notesum.ai
Published at October 28Multi-modal AI for comprehensive breast cancer prognostication
Released Date: October 28, 2024
Authors: Jan Witowski, Ken Zeng, Joseph Cappadona, Jailan Elayoubi, Elena Diana Chiru, Nancy Chan, Young-Joon Kang, Frederick Howard, Irina Ostrovnaya, Carlos Fernandez-Granda, Freya Schnabel, Ugur Ozerdem, Kangning Liu, Zoe Steinsnyder, Nitya Thakore, Mohammad Sadic, Frank Yeung, Elisa Liu, Theodore Hill, Benjamin Swett, Danielle Rigau, Andrew Clayburn, Valerie Speirs, Marcus Vetter, Lina Sojak, Simone Muenst Soysal, Daniel Baumhoer, Khalil Choucair, Yu Zong, Lina Daoud, Anas Saad, Waleed Abdulsattar, Rafic Beydoun, Jia-Wern Pan, Haslina Makmur, Soo-Hwang Teo, Linda Ma Pak, Victor Angel, Dovile Zilenaite-Petrulaitiene, Arvydas Laurinavicius, Natalie Klar, Brian D. Piening, Carlo Bifulco, Sun-Young Jun, Jae Pak Yi, Su Hyun Lim, Adam Brufsky, Francisco J. Esteva, Lajos Pusztai, Yann LeCun, Krzysztof J. Geras

| Category | Training cohorts (N=4,659) | Evaluation cohorts(N=3,502) | |
| Age median, [IQR] | 58 [49-68] | 60 [51-68] | |
| Follow-up time median, [IQR] | 5.11 [3.62-8.31] | 4.51 [2.42-7.15] | |
| ER receptor status | |||
| Positive | 3748 (80.45%) | 2992 (85.44%) | |
| Negative | 540 (11.59%) | 399 (11.39%) | |
| Unknown | 371 (7.96%) | 111 (3.17%) | |
| PR receptor status | |||
| Positive | 2676 (57.44%) | 2648 (75.61%) | |
| Negative | 1010 (21.68%) | 728 (20.79%) | |
| Unknown | 973 (20.88%) | 126 (3.60%) | |
| HER2 receptor status | |||
| Positive | 377 (8.09%) | 348 (9.94%) | |
| Negative | 3286 (70.53%) | 2702 (77.16%) | |
| Equivocal or Unknown | 996 (21.38%) | 452 (12.91%) | |
| T stage | |||
| T1 | 1880 (40.35%) | 1869 (53.37%) | |
| T2 | 1780 (38.21%) | 1287 (36.75%) | |
| T3 | 252 (5.41%) | 225 (6.42%) | |
| T4 | 51 (1.09%) | 40 (1.14%) | |
| Unknown/TX | 464 (9.96%) | 81 (2.31%) | |
| N stage | |||
| N0 | 2550 (54.73%) | 2284 (65.22%) | |
| N1 | 1174 (25.20%) | 839 (23.96%) | |
| N2 | 251 (5.39%) | 156 (4.45%) | |
| N3 | 141 (3.03%) | 86 (2.46%) | |
| Unknown/NX | 543 (11.65%) | 137 (3.91%) | |
| Ductal histology | |||
| Yes | 3567 (76.56%) | 1392 (39.75%) | |
| No | 904 (19.40%) | 377 (10.77%) | |
| Unknown | 188 (4.04%) | 1733 (49.49%) | |
| Lobular histology | |||
| Yes | 600 (12.88%) | 359 (10.25%) | |
| No | 3871 (83.09%) | 1410 (40.26%) | |
| Unknown | 188 (4.04%) | 1733 (49.49%) | |
| Any recurrence | |||
| Yes | 726 (15.58%) | 279 (7.97%) | |
| No | 3933 (84.42%) | 3223 (92.03%) | |
| Distant recurrence | |||
| Yes | 457 (9.81%) | 174 (4.97%) | |
| No | 4098 (87.96%) | 3328 (95.03%) | |
| Unknown | 104 (2.23%) | 0 (0.00%) | |
| Death | |||
| Yes | 935 (20.07%) | 303 (8.65%) | |
| No | 3710 (79.63%) | 3199 (91.35%) | |
| Unknown | 14 (0.30%) | 0 (0.00%) | |
| Adjuvant chemo- and endocrine therapy | |||
| Chemoendocrine therapy | 1124 (24.13%) | 768 (21.93%) | |
| Chemotherapy only | 564 (12.11%) | 500 (14.28%) | |
| Endocrine therapy only | 1551 (33.29%) | 1442 (41.18%) | |
| Unknown | 729 (15.65%) | 368 (10.51%) | |