Quantitative DCE-MRI prediction of breast cancer recurrence following neoadjuvant chemotherapy: a preliminary study

Table 2 MRI Metrics for Prediction of Recurrence

MRI metrics	No recurrence (N = 40) Mean (SD)	Recurrence (N = 7) Mean (SD)	p-value	ULR C statistics value	95% CI
RECIST tumor size measurement
LD_V1 (mm)	38.73 (20.37)	48.83 (35.64)	0.29	0.541	[0.26, 0.822]
LD_V4 (mm)	16.23 (14.28)	34.09 (27.18)	0.013	0.714	[0.459, 0.97]
LD_V4_1%	-0.58 (0.33)	-0.36 (0.36)	0.12	0.684	[0.43, 0.938]
DCE-MRI parameters
K^trans_V1 (min^− 1)	0.14 (0.10)	0.30 (0.25)	0.007	0.725	[0.501, 0.95]
v_e_V1	0.54 (0.11)	0.57 (0.07)	0.5	0.553	[0.349, 0.757]
k_ep_V1 (min^− 1)	0.31 (0.23)	0.53 (0.40)	0.047	0.681	[0.45, 0.913]
τ_i_V1 (s)	0.78 (0.30)	0.69 (0.20)	0.45	0.593	[0.375, 0.812]
K^trans_V4 (min^− 1)	0.03 (0.03)	0.14 (0.17)	< 0.001	0.812	[0.636, 0.988]
v_e_V4	0.63 (0.19)	0.56 (0.13)	0.347	0.647	[0.445, 0.848]
k_ep_V4 (min^− 1)	0.08 (0.08)	0.35 (0.41)	< 0.001	0.752	[0.530, 0.974]
τ_i_V4 (s)	0.99 (0.44)	0.67 (0.39)	0.083	0.726	[0.489, 0.962]
K^trans_V4_1%	-0.74 (0.24)	-0.37 (0.60)	0.006	0.62	[0.288, 0.953]
v_e_V4_1%	0.18 (0.38)	-0.02 (0.16)	0.175	0.699	[0.537, 0.861]
k_ep_V4_1%	-0.66 (0.48)	0.00 (1.13)	0.012	0.628	[0.295, 0.961]
τ_i_V4_1%	0.53 (1.07)	0.02 (0.50)	0.223	0.617	[0.389, 0.844]

ULR - Univariable logistic regression, 95% CI – 95% confidence interval for the C value, LD – Longest diameter, V1 – Visit 1 (pre-NACT MRI), V4 – Visit 4 (post NACT, pre-surgery MRI), V4_1% - corresponding percent changes (V4 relative to V1)

ISSN: 1471-2342