OBJECTIVES: The aim of this study was to identify histological features that correlate with terms commonly used to describe optical coherence tomographic (OCT) and optical frequency-domain imaging (OFDI) images of stented vessels, by means of a histopathological validation study using stented human coronary arteries. BACKGROUND: OCT imaging and OFDI are used to evaluate vascular responses to stent implantation. Descriptive terms such as "peristrut low attenuation" and "heterogeneous" have been used to describe neointimal characteristics that may have clinical relevance. However, only limited histopathological correlations are available. METHODS: Using the CVPath stent registry, 19 cases were identified in whom implantation duration was >30 days and OCT imaging or OFDI and histological findings were available. Consecutive OCT or OFDI frames (n = 1,063) of stented coronary arteries were categorized according to their predominant imaging features in 1-mm intervals. Coregistration of OCT or OFDI frames and histopathological cross sections was performed in 111 frames. RESULTS: Seven distinct OCT or OFDI patterns were found: homogenous (45%), layered (15%), high intensity with high attenuation (14%), intraluminal protruding masses (8%), peristrut low attenuation (7%), heterogeneous (2%), and honeycomb (1%). Histopathologically, the homogenous pattern correlated most often with smooth muscle cells within collagenous/proteoglycan matrix and less often with organized thrombus. The layered pattern correlated with healed neointimal rupture or erosion, peristrut neovascularization, or smooth muscle cells within collagen/proteoglycan matrix. High intensity with high attenuation correlated with superficial macrophage accumulation in the majority of cases, but with other histological findings in 30% of cases. The diagnostic accuracy was greater in restenotic lesions. The only OCT or OFDI finding that had a single histological feature was the honeycomb pattern. CONCLUSIONS: This study suggests a lack of correlation between OCT image patterns and distinct histological tissue characteristics.
OBJECTIVES: The aim of this study was to identify histological features that correlate with terms commonly used to describe optical coherence tomographic (OCT) and optical frequency-domain imaging (OFDI) images of stented vessels, by means of a histopathological validation study using stented human coronary arteries. BACKGROUND:OCT imaging and OFDI are used to evaluate vascular responses to stent implantation. Descriptive terms such as "peristrut low attenuation" and "heterogeneous" have been used to describe neointimal characteristics that may have clinical relevance. However, only limited histopathological correlations are available. METHODS: Using the CVPath stent registry, 19 cases were identified in whom implantation duration was >30 days and OCT imaging or OFDI and histological findings were available. Consecutive OCT or OFDI frames (n = 1,063) of stented coronary arteries were categorized according to their predominant imaging features in 1-mm intervals. Coregistration of OCT or OFDI frames and histopathological cross sections was performed in 111 frames. RESULTS: Seven distinct OCT or OFDI patterns were found: homogenous (45%), layered (15%), high intensity with high attenuation (14%), intraluminal protruding masses (8%), peristrut low attenuation (7%), heterogeneous (2%), and honeycomb (1%). Histopathologically, the homogenous pattern correlated most often with smooth muscle cells within collagenous/proteoglycan matrix and less often with organized thrombus. The layered pattern correlated with healed neointimal rupture or erosion, peristrut neovascularization, or smooth muscle cells within collagen/proteoglycan matrix. High intensity with high attenuation correlated with superficial macrophage accumulation in the majority of cases, but with other histological findings in 30% of cases. The diagnostic accuracy was greater in restenotic lesions. The only OCT or OFDI finding that had a single histological feature was the honeycomb pattern. CONCLUSIONS: This study suggests a lack of correlation between OCT image patterns and distinct histological tissue characteristics.
Authors: Erion Xhepa; Robert A Byrne; Fernando Rivero; Andi Rroku; Javier Cuesta; Gjin Ndrepepa; Sebastian Kufner; Teresa Bastante Valiente; Salvatore Cassese; Marcos Garcia-Guimaraes; Anna Lena Lahmann; Himanshu Rai; Heribert Schunkert; Michael Joner; María José Pérez-Vizcayno; Nieves Gonzalo; Fernando Alfonso; Adnan Kastrati Journal: Clin Res Cardiol Date: 2019-02-19 Impact factor: 5.460
Authors: Makoto Araki; Seung-Jung Park; Harold L Dauerman; Shiro Uemura; Jung-Sun Kim; Carlo Di Mario; Thomas W Johnson; Giulio Guagliumi; Adnan Kastrati; Michael Joner; Niels Ramsing Holm; Fernando Alfonso; William Wijns; Tom Adriaenssens; Holger Nef; Gilles Rioufol; Nicolas Amabile; Geraud Souteyrand; Nicolas Meneveau; Edouard Gerbaud; Maksymilian P Opolski; Nieves Gonzalo; Guillermo J Tearney; Brett Bouma; Aaron D Aguirre; Gary S Mintz; Gregg W Stone; Christos V Bourantas; Lorenz Räber; Sebastiano Gili; Kyoichi Mizuno; Shigeki Kimura; Toshiro Shinke; Myeong-Ki Hong; Yangsoo Jang; Jin Man Cho; Bryan P Yan; Italo Porto; Giampaolo Niccoli; Rocco A Montone; Vikas Thondapu; Michail I Papafaklis; Lampros K Michalis; Harmony Reynolds; Jacqueline Saw; Peter Libby; Giora Weisz; Mario Iannaccone; Tommaso Gori; Konstantinos Toutouzas; Taishi Yonetsu; Yoshiyasu Minami; Masamichi Takano; O Christopher Raffel; Osamu Kurihara; Tsunenari Soeda; Tomoyo Sugiyama; Hyung Oh Kim; Tetsumin Lee; Takumi Higuma; Akihiro Nakajima; Erika Yamamoto; Krzysztof L Bryniarski; Luca Di Vito; Rocco Vergallo; Francesco Fracassi; Michele Russo; Lena M Seegers; Iris McNulty; Sangjoon Park; Marc Feldman; Javier Escaned; Francesco Prati; Eloisa Arbustini; Fausto J Pinto; Ron Waksman; Hector M Garcia-Garcia; Akiko Maehara; Ziad Ali; Aloke V Finn; Renu Virmani; Annapoorna S Kini; Joost Daemen; Teruyoshi Kume; Kiyoshi Hibi; Atsushi Tanaka; Takashi Akasaka; Takashi Kubo; Satoshi Yasuda; Kevin Croce; Juan F Granada; Amir Lerman; Abhiram Prasad; Evelyn Regar; Yoshihiko Saito; Mullasari Ajit Sankardas; Vijayakumar Subban; Neil J Weissman; Yundai Chen; Bo Yu; Stephen J Nicholls; Peter Barlis; Nick E J West; Armin Arbab-Zadeh; Jong Chul Ye; Jouke Dijkstra; Hang Lee; Jagat Narula; Filippo Crea; Sunao Nakamura; Tsunekazu Kakuta; James Fujimoto; Valentin Fuster; Ik-Kyung Jang Journal: Nat Rev Cardiol Date: 2022-04-21 Impact factor: 49.421
Authors: Philipp Nicol; Petra Hoppman; Kristina Euller; Erion Xhepa; Tobias Lenz; Himanshu Rai; Hiroyuki Jinnouchi; Anna Bulin; Maria Isabel Castellanos; Anna Lena Lahmann; Tobias Koppara; Adnan Kastrati; Michael Joner Journal: Int J Cardiovasc Imaging Date: 2020-08-06 Impact factor: 2.357