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Insights into Imaging

Table 1 Performance of reader 3 (technician) and the artificial intelligence in correctly deciding on the necessity of contrast injection in the validation set (n = 100) with the consensus of two experienced radiologists (R1 and R2) as reference standard.

From: Improving workflow in prostate MRI: AI-based decision-making on biparametric or multiparametric MRI

 

DCE necessary

DCE not necessary

Agreement

AUC (95% CI)

Sensitivity

Specificity

Consensus (R1/R2)

36/100 (36%)

64/100 (64%)

Ref

Ref

Ref

Ref

Technician (R3)

70/100 (70%)

30/100 (30%)

0.55

0.765 (0.669–0844)

63.9%

89.1%

Artificial Intelligence (AI)

56/100 (56%)

44/100 (44%)

0.54

0.881 (0.801–0.937)

94.4%

68.8%

  1. Agreement: kappa with Consensus as reference standard; AUC: Area-under-the-curve; Sensitivity and Specificity of the artificial intelligence based on ROC analysis with a maximized Youden index and high sensitivity to avoid re-examinations
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