Assessment of Blood Clot Composition by Spectral Optical Coherence Tomography: An In Vitro Study.

Blood clot Composition Optical coherence tomography

Journal

Neurointervention
ISSN: 2093-9043
Titre abrégé: Neurointervention
Pays: Korea (South)
ID NLM: 101561462

Informations de publication

Date de publication:
Mar 2021
Historique:
received: 12 08 2020
accepted: 12 11 2020
pubmed: 10 12 2020
medline: 10 12 2020
entrez: 9 12 2020
Statut: ppublish

Résumé

Optical coherence tomography (OCT) has the potential for in vivo clot composition characterization in difficult mechanical embolectomy cases. We performed an in vitro study to determine the OCT characteristics of red blood cells (RBCs) and fibrin rich clots. Analogues of 5 compositions of clots (5% to 95% RBCs from Group A to E) were created from human blood. The blood mixture was injected into the bifurcation of a 3D printed bifurcated silicone tube. The OPTISTM Integrated System (St. Jude Medical Inc.) was used to identify the magnitude of OCT signals from different compositions of clots. Martius Scarlett Blue trichrome (MSB) staining was performed to confirm the composition of RBCs and fibrin in each clot. Group A and B showed less signal attenuation (less than 30%) from its surface to the inside, which indicated high penetration (low-back scattering). Group C indicated intermediate signal attenuation (60%) from its surface to inside the clots, in which signals were found even at the periphery of the clot. Group D and E were superficially signal rich with more signal attenuation (more than 80%) from its surface to the inside indicating low penetration (high-back scattering). Signal-free shadowing was shown in 3 clots in Group E. MSB staining indicated color change (from red in fibrin-rich clots to yellow in RBC-rich clots). Different compositions of clots can be assessed using OCT. Fibrin-rich clots have homogeneous signals with high penetration, while RBC-rich clots can be recognized as superficially signal rich with low penetration.

Identifiants

pubmed: 33296954
pii: neuroint.2020.00297
doi: 10.5469/neuroint.2020.00297
pmc: PMC7946555
doi:

Types de publication

Journal Article

Langues

eng

Pagination

29-33

Subventions

Organisme : NINDS NIH HHS
ID : R01 NS105853
Pays : United States
Organisme : NIH HHS
ID : NS105853
Pays : United States

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Auteurs

Yonghong Ding (Y)

Neuroradiology Research Laboratory, Department of Radiology, Mayo Clinic, Rochester, MN, USA.

Mehdi Abbasi (M)

Neuroradiology Research Laboratory, Department of Radiology, Mayo Clinic, Rochester, MN, USA.

Ahmed M Eltanahy (AM)

Neuroradiology Research Laboratory, Department of Radiology, Mayo Clinic, Rochester, MN, USA.

Daniel R Jakaitis (DR)

Neuroradiology Research Laboratory, Department of Radiology, Mayo Clinic, Rochester, MN, USA.

Daying Dai (D)

Neuroradiology Research Laboratory, Department of Radiology, Mayo Clinic, Rochester, MN, USA.

Ramanathan Kadirvel (R)

Neuroradiology Research Laboratory, Department of Radiology, Mayo Clinic, Rochester, MN, USA.

David F Kallmes (DF)

Neuroradiology Research Laboratory, Department of Radiology, Mayo Clinic, Rochester, MN, USA.

Waleed Brinjikji (W)

Neuroradiology Research Laboratory, Department of Radiology, Mayo Clinic, Rochester, MN, USA.

Classifications MeSH