Quantitative assessment of the stent/scaffold strut embedment analysis by optical coherence tomography

International Journal of Cardiovascular Imaging

Volumn 32, Issue 6, 2016, Pages 871-883

  Sotomi, Yohei ^a   Tateishi, Hiroki ^b   Suwannasom, Pannipa ^a,b,c   Dijkstra, Jouke ^d   Eggermont, Jeroen ^d   Liu, Shengnan ^d   Tenekecioglu, Erhan ^b   Zheng, Yaping ^b   Abdelghani, Mohammad ^a   Cavalcante, Rafael ^b   de Winter, Robbert J ^a   Wykrzykowska, Joanna J ^a   Onuma, Yoshinobu ^b   Serruys, Patrick W ^e   Kimura, Takeshi ^f  

^a UNIVERSITY OF AMSTERDAM   (Netherlands)

^b ERASMUS MEDICAL CENTER   (Netherlands)

^c Faculty of Medicine Chiang Mai University   (Thailand)

^d LEIDEN UNIVERSITY MEDICAL CENTER   (Netherlands)

^e IMPERIAL COLLEGE LONDON   (United Kingdom)

^f KYOTO UNIVERSITY HOSPITAL   (Japan)

Author keywords

Metallic stent; Polymeric scaffold; Reproducibility; Strut embedment

Indexed keywords

ALGORITHM; ARTICLE; BIORESORBABLE VASCULAR STENT; COMPUTER PROGRAM; CONTROLLED STUDY; CORRELATION COEFFICIENT; EVEROLIMUS ELUTING CORONARY STENT; INTER-OBSERVER REPRODUCIBILITY; INTRA-OBSERVER REPRODUCIBILITY; KAPPA STATISTICS; OPTICAL COHERENCE TOMOGRAPHY; QUANTITATIVE ANALYSIS; REPRODUCIBILITY; ADVERSE EFFECTS; COMPUTER ASSISTED DIAGNOSIS; CORONARY ARTERY DISEASE; CORONARY BLOOD VESSEL; DEVICES; DIAGNOSTIC IMAGING; FEASIBILITY STUDY; HUMAN; OBSERVER VARIATION; PERCUTANEOUS CORONARY INTERVENTION; PREDICTIVE VALUE; PROCEDURES; PROSTHESIS DESIGN; RANDOMIZED CONTROLLED TRIAL (TOPIC); SOFTWARE; STENT; TREATMENT OUTCOME;

ALGORITHMS; CORONARY ARTERY DISEASE; CORONARY VESSELS; FEASIBILITY STUDIES; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; OBSERVER VARIATION; PERCUTANEOUS CORONARY INTERVENTION; PREDICTIVE VALUE OF TESTS; PROSTHESIS DESIGN; RANDOMIZED CONTROLLED TRIALS AS TOPIC; REPRODUCIBILITY OF RESULTS; SOFTWARE; STENTS; TOMOGRAPHY, OPTICAL COHERENCE; TREATMENT OUTCOME;

EID: 84959096812     PISSN: 15695794     EISSN: 15730743     Source Type: Journal    
DOI: 10.1007/s10554-016-0856-6     Document Type: Article

References (23)

