Bridging cell-scale simulations and radiologic images to explain short-time intratumoral oxygen fluctuations

• DOI: 10.1371/journal.pcbi.1009206
• Publication Date: 2021-07-26T17:31:31Z
• Authors: Jessica L. Kingsley; James R. Costello; Natarajan Raghunand; Katarzyna A. Rejniak
• Keywords: Data set

Radiologic images provide a way to monitor tumor development and its response therapies in longitudinal minimally invasive fashion. However, they operate on macroscopic scale (average value per voxel) are not able capture microscopic (cell-level) phenomena. Nevertheless, examine the causes of frequent fast fluctuations tissue oxygenation, models simulating individual cells’ behavior needed. Here, we link between average data values recorded for radiologic cellular vascular architecture corresponding tissues. Using hybrid agent-based modeling, generate set morphologies capable reproducing oxygenation levels observed images. We then use these silico tissues investigate whether oxygen can be explained by changes supply or modulations absorption. Our studies show that intravascular reproduce all considered regions interest. larger-magnitude cannot recreated modifications absorption biologically feasible manner. Additionally, develop procedure identify plausible given temporal series from radiology In future applications, this approach used comparable with simulate responses various anti-cancer treatments at tissue-scale level.