. Sahoo, S. Soltani, A. K. Wang, and C. Y. , A survey of thresholding techniques, Computer Vision, Graphics, and Image Processing, vol.41, issue.2, pp.233-260, 1988.
DOI : 10.1016/0734-189X(88)90022-9

T. Boskamp, D. Rinck, F. Link, B. Kummerlen, G. Stamm et al., New vessel analysis tool for morphometric quantification and visualization of vessels in CT and MRI imaging data sets, Radiographics, issue.1, pp.24287-297, 2004.

R. Adams and L. Bischof, Seeded region growing, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.16, issue.6
DOI : 10.1109/34.295913

J. Fan, D. Y. Yau, A. K. Elmagarmid, and W. Aref, Automatic image segmentation by integrating color-edge extraction and seeded region growing, IEEE Trans Image Process, vol.10, issue.10, pp.1454-66, 2001.

S. Grundfest-broniatowski, Quantitative classification of breast tumores in digitized mamograms, Medical Physics, vol.23, pp.1337-1345, 1996.

J. Cheng, S. W. Foo, and S. M. Krishnan, Watershed-Presegmented Snake for Boundary Detection and Tracking of Left Ventricle in Echocardiographic Images, IEEE Transactions on Information Technology in Biomedicine, vol.10, issue.2, pp.10-414, 2006.
DOI : 10.1109/TITB.2005.859887

A. Cristoforetti, L. Faes, and F. Ravelli, Isolation of the left atrial surface from cardiac multi-detector CT images based on marker controlled watershed segmentation, Medical Engineering & Physics, vol.30, issue.1, pp.48-58, 2008.
DOI : 10.1016/j.medengphy.2007.01.003

H. K. Hahn and H. O. Peitgen, IWT-interactive watershed transform: a hierarchical method for efficient interactive and automated segmentation of multidimensional gray-scale images, Medical Imaging 2003: Image Processing, 2003.
DOI : 10.1117/12.481097

C. Hamitouche, L. Fernandes, and M. Oliveira, Analyse d'images médicales tridimensionnelles, application a 4.7 REFERENCES [4.1]Real-time line detection through an improved Hough transform voting scheme, Pattern Recognition, vol.41, issue.1, pp.299-314, 2008.

R. C. González and U. Woods, Digital image processing, 2008.

R. N. Czerwinski and D. Jones, Line and boundary detection in speckle images, IEEE Transactions on Image Processing, vol.7, issue.12, pp.1700-1714, 1998.
DOI : 10.1109/83.730381

C. Xiao, Z. Su, and Y. Chen, A diffusion stick method for speckle suppression in ultrasonic images, Pattern Recognition Letters, vol.25, issue.16, pp.1867-1877, 2004.
DOI : 10.1016/j.patrec.2004.08.014

L. Ibáñez, The ITK Software Guide ?Second Edition, 2005.

T. Boskamp, D. Rinck, F. Link, B. K¨ummerlen, G. Stamm et al., New Vessel Analysis Tool for Morphometric Quantification and Visualization of Vessels in CT and MR Imaging Data Sets, RadioGraphics, vol.24, issue.1, pp.287-297, 2004.
DOI : 10.1148/rg.241035073

R. Adams and L. Bischof, Seeded region growing, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.16, issue.6
DOI : 10.1109/34.295913

J. Fan, D. Yau, A. Elmagarmid, and W. Aref, Automatic image segmentation by integrating color-edge extraction and seeded region growing, IEEE Trans Image Process, vol.10, issue.10, pp.1454-66, 2001.

P. Bloomfi-eld, D. Wheatley, R. Prescott, and H. Miller, Twelve-Year Comparison of a Bjork???Shiley Mechanical Heart Valve with Porcine Bioprostheses, New England Journal of Medicine, vol.324, issue.9, pp.573-579, 1991.
DOI : 10.1056/NEJM199102283240901

K. Hammermeister, G. Sethi, W. Henderson, C. Oprian, T. Kim et al., A Comparison of Outcomes in Men 11 Years after Heart-Valve Replacement with a Mechanical Valve or Bioprosthesis, New England Journal of Medicine, vol.328, issue.18, pp.1289-1296, 1993.
DOI : 10.1056/NEJM199305063281801

