Appendix Table 3.

Per-patient performance data by reconstruction algorithm for individual readers

Reader	Performance Measure	% [95% CI] (N/total N)	Reconstruction Algorithm
			SD-FBP	RD-FBP	RD-ASIR	RD-MBIR
Reader 1	Sensitivity		0.89 [0.76–1.00] (17/19)	0.74 [0.54–0.93] (14/19)	0.79 [0.61–0.97] (15/19)	0.74 [0.54–0.93] (14/19)
	Specificity		0.90 [0.82–0.98] (46/51)	0.82 [0.72–0.93] (42/51)	0.80 [0.69–0.91] (41/51)	0.80 [0.69–0.91] (41/51)
	Positive Predictive Value		0.77 [0.60–0.95] (17/22)	0.61 [0.41–0.81] (14/23)	0.60 [0.41–0.79] (15/25)	0.58 [0.39–0.78] (14/24)
	Negative Predictive Value		0.96 [0.90–1.00] (46/48)	0.89 [0.81–0.98] (42/47)	0.91 [0.83–0.99] (41/45)	0.89 [0.80–0.98] (41/46)
	Accuracy		0.90 [0.83–0.97] (63/70)	0.80 [0.71–0.89] (56/70)	0.80 [0.71–0.89] (56/70)	0.79 [0.69–0.88] (55/70)
Reader 2	Sensitivity		0.95 [0.85–1.00] (18/19)	0.84 [0.68–1.00] (16/19)	0.89 [0.76–1.00] (17/19)	0.89 [0.76–1.00] (17/19)
	Specificity		0.55 [0.41–0.69] (28/51)	0.61 [0.47–0.74] (31/51)	0.67 [0.54–0.80] (34/51)	0.49 [0.35–0.63] (25/51)
	Positive Predictive Value		0.44 [0.29–0.59] (18/41)	0.44 [0.28–0.61] (16/36)	0.50 [0.33–0.67] (17/34)	0.40 [0.25–0.54] (17/43)
	Negative Predictive Value		0.97 [0.90–1.00] (28/29)	0.91 [0.82–1.00] (31/34)	0.94 [0.87–1.00] (34/36)	0.93 [0.83–1.00] (25/27)
	Accuracy		0.66 [0.55–0.77] (46/70)	0.67 [0.56–0.78] (47/70)	0.73 [0.62–0.83] (51/70)	0.67 [0.49–0.71] (42/70)
Reader 3	Sensitivity		0.89 [0.76–1.00] (17/19)	0.79 [0.61–0.97] (15/19)	0.84 [0.68–1.00] (16/19)	0.89 [0.76–1.00] (17/19)
	Specificity		0.88 [0.79–0.97] (45/51)	0.82 [0.72–0.93] (42/51)	0.78 [0.67–0.90] (40/51)	0.75 [0.63–0.86] (38/51)
	Positive Predictive Value		0.74 [0.56–0.92] (17/23)	0.63 [0.43–0.82] (15/24)	0.59 [0.41–0.78] (16/27)	0.57 [0.39–0.74] (17/30)
	Negative Predictive Value		0.96 [0.90–1.00] (45/47)	0.91 [0.83–0.99] (42/46)	0.93 [0.85–1.00] (40/43)	0.95 [0.88–1.00] (38/40)
	Accuracy		0.89 [0.81–0.96] (62/70)	0.81 [0.72–0.91] (57/70)	0.80 [0.71–0.89] (56/70)	0.79 [0.69–0.88] (55/70)