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. 2022 Dec 7;110(2):217–224. doi: 10.1093/bjs/znac391

Table 2.

Performance of MRI and PET–CT for the prediction of pCR at the time of surgery

Breast MRI
(n = 47*)
PET–CT
(n = 45†)
Accuracy (%) 77 (62, 88) 78 (63, 89)
Sensitivity (%) 77 (55, 92) 50 (27, 73)
Specificity (%) 76 (55, 91) 100 (86, 100)
False-negative rate (1 – sensitivity) (%) 23 (8, 45) 50 (27, 73)
False-positive rate (1 – specificity) (%) 24 (9, 45) 0
Positive predictive value (%) 74 (52, 90) 100 (69, 100)
Negative predictive value (%) 79 (58, 93) 71 (54, 85)

Values in parentheses are 95% exact confidence intervals. The analysis included 50 patients: 22 with an imaging complete response (2 with residual disease at vacuum-assisted breast biopsy (VABB) and 20 with a complete response at VABB included in primary analysis) and 28 with residual disease at postneoadjuvant therapy imaging. *Three patients had missing information on MRI. †Five patients had missing information on PET.