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. 2022 Nov;63(11):1768–1774. doi: 10.2967/jnumed.121.263686

TABLE 2.

Net Reclassification of Patients with CAD-DL (Explainable Deep Learning Model) Compared With the Same Readers Without CAD-DL

Reclassified 5-point scale likelihood with CAD-DL Reclassified likelihood (%)
5-point scale likelihood without CAD-DL Normal Probably normal Equivocal Probably abnormal Definitely abnormal Increased likelihood Decreased likelihood Net correctly reclassified
Obstructive CAD (n = 360) 47 (13.1%) 25 (6.9%) 6.1% (95% CI 1.4%–10.3%)
 Normal 22 4 2 0 0
 Probably normal 4 34 10 3 3
 Equivocal 0 6 10 14 0
 Probably abnormal 0 1 4 24 11
 Definitely abnormal 0 0 0 10 198
No Obstructive CAD (n = 360) 40 (11.1%) 80 (22.2%) 11.1% (95% CI 4.8%–16.8%)
 Normal 64 11 0 0 0
 Probably normal 18 84 11 5 2
 Equivocal 1 13 11 6 1
 Probably abnormal 0 9 15 29 4
 Definitely abnormal 1 2 6 15 52 Overall NRI + 17.2% (95% CI 9.2%–24.4%, P < 0.001)

Boldface text indicates studies were reclassified in the correct direction and italicized text indicates studies were reclassified in the incorrect direction. A color version of Table 2 appears in the online supplemental materials.

NRI = net reclassification index.