J. Puvimanasinghe, E. Steyerberg, and J. Takkenberg, Prognosis After Aortic Valve Replacement With a Bioprosthesis : Predictions Based on Meta-Analysis and Microsimulation, Circulation, vol.103, issue.11, pp.1535-1541, 2001.
DOI : 10.1161/01.CIR.103.11.1535

V. Ruggieri, E. Flecher, and A. Anselmi, Long-Term Results of the Carpentier-Edwards Supraannular Aortic Valve Prosthesis, The Annals of Thoracic Surgery, vol.94, issue.4, 2012.
DOI : 10.1016/j.athoracsur.2012.05.003

URL : https://hal.archives-ouvertes.fr/hal-00905670

N. Piazza, S. Bleiziffer, and G. Brockmann, Transcatheter aortic valve implantation for failing surgical aortic bioprosthetic valve: from concept to clinical application and evaluation (part 2) JACC Cardiovasc Interv Regions of interest: a slice in a classical cubic ROI (A), Cylindrical (B) and conformational (C) stent defined ROI, and illustration of the corresponding CT observations (D and E respectively) within one of the original CT slices????????????????????????, pp.733-4297, 2011.

M. Lindroos, M. Kupari, J. Heikkila, and R. Tilvis, Prevalence of aortic valve abnormalities in the elderly: An echocardiographic study of a random population sample, Journal of the American College of Cardiology, vol.21, issue.5, pp.1220-1225, 1993.
DOI : 10.1016/0735-1097(93)90249-Z

B. Iung, G. Baron, E. G. Butchart, F. Delahaye, C. Gohlke-barwolf et al., A prospective survey of patients with valvular heart disease in Europe: The Euro Heart Survey on Valvular Heart Disease, European Heart Journal, vol.24, issue.13, pp.1231-1243, 2003.
DOI : 10.1016/S0195-668X(03)00201-X

P. Kojodjojo, P. Gohil, D. Barker, P. Youssefi, T. V. Salukhe et al., Outcomes of elderly patients aged 80 and over with symptomatic, severe aortic stenosis: impact of patient's choice of refusing aortic valve replacement on survival, QJM, vol.101, issue.7, pp.567-573, 2008.
DOI : 10.1093/qjmed/hcn052

K. Accola, M. Scott, G. Palmer, P. Thompson, M. Sand et al., Surgical management of aortic valve disease in the elderly: a retrospective comparative study of valve choice using propensity score analysis, J Heart Valve Dis, vol.17, pp.355-364, 2008.

T. Eitz, D. Fritzsche, G. Kleikamp, A. Zittermann, H. Horstkotte et al., Reoperation of the Aortic Valve in Octogenarians, The Annals of Thoracic Surgery, vol.82, issue.4, pp.1385-1390, 2006.
DOI : 10.1016/j.athoracsur.2006.04.093

W. R. Jamieson, L. H. Burr, and R. Miyagishima, Re-operation for bioprosthetic aortic structural failure ??? risk assessment, European Journal of Cardio-Thoracic Surgery, vol.24, issue.6, pp.873-878, 2003.
DOI : 10.1016/S1010-7940(03)00566-9

A. Cribier, H. Eltchaninoff, A. Bash, N. Borenstein, C. Tron et al., Percutaneous Transcatheter Implantation of an Aortic Valve Prosthesis for Calcific Aortic Stenosis: First Human Case Description, Circulation, vol.106, issue.24, pp.3006-3008, 2002.
DOI : 10.1161/01.CIR.0000047200.36165.B8

E. Grube, J. Laborde, U. Gerckens, T. Felderhoff, B. Sauren et al., Percutaneous Implantation of the CoreValve Self-Expanding Valve Prosthesis in High-Risk Patients With Aortic Valve Disease: The Siegburg First-in-Man Study, Circulation, vol.114, issue.15, pp.1616-1624, 2006.
DOI : 10.1161/CIRCULATIONAHA.106.639450

E. Grube, G. Schuler, L. Buellesfeld, J. C. Laborde, U. Gerckens et al., Percutaneous Aortic Valve Replacement for Severe Aortic Stenosis in High-Risk Patients Using the Second- and Current Third-Generation Self-Expanding CoreValve Prosthesis, Journal of the American College of Cardiology, vol.50, issue.1, pp.69-76, 2007.
DOI : 10.1016/j.jacc.2007.04.047

