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Table 3 Diagnostic performances of models concerning prediction of pathologic complete response to neoadjuvant chemotherapy

From: Biomechanical parameters quantified by MR elastography for predicting response to neoadjuvant chemotherapy and disease-free survival in breast cancer: a prospective longitudinal study

Model

AUC

Sensitivity

Specificity

Accuracy

PPV

NPV

Clinicopathologic model§

0.79 (0.73, 0.84)

66 (41/62)

80 (138/173)

76 (179/235)

54 (41/76)

87 (138/159)

MRI model*

0.92 (0.87, 0.95)

90 (56/62)

82 (142/173)

84 (198/235)

64 (56/87)

96 (142/148)

Combined modelǁ

0.95 (0.92, 0.98)

89 (55/62)

90 (156/173)

90 (211/235)

76 (55/72)

96 (156/163)

  1. Note.—Unless otherwise specified, data are presented as percentages (numbers of participants).
  2. AUC = area under the receiver operating characteristic curve; PPV = positive predictive value; NPV = negative predictive value
  3. Data are presented as mean AUCs (bootstrapped 95% confidence intervals)
  4. §Including progesterone receptor and human epidermal growth factor receptor-2
  5. *Including T2-c and T2-φ
  6. ǁIncluding progesterone receptor, human epidermal growth factor receptor-2, T2-c, and T2-φ