The combined AUC for a panel of biomarkers was calculated to define the diagnostic accuracy of discriminating benign from malignant biliary strictures.
By applying this method, we estimated the accuracy of discrimination between benign and malignant samples to be 98.6%, with a rather narrow CI (see Fig. 1).
In this study we compared the results of accuracy to differentiate benign from malignant lesions using both manual and automatic segmentation procedures.
FDG PET/CT has been reported to increase diagnostic accuracy in the differentiation of benign and malignant primary cancers and to improve identification of nodal disease and metastasis [ 7, 8].
The accuracy of MRI in differentiating benign from malignant masses can be improved following intravenous gadolinium injection on gradient-echo sequences[ 22 24 ].
The accuracy of MRI in differentiating benign from malignant masses can be improved by using intravenous gadolinium injection and T1-weighted gradient-echo sequences[ 26 28].
Lack of accuracy in preoperative imaging leads to overtreatment of benign renal masses (RMs) or indolent renal cell carcinomas (RCCs).
The addition of dynamic contrast-enhanced MR imaging substantially enhances the accuracy of MR imaging in the differentiation of benign from malignant orbital masses and facilitates prediction of malignancy.
We evaluated the contribution of both CA125 biomarker and E2F5 status to the accuracy of separation of malignant from benign cases (Table 5).
However, the accuracy of CMR in distinguishing between benign and malignant tumors was moderate in this study.
Using this method, Kuhl reported a sensitivity of 91%, a specificity of 83% and an accuracy of 86% in distinguishing benign from malignant lesions (Kuhl et al, 1999).
