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Fig. 4 | Journal of Translational Medicine

Fig. 4

From: Feasibility and utility of MRI and dynamic 18F-FDG-PET in an orthotopic organoid-based patient-derived mouse model of endometrial cancer

Fig. 4

Linear regression analyses of imaging parameters quantified from MRI and 18F-FDG-PET. Linear regression analyses of anatomical tumor volume (vMRI) versus metabolic tumor volume (MTV) (A), total lesion glycolysis (TLG; SUVmean × MTV) (B) and Tumor ADCmean (C). Linear regression analyses of SUVmean versus SUVmax (D), metabolic rate of 18F-FDG (MRFDG) versus SUVmax/SUVmean (E) and vMRI versus SUVmean/max (F). Graphs are based on data presented in Table 2. Each dot represents a scan, and the line represents linear regression, with dotted bands representing the 95% confidence bands. r2 = goodness of fit (linear regression). ADC apparent diffusion coefficient, 18F-FDG fluorodeoxyglucose, MRFDG metabolic rate of 18F-FDG, MTV metabolic tumor volume, SUV standardized uptake value, TLG total lesion glycolysis, vMRI tumor volume from MRI

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