Healthy Strut Coverage After Coronary Stent Implantation: An Ex Vivo Human Autopsy Study.


Journal

Circulation. Cardiovascular interventions
ISSN: 1941-7632
Titre abrégé: Circ Cardiovasc Interv
Pays: United States
ID NLM: 101499602

Informations de publication

Date de publication:
05 2020
Historique:
entrez: 28 4 2020
pubmed: 28 4 2020
medline: 25 11 2020
Statut: ppublish

Résumé

Struts have been considered as covered when tissue overlying the struts is >0 μm by optical coherence tomography (OCT). However, there is no confirmatory study to validate this definition by histology which is the gold standard. The aim of the present study was to assess the appropriate cutoff value of neointimal thickness of stent strut coverage by OCT with histology confirmation. We performed ex vivo OCT imaging of human coronary arteries with stents at autopsy. A total of 46 stents in 39 vessels from 25 patients were examined in this study, and a total of 165 cross-sectional images were co-registered with histology to determine the optimal cutoff value for strut coverage by OCT which was defined as luminal endothelial cells with 2 abluminal layers of smooth muscles cells and matrix. Considering the resolution of OCT is 10 to 20 μm, the cutoff values were assessed at ≥20, ≥40, and ≥60 μm. A total of 2235 struts were reviewed by histology, 1216 were considered as well-matched struts which were analyzed in this study. By histology, 160 struts were identified as uncovered, while 1056 struts were covered. The OCT assessment without consideration of neointimal thickness yielded a poor specificity of 37.5% and sensitivity 100%. Of 3 cutoff values, the cutoff value of ≥40 μm yielded the best sensitivity (99.3%), specificity (91.0%), positive predictive value (98.6%), and negative predictive value (95.6%) as compared with ≥20 and ≥60 μm. Neointimal thickness ≥40 μm by OCT yielded the most accurate cutoff value to identify stent strut coverage validated by histology.

Sections du résumé

BACKGROUND
Struts have been considered as covered when tissue overlying the struts is >0 μm by optical coherence tomography (OCT). However, there is no confirmatory study to validate this definition by histology which is the gold standard. The aim of the present study was to assess the appropriate cutoff value of neointimal thickness of stent strut coverage by OCT with histology confirmation.
METHODS
We performed ex vivo OCT imaging of human coronary arteries with stents at autopsy. A total of 46 stents in 39 vessels from 25 patients were examined in this study, and a total of 165 cross-sectional images were co-registered with histology to determine the optimal cutoff value for strut coverage by OCT which was defined as luminal endothelial cells with 2 abluminal layers of smooth muscles cells and matrix. Considering the resolution of OCT is 10 to 20 μm, the cutoff values were assessed at ≥20, ≥40, and ≥60 μm.
RESULTS
A total of 2235 struts were reviewed by histology, 1216 were considered as well-matched struts which were analyzed in this study. By histology, 160 struts were identified as uncovered, while 1056 struts were covered. The OCT assessment without consideration of neointimal thickness yielded a poor specificity of 37.5% and sensitivity 100%. Of 3 cutoff values, the cutoff value of ≥40 μm yielded the best sensitivity (99.3%), specificity (91.0%), positive predictive value (98.6%), and negative predictive value (95.6%) as compared with ≥20 and ≥60 μm.
CONCLUSIONS
Neointimal thickness ≥40 μm by OCT yielded the most accurate cutoff value to identify stent strut coverage validated by histology.

Identifiants

pubmed: 32338525
doi: 10.1161/CIRCINTERVENTIONS.119.008869
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e008869

Auteurs

Hiroyuki Jinnouchi (H)

CVPath Institute, Gaithersburg, MD (H.J., F.O., Y.S., R.R.B., A.S., S.T., K.Y., A.C., M.M., R.K., F.D.K., R.V., A.V.F.).

Fumiyuki Otsuka (F)

CVPath Institute, Gaithersburg, MD (H.J., F.O., Y.S., R.R.B., A.S., S.T., K.Y., A.C., M.M., R.K., F.D.K., R.V., A.V.F.).

Yu Sato (Y)

CVPath Institute, Gaithersburg, MD (H.J., F.O., Y.S., R.R.B., A.S., S.T., K.Y., A.C., M.M., R.K., F.D.K., R.V., A.V.F.).

Rahul R Bhoite (RR)

CVPath Institute, Gaithersburg, MD (H.J., F.O., Y.S., R.R.B., A.S., S.T., K.Y., A.C., M.M., R.K., F.D.K., R.V., A.V.F.).

Atsushi Sakamoto (A)

CVPath Institute, Gaithersburg, MD (H.J., F.O., Y.S., R.R.B., A.S., S.T., K.Y., A.C., M.M., R.K., F.D.K., R.V., A.V.F.).

Sho Torii (S)

CVPath Institute, Gaithersburg, MD (H.J., F.O., Y.S., R.R.B., A.S., S.T., K.Y., A.C., M.M., R.K., F.D.K., R.V., A.V.F.).

Kazuyuki Yahagi (K)

CVPath Institute, Gaithersburg, MD (H.J., F.O., Y.S., R.R.B., A.S., S.T., K.Y., A.C., M.M., R.K., F.D.K., R.V., A.V.F.).

Anne Cornelissen (A)

CVPath Institute, Gaithersburg, MD (H.J., F.O., Y.S., R.R.B., A.S., S.T., K.Y., A.C., M.M., R.K., F.D.K., R.V., A.V.F.).

Masayuki Mori (M)

CVPath Institute, Gaithersburg, MD (H.J., F.O., Y.S., R.R.B., A.S., S.T., K.Y., A.C., M.M., R.K., F.D.K., R.V., A.V.F.).

Rika Kawakami (R)

CVPath Institute, Gaithersburg, MD (H.J., F.O., Y.S., R.R.B., A.S., S.T., K.Y., A.C., M.M., R.K., F.D.K., R.V., A.V.F.).

Frank D Kolodgie (FD)

CVPath Institute, Gaithersburg, MD (H.J., F.O., Y.S., R.R.B., A.S., S.T., K.Y., A.C., M.M., R.K., F.D.K., R.V., A.V.F.).

Renu Virmani (R)

CVPath Institute, Gaithersburg, MD (H.J., F.O., Y.S., R.R.B., A.S., S.T., K.Y., A.C., M.M., R.K., F.D.K., R.V., A.V.F.).

Aloke V Finn (AV)

CVPath Institute, Gaithersburg, MD (H.J., F.O., Y.S., R.R.B., A.S., S.T., K.Y., A.C., M.M., R.K., F.D.K., R.V., A.V.F.).
University of Maryland, School of Medicine, Baltimore (A.V.F.).

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