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Use of patient outcome endpoints to identify the best functional CT imaging parameters in metastatic renal cell
Jill Rachel Mains1, Frede Donskov2, Erik Morre Pedersen1
11 Department of Radiology, Aarhus University Hospital , Aarhus , Denmark.
Objective:
To use the patient outcome endpoints overall survival and progression-free survival to evaluate functional parameters derived from dynamic contrast-enhanced CT.
Methods:
69 patients with metastatic renal cell carcinoma had dynamic contrast-enhanced CT scans at baseline and after 5 and 10 weeks of treatment. Blood volume, blood flow and standardized perfusion values were calculated using deconvolution (BVdeconv, BFdeconv and SPVdeconv), blood flow and standardized perfusion values using maximum slope (BFmax and SPVmax) and blood volume and permeability surface area product using the Patlak model (BVpatlak and PS). Histogram data for each were extracted and associated to patient outcomes. Correlations and agreements were also assessed.
Results:
The strongest associations were observed between patient outcome and medians and modes for BVdeconv, BVpatlak and BFdeconv at baseline and during the early ontreatment period (p < 0.05 for all). For the relative changes in median and mode between baseline and weeks 5 and 10, PS seemed to have opposite associations dependent on treatment. Interobserver correlations were excellent (r ≥ 0.9, p < 0.001) with good agreement for BFdeconv, BFmax, SPVdeconv and SPVmax and moderate to good (0.5 < r < 0.7, p < 0.001) for BVdeconv and BVpatlak. Medians had a better reproducibility than modes.
Conclusion:
Patient outcome was used to identify the best functional imaging parameters in patients with metastatic renal cell carcinoma. Taking patient outcome and reproducibility into account, BVdeconv, BVpatlak and BFdeconv provide the most clinically meaningful information, whereas PS seems to be treatment dependent. Standardization of acquisition protocols and post-processing software is necessary for future clinical utilization. Advances in knowledge: Taking patient outcome and reproducibility into account, BVdeconv, BVpatlak and BFdeconv provide the most clinically meaningful information. PS seems to be treatment dependent.
