Research Article

An Intelligent Clinical Decision Support System for Patient-Specific Predictions to Improve Cervical Intraepithelial Neoplasia Detection

Table 16

Diagnostic performance of cytology, biomarkers, and the CDSS to identify high-grade cervical intraepithelial neoplasia or cancer (CIN2+).

Histology endpoint CIN2+Sensitivity (%)Specificity (%)PPV (%)NPV (%)Youden’s index

Pap test (cut-off ASCUS+)98.145.333.398.90.43
Pap test (cut-off LSIL+)89.467.043.096.00.56
Pap test (cut-off HSIL+)71.495.381.092.30.67
HPV DNA test91.961.539.996.50.53
HR-HPV DNA89.467.443.295.80.57
NASBA E6/E7 HPV mRNA test77.090.268.593.40.67
Flow cytometric E6/E7 HPV mRNA assay93.281.958.897.70.75
p1658.492.969.688.90.51
CDSS89.497.189.497.10.87

Statistical measures have been calculated using all the cases of the dataset (Table 1). Histology endpoint is CIN2+ for all cases. Definition of positivity of each medical test is presented in Table 15. For the CDSS, positivity was defined as a classification result of CIN2/3 or cancer. CIN2+: cervical intraepithelial neoplasia grade 2 or worse, PPV: positive predictive value, and NPV: negative predictive value.