Prediction of stent under-expansion in calcified coronary arteries using machine learning on intravascular optical coherence tomography images

It can be difficult/impossible to fully expand a coronary artery stent in a heavily calcified coronary artery lesion. Under-expanded stents are linked to later complications. Here we used machine/deep learning to analyze calcifications in pre-stent intravascular optical coherence tomography (IVOCT)...

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Detalles Bibliográficos
Autores principales: Gharaibeh, Yazan, Lee, Juhwan, Zimin, Vladislav N., Kolluru, Chaitanya, Dallan, Luis A. P., Pereira, Gabriel T. R., Vergara-Martel, Armando, Kim, Justin N., Hoori, Ammar, Dong, Pengfei, Gamage, Peshala T., Gu, Linxia, Bezerra, Hiram G., Al-Kindi, Sadeer, Wilson, David L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10593923/
https://www.ncbi.nlm.nih.gov/pubmed/37872298
http://dx.doi.org/10.1038/s41598-023-44610-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10593923/
https://www.ncbi.nlm.nih.gov/pubmed/37872298
http://dx.doi.org/10.1038/s41598-023-44610-9

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