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International multicenter tool to predict the risk of four or more tumor-positive axillary lymph nodes in breast cancer patients with sentinel node macrometastases.

  • TJ Meretoja
  • , RA Audisio
  • , PS Heikkilä
  • , R Bori
  • , I Sejben
  • , Peter Regitnig
  • , Gero Luschin-Ebengreuth
  • , J Zgajnar
  • , A Perhavec
  • , B Gazic
  • , G Lázár
  • , T Takács
  • , B Kővári
  • , ZA Saidan
  • , RM Nadeem
  • , I Castellano
  • , A Sapino
  • , S Bianchi
  • , V Vezzosi
  • , E Barranger
  • R Lousquy, R Arisio, MP Foschini, S Imoto, H Kamma, TF Tvedskov, MB Jensen, G Cserni, MH Leidenius

Research output: Contribution to journalResearch article

39 Citations (Web of Science)
Original languageEnglish
JournalBreast Cancer Research and Treatment
DOIs
Publication statusPublished - 2013

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Branches of science

  • 103 Physics, Astronomy
  • 301 Medical-Theoretical Sciences, Pharmacy
  • 305 Other Human Medicine, Health Sciences
  • 302 Clinical Medicine

Research Fields

  • Cancer Research

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