1. Serruys PW, Suwannasom P, Nakatani S, Onuma Y (2015) Snowshoe versus ice skate for scaffolding of disrupted vessel wall. JACC Cardiovasc Interv 8(7):910–913. doi:10.1016/j.jcin.2015.04.005
2. Methe H, Balcells M, Alegret Mdel C, Santacana M, Molins B, Hamik A, Jain MK, Edelman ER (2007) Vascular bed origin dictates flow pattern regulation of endothelial adhesion molecule expression. Am J Physiol Heart Circ Physiol 292(5):H2167–H2175. doi:10.1152/ajpheart.00403.2006
3. Jimenez JM, Davies PF (2009) Hemodynamically driven stent strut design. Ann Biomed Eng 37(8):1483–1494. doi:10.1007/s10439-009-9719-9
4. Bourantas CV, Papafaklis MI, Kotsia A, Farooq V, Muramatsu T, Gomez-Lara J, Zhang YJ, Iqbal J, Kalatzis FG, Naka KK, Fotiadis DI, Dorange C, Wang J, Rapoza R, Garcia-Garcia HM, Onuma Y, Michalis LK, Serruys PW (2014) Effect of the endothelial shear stress patterns on neointimal proliferation following drug-eluting bioresorbable vascular scaffold implantation: an optical coherence tomography study. JACC Cardiovasc Interv 7(3):315–324. doi:10.1016/j.jcin.2013.05.034
5. Schwartz RS, Huber KC, Murphy JG, Edwards WD, Camrud AR, Vlietstra RE, Holmes DR (1992) Restenosis and the proportional neointimal response to coronary artery injury: results in a porcine model. J Am Coll Cardiol 19(2):267–274
6. Gunn J, Arnold N, Chan KH, Shepherd L, Cumberland DC, Crossman DC (2002) Coronary artery stretch versus deep injury in the development of in-stent neointima. Heart 88(4):401–405
7. Schwartz RS, Chronos NA, Virmani R (2004) Preclinical restenosis models and drug-eluting stents: still important, still much to learn. J Am Coll Cardiol 44(7):1373–1385. doi:10.1016/j.jacc.2004.04.060
8. Kawamoto H, Panoulas VF, Sato K, Miyazaki T, Naganuma T, Sticchi A, Figini F, Latib A, Chieffo A, Carlino M, Montorfano M, Colombo A (2015) Impact of strut width in periprocedural myocardial infarction: a propensity-matched comparison between bioresorbable scaffolds and the first-generation sirolimus-eluting stent. JACC Cardiovasc Interv 8(7):900–909. doi:10.1016/j.jcin.2015.02.011
9. Ormiston JA, Webber B, Ubod B, Darremont O, Webster MW (2015) An independent bench comparison of two bioresorbable drug-eluting coronary scaffolds (Absorb and DESolve) with a durable metallic drug-eluting stent (ML8/Xpedition). EuroIntervention 11(1):60–67. doi:10.4244/EIJY15M02_03
10. Kawamoto T, Okura H, Koyama Y, Toda I, Taguchi H, Tamita K, Yamamuro A, Yoshimura Y, Neishi Y, Toyota E, Yoshida K (2007) The relationship between coronary plaque characteristics and small embolic particles during coronary stent implantation. J Am Coll Cardiol 50(17):1635–1640. doi:10.1016/j.jacc.2007.05.050
11. Koskinas KC, Chatzizisis YS, Antoniadis AP, Giannoglou GD (2012) Role of endothelial shear stress in stent restenosis and thrombosis: pathophysiologic mechanisms and implications for clinical translation. J Am Coll Cardiol 59(15):1337–1349. doi:10.1016/j.jacc.2011.10.903
12. Papafaklis MI, Bourantas CV, Farooq V, Diletti R, Muramatsu T, Zhang Y, Fotiadis DI, Onuma Y, Garcia Garcia HM, Michalis LK, Serruys PW (2013) In vivo assessment of the three-dimensional haemodynamic micro-environment following drug-eluting bioresorbable vascular scaffold implantation in a human coronary artery: fusion of frequency domain optical coherence tomography and angiography. EuroIntervention 9(7):890. doi:10.4244/EIJV9I7A147
13. Mejia J, Ruzzeh B, Mongrain R, Leask R, Bertrand OF (2009) Evaluation of the effect of stent strut profile on shear stress distribution using statistical moments. Biomed Eng Online 8:8. doi:10.1186/1475-925x-8-8
14. Nakatani S, Sotomi Y, Ishibashi Y, Grundeken MJ, Tateishi H, Tenekecioglu E, Zeng Y, Suwannasom P, Regar E, Radu MD, Raber L, Bezerra H, Costa MA, Fitzgerald P, Prati F, Costa RA, Dijkstra J, Kimura T, Kozuma K, Tanabe K, Akasaka T, Di Mario C, Serruys PW, Onuma Y (2015) Comparative analysis method of permanent metallic stents (XIENCE) and bioresorbable poly-L-lactic (PLLA) scaffolds (Absorb) on optical coherence tomography at baseline and follow-up. EuroIntervention. doi:10.4244/eijy15m10_03
15. Kim JS, Ha J, Kim BK, Shin DH, Ko YG, Choi D, Jang Y, Hong MK (2014) The relationship between post-stent strut apposition and follow-up strut coverage assessed by a contour plot optical coherence tomography analysis. JACC Cardiovasc Interv 7(6):641–651. doi:10.1016/j.jcin.2013.12.205
16. Kimura T, Kozuma K, Tanabe K, Nakamura S, Yamane M, Muramatsu T, Saito S, Yajima J, Hagiwara N, Mitsudo K, Popma JJ, Serruys PW, Onuma Y, Ying S, Cao S, Staehr P, Cheong WF, Kusano H, Stone GW (2015) A randomized trial evaluating everolimus-eluting Absorb bioresorbable scaffolds vs. everolimus-eluting metallic stents in patients with coronary artery disease: ABSORB Japan. Eur Heart J. doi:10.1093/eurheartj/ehv435
17. Bezerra HG, Costa MA, Guagliumi G, Rollins AM, Simon DI (2009) Intracoronary optical coherence tomography: a comprehensive review clinical and research applications. JACC Cardiovasc Interv 2(11):1035–1046. doi:10.1016/j.jcin.2009.06.019
18. Prati F, Cera M, Ramazzotti V, Imola F, Giudice R, Giudice M, Propris SD, Albertucci M (2008) From bench to bedside: a novel technique of acquiring OCT images. Circ J 72(5):839–843
19. Wang A, Nakatani S, Eggermont J, Onuma Y, Garcia-Garcia HM, Serruys PW, Reiber JH, Dijkstra J (2014) Automatic detection of bioresorbable vascular scaffold struts in intravascular optical coherence tomography pullback runs. Biomed Opt Express 5(10):3589–3602. doi:10.1364/boe.5.003589
20. Wang A, Eggermont J, Dekker N, Garcia-Garcia HM, Pawar R, Reiber JH, Dijkstra J (2013) Automatic stent strut detection in intravascular optical coherence tomographic pullback runs. Int J Cardiovasc Imaging 29(1):29–38. doi:10.1007/s10554-012-0064-y
21. Fleiss JL (1986) The design and analysis of clinical experiments. Wiley, New York
22. BlandJM A (1986) Statistical methods for assessing agreement between two methods of clinical measurement. Lancet 1(8476):307–310
23. Landis JR, Koch GG (1977) The measurement of observer agreement for categorical data. Biometrics 33(1):159–174