AutoDensity: an automated method to measure mammographic breast density that predicts breast cancer risk and screening outcomes

Table 2 Predicted programme sensitivity according to Cumulus and AutoDensity

		Programme sensitivity (95% CI)
	Dense area categories	Cumulus	AutoDensity
First screening round	Q1	82 (62, 92)	76 (57, 89)
	Q2	82 (63, 92)	80 (61, 91)
	Q3	77 (57, 90)	76 (55, 89)
	Q4	73 (53, 87)	75 (54, 88)
	D9	74 (52, 88)	68 (46, 84)
	D10	65 (43, 83)	68 (46, 84)
Subsequent screening rounds	Q1	65 (41, 84)	59 (36, 79)
	Q2	66 (42, 83)	66 (42, 84)
	Q3	59 (36, 79)	58 (36, 78)
	Q4	54 (32, 74)	56 (34, 76)
	D9	54 (31, 76)	50 (29, 72)
	D10	44 (22, 67)	52 (30, 73)

Breast density was measured as dense area and categorised into quintile-decile groups. Predicted values are generated from regression modelling. We show the predicted programme sensitivity for 50- to 54-year-old women with no significant breast symptoms, not on hormone therapy and with no family history of breast cancer.

ISSN: 1465-542X