Marcus Caine1, Michael S McCafferty2, Scott McGhee3, Pedro Garcia2, Wayne M Mullett3, Xunli Zhang4, Martyn Hill4, Matthew R Dreher5, Andrew L Lewis2. 1. Department of Engineering and the Environment, University of Southampton, Highfield, United Kingdom; Biocompatibles UK, Lakeview, Riverside Way, Watchmoor Park, Camberley, United Kingdom GU15 3YL. Electronic address: marcus.caine@btgplc.com. 2. Biocompatibles UK, Lakeview, Riverside Way, Watchmoor Park, Camberley, United Kingdom GU15 3YL. 3. BTG International Canada, Ottawa, Ontario, Canada. 4. Department of Engineering and the Environment, University of Southampton, Highfield, United Kingdom. 5. Biocompatibles, West Conshohocken, Pennsylvania.
Abstract
PURPOSE: To investigate material density, flow, and viscosity effects on microsphere distribution within an in vitro model designed to simulate hepatic arteries. MATERIALS AND METHODS: A vascular flow model was used to compare distribution of glass and resin surrogates in a clinically derived flow range (60-120 mL/min). Blood-mimicking fluid (BMF) composed of glycerol and water (20%-50% vol/vol) was used to simulate a range of blood viscosities. Microsphere distribution was quantified gravimetrically, and injectate solution was dyed to enable quantification by UV spectrophotometry. Microsphere injection rate (5-30 mL/min) and the influence of contrast agent dilution of injection solution (0%-60% vol/vol) were also investigated. RESULTS: No significant differences in behavior were observed between the glass and resin surrogate materials under any tested flow conditions (P = .182; n = 144 injections). Microspheres tend to align more consistently with the saline injection solution (r2 = 0.5712; n = 144) compared with total BMF flow distribution (r2 = 0.0104; n = 144). The most predictable injectate distribution (ie, greatest alignment with BMF flow, < 5% variation) was demonstrated with > 10-mL/min injection rates of pure saline solution, although < 20% variation with glass microsphere distribution was observed with injection solution containing as much as 30% contrast medium when injected at > 20 mL/min. CONCLUSIONS: Glass and resin yttrium-90 surrogates demonstrated similar distribution in a range of clinically relevant flow conditions, suggesting that microsphere density does not have a significant influence on microsphere distribution. Injection parameters that enhanced the mixing of the spheres with the BMF resulted in the most predictable distribution.
PURPOSE: To investigate material density, flow, and viscosity effects on microsphere distribution within an in vitro model designed to simulate hepatic arteries. MATERIALS AND METHODS: A vascular flow model was used to compare distribution of glass and resin surrogates in a clinically derived flow range (60-120 mL/min). Blood-mimicking fluid (BMF) composed of glycerol and water (20%-50% vol/vol) was used to simulate a range of blood viscosities. Microsphere distribution was quantified gravimetrically, and injectate solution was dyed to enable quantification by UV spectrophotometry. Microsphere injection rate (5-30 mL/min) and the influence of contrast agent dilution of injection solution (0%-60% vol/vol) were also investigated. RESULTS: No significant differences in behavior were observed between the glass and resin surrogate materials under any tested flow conditions (P = .182; n = 144 injections). Microspheres tend to align more consistently with the saline injection solution (r2 = 0.5712; n = 144) compared with total BMF flow distribution (r2 = 0.0104; n = 144). The most predictable injectate distribution (ie, greatest alignment with BMF flow, < 5% variation) was demonstrated with > 10-mL/min injection rates of pure saline solution, although < 20% variation with glass microsphere distribution was observed with injection solution containing as much as 30% contrast medium when injected at > 20 mL/min. CONCLUSIONS: Glass and resin yttrium-90 surrogates demonstrated similar distribution in a range of clinically relevant flow conditions, suggesting that microsphere density does not have a significant influence on microsphere distribution. Injection parameters that enhanced the mixing of the spheres with the BMF resulted in the most predictable distribution.
Authors: José Carlos De La Vega; Pedro Luis Esquinas; Cristina Rodríguez-Rodríguez; Mehrdad Bokharaei; Igor Moskalev; David Liu; Katayoun Saatchi; Urs O Häfeli Journal: Theranostics Date: 2019-01-25 Impact factor: 11.556
Authors: Lindsay B Young; Marcin Kolber; Michael J King; Mona Ranade; Vivian L Bishay; Rahul S Patel; Francis S Nowakowski; Aaron M Fischman; Robert A Lookstein; Edward Kim Journal: J Interv Med Date: 2022-05-21