Skip to main content
. 2022 Jul 19;14(14):3499. doi: 10.3390/cancers14143499

Table 2.

Subgroup analysis regarding image tool in discriminating oral cancerous lesions from normal mucosa.

Subgroup Study (n) DOR [95% CIs] Sensitivity [95% CIs] Specificity [95% CIs] NPV [95% CIs] AUC
7 121.6609 [29.5996; 500.0534]; I2 = 93.5% 0.9232 [0.8686; 0.9562]; I2 = 81.9% 0.9494 [0.7850; 0.9897]; I2 = 98.3% 0.9405 [0.8947; 0.9671]; I2 = 83.6% 0.948
Image tool
Autofluorescence 2 25.9083 [ 6.3059; 106.4464]; I2 = 68.0% 0.8972 [0.8262; 0.9413]; I2 = 63.5% 0.8213 [0.4430; 0.9637]; 94.0% 0.9041 [0.8263; 0.9492]; 23.9%
Optical coherense tomography 3 261.9981 [14.7102; 4666.3521]; I2 = 96.3% 0.9419 [0.8544; 0.9781]; I2 = 84.4% 0.9461 [0.7931; 0.9877]; 94.6% 0.9625 [0.9106; 0.9848]; 81.9%
Photographic image 2 431.6524 [ 4.0037; 46537.4743]; I2 = 93.0% 0.9149 [0.7475; 0.9750]; I2 = 87.4% 0.9983 [0.2906; 1.0000]; 94.9% 0.9381 [0.8109; 0.9816]; 87.5%
0.2332 0.5910 0.2907 0.2291

DOR; diagnostic odds ratio, AUC; area under the curve, NPV; negative predictive value.