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Table 5 Diagnostic performance of the clinical model, radiomics nomogram, and readers in the training and validation cohorts

From: An MRI-based radiomics nomogram for detecting cervical esophagus invasion in hypopharyngeal squamous cell carcinoma

 

AUC

Accuracy

Sensitivity

Specitivity

Training cohort

    

 Radiomics nomogram

0.923 (0.876, 0.971)

84.2 (83.9, 84.4)

97.4 (92.5, 100)

75.8 (65.1, 86.5)

 Clinical model

0.723 (0.630, 0.817)

68.3 (67.9, 68.7)

61.5 (46.3, 76.8)

72.6 (61.5, 83.7)

 Pooled readers

0.621 (0.523, 0.719)

63.4 (62.9, 63.8)

56.4 (40.8, 72.0)

67.7 (56.1, 79.4)

 Radiologist 1

0.617 (0.519, 0.716)

62.4 (61.9, 62.8)

59.0 (43.5, 74.4)

64.5 (52.6, 76.4)

 Radiologist 2

0.664 (0.574, 0.753)

63.4 (62.9, 63.8)

79.5 (66.8, 92.2)

53.2 (40.8, 65.6)

Validation cohort

    

 Radiomics nomogram

0.888 (0.792, 0.983)

84.0 (83.5, 84.5)

73.1 (56.0, 90.1)

95.8 (87.8, 100)

 Clinical model

0.754 (0.617, 0.891)

72.0 (71.2, 72.8)

65.4 (47.1, 83.7)

79.2 (62.9, 95.4)

 Pooled readers

0.647 (0.524, 0.771)

64.0 (63.1, 64.9)

46.2 (27.0, 65.3)

83.3 (68.4, 98.2)

 Radiologist 1

0.623 (0.489, 0.758)

62.0 (61.1, 62.9)

53.8 (34.7, 73.0)

70.8 (52.6, 89.0)

 Radiologist 2

0.659 (0.525, 0.793)

66.0 (65.1, 66.9)

69.2 (51.5, 87.0)

62.5 (43.1, 81.9)

  1. Data are presented as percentages, except AUC; 95% confidence intervals are included in parentheses
  2. AUC, area under the curve