AMS Bianka Model (Sets 01 11) 49 !FULL!



 
 
 
 
 
 
 

AMS Bianka Model (Sets 01 11) 49

As mentioned in section 3.1, a test of the BIANCA model is also provided by the RBE / ratios calculated from the survival curves predicted for the CHO cell line after exposure to heavy ions. The coefficient derived for the / ratio, namely 0.056, was used to calculate the ratio of the 50% survival for He ions with LET = 2.5 and 5.0keV m1 in comparison with the V79 cell survival curve. The results are given in table 2. Although the ratios are scattered, they are in reasonable agreement with the experimental ratio of 0.066 and thus appear to validate BIANCA. Furthermore, as one can see in figure 5, the model fits reasonably well the data points from the LET = 2.5 and 5.0 m1 case. On the other hand, the model predictions for the RBE / ratio are much too high for all LET values.

As mentioned before, the BIANCA model was trained and validated at BL (training set included the first 100 patients in the BL dataset), and at FU (training set the last 100 patients in the FU dataset). Based on the data at BL, a model with the best performance was determined for further validation at FU, using the FU dataset. Figure 5A shows that the mean absolute error at BL is 7.38cm3 (the IQR for this quantity is 9.36cm3). BIANCA is able to predict WMH volume more accurately for the FU dataset and for a given sample size (n = 7) compared to the BL dataset (mean absolute error 12.27cm3, IQR 16.15cm3, n = 7). Additionally, Figure 5B shows that BIANCA is more strongly biased for increased volumes (larger positive absolute errors), and is more strongly influenced by smaller sample sizes (n = 7). As a consequence, the trend shows that the more subjects were randomly chosen for the training of a BIANCA model, the performance in all settings converges more to a final performance that is more robust. It may be seen, that the model performance is less good at FU (mean absolute error 12.27cm3), possibly because of less complete reference standard data at FU compared to the data available at BL, where the reference standard was based on a manual annotation by a board-certified radiologist with significant experience in MRI processing.

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