A. Cribier, H. Eltchaninoff, C. Tron, F. Bauer, C. Agatiello et al., Early experience with percutaneous transcatheter implantation of heart valve prosthesis for the treatment of end-stage inoperable patients with calcific aortic stenosis, Journal of the American College of Cardiology, vol.43, issue.4, pp.698-703, 2004.
DOI : 10.1016/j.jacc.2003.11.026

A. Cribier, H. Eltchaninoff, C. Tron, F. Bauer, C. Agatiello et al., Treatment of Calcific Aortic Stenosis With the Percutaneous Heart Valve, Journal of the American College of Cardiology, vol.47, issue.6, pp.1214-1223, 2006.
DOI : 10.1016/j.jacc.2006.01.049

T. Walther, V. Falk, T. Dewey, J. Kempfert, F. Emrich et al., Valve-in-a-Valve Concept for Transcatheter Minimally Invasive Repeat Xenograft Implantation, Journal of the American College of Cardiology, vol.50, issue.1, pp.56-60, 2007.
DOI : 10.1016/j.jacc.2007.03.030

P. Wenaweser, L. Buellesfeld, U. Gerckens, and E. Grube, Percutaneous aortic valve replacement for severe aortic regurgitation in degenerated bioprosthesis: The first valve in valve procedure using the corevalve revalving system, Catheterization and Cardiovascular Interventions, vol.47, issue.5, pp.760-764, 2007.
DOI : 10.1002/ccd.21300

J. G. Webb, D. A. Wood, J. Ye, R. Gurvitch, J. B. Masson et al., Transcatheter Valve-in-Valve Implantation for Failed Bioprosthetic Heart Valves, Circulation, vol.121, issue.16, pp.1848-1857, 2010.
DOI : 10.1161/CIRCULATIONAHA.109.924613

Y. Zheng, M. J. Rui, and L. , Automatic Aorta Segmentation and Valve Landmark Detection in C-Arm CT: Application to Aortic Valve Implantation. MICCAI 2010, Part I, LNCS, vol.6361, pp.476-483, 2010.

I. Waechter, R. Kneser, and G. Korosoglou, Patient Specific Models for Planning and Guidance of Minimally Invasive Aortic Valve Implantation. MICCAI 2010, Part I, LNCS, vol.6361, pp.526-533, 2010.

R. N. Czerwinski and D. Jones, Line and boundary detection in speckle images, IEEE Transactions on Image Processing, vol.7, issue.12, pp.1700-1714, 1998.
DOI : 10.1109/83.730381

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.31.2693

C. Xiao, Z. Su, and Y. Chen, A diffusion stick method for speckle suppression in ultrasonic images, Pattern Recognition Letters, vol.25, issue.16, pp.1867-1877, 2004.
DOI : 10.1016/j.patrec.2004.08.014

R. C. González and U. Woods, Digital image processing, 2008.

P. Perona and J. Malik, Scale-space and edge detection using anisotropic diffusion, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.12, issue.7, pp.12-629, 1990.
DOI : 10.1109/34.56205

M. J. Black, G. Sapiro, D. Marimont, and D. Heeger, Robust anisotropic diffusion, IEEE Transactions on Image Processing, vol.7, issue.3, pp.412-432, 1998.
DOI : 10.1109/83.661192

A. Yezzi, Modified curvature motion for image smoothing and enhancement, IEEE Transactions on Image Processing, vol.7, issue.3, pp.345-352, 1998.
DOI : 10.1109/83.661184

Y. Qian, Y. Zhang, and M. Morgan, A comparison of medical image segmentation methods for cerebral aneurysm computational hemodynamics, 4th International Conference, pp.901-904, 2011.

M. Brassel and E. Bretin, A modified phase field approximation for mean curvature flow with conservation of the volume, Mathematical Methods in the Applied Sciences, vol.69, issue.1, pp.34-1157
DOI : 10.1002/mma.1426

URL : https://hal.archives-ouvertes.fr/hal-00749638

L. Ibáñez, The ITK Software Guide ?Second Edition, 2005.

T. Boskamp, D. Rinck, F. Link, B. Kümmerlen, G. Stamm et al., New Vessel Analysis Tool for Morphometric Quantification and Visualization of Vessels in CT and MR Imaging Data Sets, RadioGraphics, vol.24, issue.1, pp.24287-297, 2004.
DOI : 10.1148/rg.241035073

R. Adams and L. Bischof, Seeded region growing, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.16, issue.6, pp.641-647, 1994.
DOI : 10.1109/34.295913

J. Fan, D. Yau, A. Elmagarmid, and W. Aref, Automatic image segmentation by integrating color-edge extraction and seeded region growing, IEEE Transactions Image Processing, vol.10, issue.10, pp.1454-66, 2001.

