| Title | A prognostic model for overall survival of patients with early-stage non-small cell lung cancer: a multicentre, retrospective study. |
| Publication Type | Journal Article |
| Year of Publication | 2020 |
| Authors | Lu, C, Bera K, Wang X, Prasanna P, Xu J, Janowczyk A, Beig N, Yang M, Fu P, Lewis J, Choi H, Schmid RA, Berezowska S, Schalper K, Rimm D, Velcheti V, Madabhushi A |
| Journal | The Lancet. Digital health |
| Volume | 2 |
| Issue | 11 |
| Pagination | e594-e606 |
| Date Published | 2020 11 |
| ISSN | 2589-7500 |
| Keywords | Aged, Carcinoma, Non-Small-Cell Lung, Databases, Factual, Female, Humans, Male, Middle Aged, Neoplasm Staging, Prognosis, Proportional Hazards Models, Retrospective Studies, Survival Analysis |
| Abstract | Intratumoural heterogeneity has been previously shown to be related to clonal evolution and genetic instability and associated with tumour progression. Phenotypically, it is reflected in the diversity of appearance and morphology within cell populations. Computer-extracted features relating to tumour cellular diversity on routine tissue images might correlate with outcome. This study investigated the prognostic ability of computer-extracted features of tumour cellular diversity (CellDiv) from haematoxylin and eosin (H&E)-stained histology images of non-small cell lung carcinomas (NSCLCs). |
| DOI | 10.1016/s2589-7500(20)30225-9 |
| PDF Link | |
| Alternate Journal | Lancet Digit Health |
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