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. Author manuscript; available in PMC: 2020 Dec 1.
Published in final edited form as: Magn Reson Imaging. 2019 Feb 28;64:4–12. doi: 10.1016/j.mri.2019.02.013

Fig. 6.

Fig. 6.

The diagnostic results analyzed using the Chi-square Automatic Interaction Detector (CHAID) decision tree classification method. The overall diagnostic accuracy of 0.79 is achieved by using the first threshold of wash-out slope - 6.6%, followed by the second threshold of wash-in SE 98%. True Positive (TP) for diagnosis of lung cancer = 18 cases; False Negative (FN) = 12 cases; True Negative (TN) for diagnosis of other tumors = 30 cases; and False Positive (FP) = 1 case. The Sensitivity = 60%; Specificity = 96.8%; Positive Predicting Value = 94.7%; and Negative Predicting Value = 71.4%.