P. Vanhoenacker, M. Heijenbrok-kal, R. Van-heste, I. Decramer, L. R. Van-hoe et al., Diagnostic Performance of Multidetector CT Angiography for Assessment of Coronary Artery Disease: Meta-analysis, Radiology, vol.244, issue.2, pp.419-428, 2007.
DOI : 10.1148/radiol.2442061218

J. Miller, C. Rochitte, M. Dewey, A. Arabab-zadeh, H. Ninuma et al., Diagnostic Performance of Coronary Angiography by 64-Row CT, New England Journal of Medicine, vol.359, issue.22, pp.2324-2336, 2008.
DOI : 10.1056/NEJMoa0806576

Z. Sun and W. Jiang, Diagnostic value of multislice computed tomography angiography in coronary artery disease: A meta-analysis, European Journal of Radiology, vol.60, issue.2, pp.279-286, 2006.
DOI : 10.1016/j.ejrad.2006.06.009

J. Hausleiter, T. Meyer, M. Hadamitzky, M. Zankl, P. Gerein et al., Non-invasive coronary computed tomographic angiography for patients with suspected coronary artery disease: the Coronary Angiography by Computed Tomography with the Use of a Submillimeter resolution (CACTUS) trial, European Heart Journal, vol.28, issue.24, pp.3034-3041, 2007.
DOI : 10.1093/eurheartj/ehm150

M. Budoff, D. Dowe, J. Jollis, M. Gitter, J. Sutherland et al., Diagnostic Performance of 64-Multidetector Row Coronary Computed Tomographic Angiography for Evaluation of Coronary Artery Stenosis in Individuals Without Known Coronary Artery Disease, Journal of the American College of Cardiology, vol.52, issue.21, pp.1724-1732, 2008.
DOI : 10.1016/j.jacc.2008.07.031

G. Mowatt, J. Cook, G. Hillis, S. Walker, C. Fraser et al., 64-Slice computed tomography angiography in the diagnosis and assessment of coronary artery disease: systematic review and meta-analysis, Heart, vol.94, issue.11, pp.1386-1393, 2008.
DOI : 10.1136/hrt.2008.145292

K. Juergens and R. Fischbach, Left ventricular function studied with MDCT, European Radiology, vol.40, issue.2, pp.342-357, 2006.
DOI : 10.1007/s00330-005-2888-5

A. Mahnken, R. Koos, M. Katoh, J. E. Wildberger, E. Spuentrup et al., Assessment of Myocardial Viability in Reperfused Acute Myocardial Infarction Using 16-Slice Computed Tomography in Comparison to Magnetic Resonance Imaging, Journal of the American College of Cardiology, vol.45, issue.12, pp.2042-2047, 2005.
DOI : 10.1016/j.jacc.2005.03.035

B. Gerber, B. Belge, G. Legros, P. Lim, A. Poncelet et al., Characterization of Acute and Chronic Myocardial Infarcts by Multidetector Computed Tomography: Comparison With Contrast-Enhanced Magnetic Resonance, Circulation, vol.113, issue.6, pp.823-833, 2006.
DOI : 10.1161/CIRCULATIONAHA.104.529511

A. Lardo, M. Cordeiro, C. Silva, L. C. Amado, R. T. George et al., Contrast-Enhanced Multidetector Computed Tomography Viability Imaging After Myocardial Infarction: Characterization of Myocyte Death, Microvascular Obstruction, and Chronic Scar, Circulation, vol.113, issue.3, pp.394-404, 2006.
DOI : 10.1161/CIRCULATIONAHA.105.521450

H. Teshima, S. Aoyagi, N. Hayashida, T. Shojima, K. Takagi et al., Dysfunction of an ATS valve in the aortic position: the first reported case caused by pannus formation, Journal of Artificial Organs, vol.9, issue.suppl II, pp.270-273, 2005.
DOI : 10.1007/s10047-005-0317-9

H. Teshima, N. Hayashida, S. Fukunaga, E. Tayama, T. Kawara et al., Usefulness of a multidetector-row computed tomography scanner for detecting pannus formation, The Annals of Thoracic Surgery, vol.77, issue.2, pp.523-526, 2004.
DOI : 10.1016/S0003-4975(03)01531-5

