Publications by authors named "Sergiy Zhuk"
Article Synopsis
- A series of PEG-substituted fluorophores were developed for fluorescence-guided imaging, especially to identify ureters in surgical settings, emitting light in the near-infrared region (700-800 nm).
- The bis-PEGylation improved fluorescence in water, with optimal PEG chain lengths suggesting effective imaging results in rodent and porcine models.
- The technology enabled real-time ureter visualization up to 120 minutes post-administration and can differentiate from a common surgical dye, indicating potential for enhanced intraoperative tissue color coding.
Delta like canonical notch ligand 4 (Dll4) expression levels in tumors are known to affect the efficacy of cancer therapies. This study aimed to develop a model to predict Dll4 expression levels in tumors using dynamic enhanced near-infrared (NIR) imaging with indocyanine green (ICG). Two rat-based consomic xenograft (CXM) strains of breast cancer with different Dll4 expression levels and eight congenic xenograft strains were studied.
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- The study explores how near infrared light sources and the fluorescent dye Indocyanine Green (ICG) can be used to non-invasively measure blood flow (perfusion) in tumors.
- It focuses on the unique ways ICG behaves in cancerous tissues, which have irregular blood vessels compared to healthy tissues.
- By analyzing specific fluorescence data from ICG, researchers developed simple machine learning models that achieved over 95% accuracy in distinguishing between benign and cancerous lesions.
Dual emissions at ~700 and 800 nm have been achieved from a single NIR-AZA fluorophore by establishing parameters in which it can exist in either its isolated molecular or aggregated states. Dual near infrared (NIR) fluorescence color lymph node (LN) mapping with was achieved in a large-animal porcine model, with injection site, channels and nodes all detectable at both 700 and 800 nm using a preclinical open camera system. The fluorophore was also compatible with imaging using two clinical instruments for fluorescence guided surgery.
View Article and Find Full Text PDFVirtual fractional flow reserve (vFFR) is an emerging technology employing patient-specific computational fluid dynamics (CFD) simulations to infer the hemodynamic significance of a coronary stenosis. Patient-specific boundary conditions are an important aspect of this approach and while most efforts make use of lumped parameter models to capture key phenomena, they lack the ability to specify the associated parameters on a patient-specific basis. When applying vFFR in a catheter laboratory setting using X-ray angiograms as the basis for creating the simulations, there is some indirect functional information available through the observation of the radio-opaque contrast agent motion.
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