Titre:
  • Artificial intelligence-based tumour infiltrating lymphocyte quantification in patients with triple-negative breast cancer: an independent validation study.
Auteur:Dixon-Douglas, Julia R; Drubay, Damien; Salgado, Roberto; Acs, Balazs; van der Laak, Jeroen; Yuan, Yinyin; Amgad, Mohamed; Cooper, Lee; Hagos, Yeman; AbdulJabbar, Khalid; Meakin, James; van Ginneken, Bram; Yan, Haixi; Lemonnier, Jerome; Penault-Llorca, Frédérique; Lacroix-Triki, Magali; Joensuu, Heikki; Kellokumpu-Lehtinen, Pirkko-Liisa; Loibl, Sybille; Denkert, Carsten; Viale, Giuseppe; Colleoni, Marco Angelo; Sotiriou, Christos; Piccart, Martine; Dieci, Maria Vittoria; Demaria, Sandra; Kammler, Roswitha; Wolff, Antonio C; Sparano, Joseph A; Adams, Sylvia; Badve, Sunil; Gray, Robert James R.; Curigliano, Giuseppe; Salomon, Anne Vincent; Nielsen, Torsten O; Pusztai, Lajos; Ciompi, Francesco; Michiels, Stefan; Loi, Sherene; International Immuno-Oncology Biomarker Working Group,
Informations sur la publication:Lancet oncology, 27, 9, page (1181-1192)
Statut de publication:Publié, 2026-09
Sujet CREF:Sciences bio-médicales et agricoles
MeSH keywords:Humans
Female
Triple Negative Breast Neoplasms -- pathology -- immunology -- mortality -- therapy
Lymphocytes, Tumor-Infiltrating -- pathology -- immunology
Artificial Intelligence
Prognosis
Middle Aged
Reproducibility of Results
Prospective Studies
Disease-Free Survival
Aged
Randomized Controlled Trials as Topic
Adult
ROC Curve
Langue:Anglais
Identificateurs:urn:issn:1470-2045
info:doi/10.1016/S1470-2045(26)00339-6
info:pii/S1470-2045(26)00339-6
info:pmid/42636839
PMC13644576