Your browser doesn't support javascript.
loading
Plaque Characteristics Derived from Intravascular Optical Coherence Tomography That Predict Cardiovascular Death.
Lee, Juhwan; Gharaibeh, Yazan; Zimin, Vladislav N; Kim, Justin N; Hassani, Neda S; Dallan, Luis A P; Pereira, Gabriel T R; Makhlouf, Mohamed H E; Hoori, Ammar; Wilson, David L.
Afiliación
  • Lee J; Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH 44106, USA.
  • Gharaibeh Y; Department of Biomedical Engineering, Faculty of Engineering, The Hashemite University, Zarqa 13133, Jordan.
  • Zimin VN; Brookdale University Hospital Medical Center, 1 Brookdale Plaza, Brooklyn, NY 11212, USA.
  • Kim JN; Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH 44106, USA.
  • Hassani NS; Harrington Heart and Vascular Institute, University Hospitals Cleveland Medical Center, Cleveland, OH 44106, USA.
  • Dallan LAP; Harrington Heart and Vascular Institute, University Hospitals Cleveland Medical Center, Cleveland, OH 44106, USA.
  • Pereira GTR; Harrington Heart and Vascular Institute, University Hospitals Cleveland Medical Center, Cleveland, OH 44106, USA.
  • Makhlouf MHE; Harrington Heart and Vascular Institute, University Hospitals Cleveland Medical Center, Cleveland, OH 44106, USA.
  • Hoori A; Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH 44106, USA.
  • Wilson DL; Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH 44106, USA.
Bioengineering (Basel) ; 11(8)2024 Aug 19.
Article en En | MEDLINE | ID: mdl-39199801
ABSTRACT
This study aimed to investigate whether plaque characteristics derived from intravascular optical coherence tomography (IVOCT) could predict a long-term cardiovascular (CV) death. This study was a single-center, retrospective study on 104 patients who had undergone IVOCT-guided percutaneous coronary intervention. Plaque characterization was performed using Optical Coherence TOmography PlaqUe and Stent (OCTOPUS) software developed by our group. A total of 31 plaque features, including lesion length, lumen, calcium, fibrous cap (FC), and vulnerable plaque features (e.g., microchannel), were computed from the baseline IVOCT images. The discriminatory power for predicting CV death was determined using univariate/multivariate logistic regressions. Of 104 patients, CV death was identified in 24 patients (23.1%). Univariate logistic regression revealed that lesion length, calcium angle, calcium thickness, FC angle, FC area, and FC surface area were significantly associated with CV death (p < 0.05). In the multivariate logistic analysis, only the FC surface area (OR 2.38, CI 0.98-5.83, p < 0.05) was identified as a significant determinant for CV death, highlighting the importance of the 3D lesion analysis. The AUC of FC surface area for predicting CV death was 0.851 (95% CI 0.800-0.927, p < 0.05). Patients with CV death had distinct plaque characteristics (i.e., large FC surface area) in IVOCT. Studies such as this one might someday lead to recommendations for pharmaceutical and interventional approaches.
Palabras clave
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Bioengineering (Basel) Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Suiza
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Bioengineering (Basel) Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Suiza