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Table 5 The lesion-based diagnostic performance of AI model in the testing cohort and the comparison of the AI performance among lung, prostate and breast cancers

From: Automatic identification of suspicious bone metastatic lesions in bone scintigraphy using convolutional neural network

  Group for primary tumor types χ2 P value
Lung cancer Prostate cancer Breast cancer
Sensitivity 76.16 84.66 81.65 12.88 0.002
Specificity 82.52 79.07 81.78 2.08 0.354
Accuracy 79.40 82.30 81.82 3.13 0.209
PPV 81.12 84.43 78.33 6.52 0.038
NPV 77.70 79.52 85.05 8.85 0.012
  1. Chi-square test was performed to compare the performance of AI model among different tumor types