H. Teshima, N. Hayashida, N. Enomoto, S. Aoyagi, K. Okuda et al., Detection of pannus by multidetector-row computed tomography, The Annals of Thoracic Surgery, vol.75, issue.5, pp.1631-1633, 2003.
DOI : 10.1016/S0003-4975(02)04772-0

S. Aoyagi, S. Fukunaga, K. Arinaga, T. Shojima, and T. Ueda, Prosthetic Valve Obstruction: Diagnostic Usefulness of Cineradiography and Multidetector-Row Computed Tomography, The Thoracic and Cardiovascular Surgeon, vol.55, issue.8, pp.517-519, 2007.
DOI : 10.1055/s-2006-924712

R. Kim, J. Weinsaft, T. Callister, and J. Min, Evaluation of prosthetic valve endocarditis by 64-row multidetector computed tomography, International Journal of Cardiology, vol.120, issue.2, pp.27-29, 2007.
DOI : 10.1016/j.ijcard.2007.04.058

I. Tsai, Y. Lin, Y. Chang, Y. Fu, C. Wang et al., Correctness of multi-detector-row computed tomography for diagnosing mechanical prosthetic heart valve disorders using operative findings as a gold standard, European Radiology, vol.11, issue.4, pp.857-867, 2009.
DOI : 10.1007/s00330-008-1232-2

E. Konen, O. Goitein, M. Feinberg, Y. Eshet, E. Raanani et al., The Role of ECG-Gated MDCT in the Evaluation of Aortic and Mitral Mechanical Valves: Initial Experience, American Journal of Roentgenology, vol.191, issue.1, pp.26-31, 2008.
DOI : 10.2214/AJR.07.2951

V. Ruggieri, E. Flecher, A. Anselmi, B. Lelong, H. Corbineau et al., Long-Term Results of the Carpentier-Edwards Supraannular Aortic Valve Prosthesis, The Annals of Thoracic Surgery, vol.94, issue.4, 2012.
DOI : 10.1016/j.athoracsur.2012.05.003

URL : https://hal.archives-ouvertes.fr/hal-00905670

M. Vito and G. Ruggieri, Author) Queue SummaryReviewer Area Decision Letter

V. Giovanni, R. , M. Amedeo, A. , M. Qian et al., Transcatheter aortic valve implantation for failing surgical aortic bioprosthetic valve (Part 2), MD PhD References JACC Cardiovasc Intervention, vol.14, pp.733-775, 2011.

N. Piazza, S. Bleiziffer, and G. Brockmann, Transcatheter Aortic Valve Implantation for Failing Surgical Aortic Bioprosthetic Valve, JACC: Cardiovascular Interventions, vol.4, issue.7, pp.721-753, 2011.
DOI : 10.1016/j.jcin.2011.03.016

M. Gotzmann, A. Mugge, and W. Bojara, Transcatheter aortic valve implantation for treatment of patients with degenerated aortic bioprostheses-valve-in-valve technique, Catheterization and Cardiovascular Interventions, vol.53, issue.7, pp.1000-1006, 2010.
DOI : 10.1002/ccd.22738

S. Girard, F. Miller, and T. Orszulak, Reoperation for prosthetic aortic valve obstruction in the era of echocardiography: trends in diagnostic testing and comparison with surgical findings, Journal of the American College of Cardiology, vol.37, issue.2, pp.579-84, 2001.
DOI : 10.1016/S0735-1097(00)01113-X

A. Azadani, N. Jussaud, P. Matthews, L. Ge, T. Chuter et al., Transcatheter aortic valves inadequately relieve stenosis in small degenerated bioprostheses, Interactive CardioVascular and Thoracic Surgery, vol.11, issue.1, pp.70-77, 2010.
DOI : 10.1510/icvts.2009.225144

A. Azadani, N. Jussaud, L. Ge, S. Chitsaz, T. Chuter et al., Valve-in-valve hemodynamics of 20-mm transcatheter aortic valves in small bioprosthesis, Ann Thorac Surg, pp.548-55, 2011.

M. Adam, C. Tribouilloy, A. Mirode, A. Marek, J. Rey et al., Value and limits of single-plane transesophageal echocardiography in dysfunctions of aortic valve prosthesis