Predicting benefit from immune checkpoint inhibitors in patients with non-small-cell lung cancer by CT-based ensemble deep learning: a retrospective study.
Saad MB, Hong L, Aminu M, Vokes NI, Chen P, Salehjahromi M, Qin K, Sujit SJ, Lu X, Young E, Al-Tashi Q, Qureshi R, Wu CC, Carter BW, Lin SH, Lee PP, Gandhi S, Chang JY, Li R, Gensheimer MF, Wakelee HA, Neal JW, Lee HS, Cheng C, Velcheti V, Lou Y, Petranovic M, Rinsurongkawong W, Le X, Rinsurongkawong V, Spelman A, Elamin YY, Negrao MV, Skoulidis F, Gay CM, Cascone T, Antonoff MB, Sepesi B, Lewis J, Wistuba II, Hazle JD, Chung C, Jaffray D, Gibbons DL, Vaporciyan A, Lee JJ, Heymach JV, Zhang J, Wu J.
Saad MB, et al.
Lancet Digit Health. 2023 Jul;5(7):e404-e420. doi: 10.1016/S2589-7500(23)00082-1. Epub 2023 May 31.
Lancet Digit Health. 2023.
PMID: 37268451
Free PMC article.
INTERPRETATION: This proof-of-concept study shows that automated profiling of radiographic scans through deep learning can provide orthogonal information independent of existing clinicopathological biomarkers, bringing the goal of precision immunotherapy for patients with NSCLC …
INTERPRETATION: This proof-of-concept study shows that automated profiling of radiographic scans through deep learning can provide orthogona …