Diagnostic tests are widely used in medical science for diagnosing the presence or absence of a disease. These tests may not discriminate between subjects with and without the disease or disorder with perfect accuracy. Several methods are available to evaluate the performance of diagnostic tests when the purpose of the test is to discriminate between two possible disease states. Different performance indices have been proposed to determine the accuracy of diagnostic tests when both the disease state and the test result are binary. However, in some cases, the disease state may have more than two categories. For this reason, there is a need for other methods to characterize the accuracy of diagnostic tests. In this study, we propose a method which is useful in terms of selecting the most appropriate diagnostic test when the disease state and test results have three or more classes. In this study, information content (IC) and proportional reduction in diagnostic uncertainty (PRDU) were introduced as measures of diagnostic test accuracy. To demonstrate the applicability of these statistics, we evaluated the diagnostic performance of four different diagnostic methods which are used for dental caries detection: visual inspection, radiography, laser fluorescence (LF) and micro-computed tomography (M-CT) examination.Background: Several methods are available to evaluate the performance of the tests when the purpose of the diagnostic test is to discriminate between two possible disease states. However multi-class diagnostic problems frequently appear in many areas of medical science. Hence, there is a need for methods which will enable us to characterize the accuracy of diagnostic tests when there are more than two possible disease states. Aims: To show that two information theory measures, information content (IC) and proportional reduction in diagnostic uncertainty (PRDU), can be used for the evaluation of the performance of diagnostic tests for multi-class diagnostic problems that may appear in different areas of medical science. Study Design: Diagnostic accuracy study. Methods: Sixty freshly extracted permanent human molar and premolar teeth suspected to have occlusal caries lesions were selected for the study and were assessed by two experienced examiners. Each examiner performed two evaluations. Histological examination was used as the gold standard. The scores of the histological examination were defined as sound (n=11), enamel caries (n=22) and dentin caries (n=27). Diagnostic performance of i) visual inspection, ii) radiography, iii) laser fluorescence (LF) and iv) micro-computed tomography (M-CT) caries detection methods was evaluated by calculating IC and PRDU. Results: Micro-computed tomography examination was the best method among the diagnostic techniques for the diagnosis of occlusal caries in terms of both IC and PRDU. M-CT examination supplied the maximum diagnostic information about the diagnosis of occlusal caries in the first (IC: 1.056; p<0.05), (PRDU: 70.5%) and second evaluation (IC: 1.105; p<0.05),...