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. Author manuscript; available in PMC: 2025 Apr 19.
Published in final edited form as: Radiol Artif Intell. 2025 Mar;7(2):e230506. doi: 10.1148/ryai.230506

Table 4:

Model Classification of n-year lung cancer risk across selected cohorts

NLST-test (n=898) NLST-testnodules (n=896) LS-A (n=882) LI-A (n=219) Consortium-A (n=364) Consortium-B (n=117) Consortium-DECAMP (n=131) Consortium-C (n=115) BRONCH (n=373) Average Rank (range) n=‰
Input Model
Clinical variables Mayo 0.804 [0.798, 0.809] 0.706 [0.704, 0.708] 0.864 [0.862, 0.867] 0.568 [0.565, 0.571] 0.716 [0.712, 0.719] 0.621 [0.615, 0.628] 3.5 (7, 1) n=6
Clinical variables Brock 0.789 [0.782, 0.796] 0.716 [0.714, 0.718] 0.885 [0.883, 0.886] 0.662 [0.659, 0.666] 0.713 [0.710, 0.716] 0.497 [0.494, 0.499] 3.2 (5, 2) n=6
Single CT AI Liao et al. 0.751 [0.747, 0.756] 0.755 [0.750, 0.759] 0.723 [0.712, 0.734] 0.644 [0.635, 0.653] 0.662 [0.660, 0.664] 0.779 [0.776, 0.782] 0.706 [0.703, 0.709] 0.660 [0.656, 0.663] 0.621 [0.614, 0.628] 3.9 (6, 1) n=9
Single CT AI Sybil 0.881 [0.877, 0.885] * 0.879 [0.872, 0.885] * 0.779 [0.768, 0.789] 0.763 [0.756, 0.770] 0.700 [0.694, 0.706] 0.889 [0.884, 0.895] 0.606 [0.597, 0.616] 0.764 [0.756, 0.772] 0.623 [0.618, 0.629] 2.6 (6, 1) n=9
Longitudi nal CT AI DLSTM 0.738 [0.734, 0.743] 0.727 [0.721, 0.731] 0.711 [0.702, 0.720] 0.743 [0.741, 0.745] § 0.778 [0.774, 0.781] § § 3.6 (6, 2) n=5
Longitudi nal CT AI TDViT 0.797 [0.793, 0.802] 0.790 [0.785, 0.794] 0.773 [0.764, 0.781] * 0.753 [0.750, 0.755] § 0.823 [0.820, 0.825] * § § 1.8 (3, 1) n=5
Multimodal DLS 0.783 [0.778, 0.788] 0.776 [0.771, 0.782] 0.810 [0.799, 0.820] * 2.7 (4, 1) n=3
Multimodal DLI 0.856 [0.854, 0.858] * 0.936 [0.935, 0.938] * 0.742 [0.739, 0.745] 0.851 [0.849, 0.854] * 1.5 (3, 1) n=4

Note.—Data are reported as bootstrapped mean area under the receiver operating characteristic curve [95% CI]. The n-year lung cancer risk for each cohort was 2-year risk for each cohort except LI-A, which was 3-year risk, and BRONCH, which was 1-year risk.

*

result was significantly different compared to each other method in the column for p<0.01

nodule characteristics unavailable (missing >10% of nodule size, attenuation, count, spiculation, or lobe location)

prohibitive class imbalance (only 6/23 lung cancer cases have more than one scan)

Missing demographic, smoking history, COPD, or CYFRA covariates

§

No longitudinal imaging

‰ Number of cohort evaluations performed with this model