Cancer Research and Clinical Trials in Developing Countries by Daniela Cristina Stefan

Author:Daniela Cristina Stefan
Language: eng
Format: epub
Publisher: Springer International Publishing, Cham

0.2

100.0

31.8

0.5

98.6

82.6

1.0

97.1

85.6

2.0

95.7

87.8

10.0

87.1

90.5

20.0

82.9

92.3

50.0

72.9

94.4

200.0

55.7

97.2

1000.0

17.1

99.4

2500.0

0.0

100.0

From Table 7.6, when the cutoff values of HC2 increased from 0.0 to 2500.0 (pg/mL), the Se decreased from 100.0 to 0.0 %; correspondingly, Sp increased from 0.0 to 100.0 % meanwhile. However, problems arise on how to comprehensively measure the validity of a test and how to ascertain an optimal cutoff value. The receiver operating characteristic (ROC) curve is a suitable method in this situation.

The ROC curve was developed in the 1950s for evaluating radar signals detection. Only recently have they become commonly applied in healthcare [10, 11]. ROC curves can be presented by plotting sensitivity on the Y-axis against 1 − specificity on the X-axis. For example, Fig. 7.4 presents a empirical ROC curve for the HC2 test, using data from Table 7.6.

Fig. 7.4Receiver operating characteristic curve for the HC2 test

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