Prediction of B/T Subtype and ETV6-RUNX1 Translocation in Pediatric Acute Lymphoblastic Leukemia by Deep Learning Analysis of Giemsa-Stained Whole Slide Images of Bone Marrow Aspirates.

Journal: Pediatric blood & cancer
Published Date:

Abstract

BACKGROUND: Accurate determination of B/T-cell lineage and the presence of the ETV6-RUNX1 translocation is critical for diagnosing acute lymphoblastic leukemia (ALL), as these factors influence treatment decisions and outcomes. However, these diagnostic processes often rely on advanced tools unavailable in low-resource settings, creating a need for alternative solutions.

Authors

  • Arkadi Piven
    Department of Computer Science, Technion Israel Institute of Technology, Haifa, Israel.
  • Gil Shamai
    Department of Electrical Engineering, Technion Israel Institute of Technology, Haifa, Israel.
  • Sarah Elitzur
    Department of Hematology and Oncology, Schneider Children's Medical Center of Israel, Petah Tikva, Israel.
  • Galit Pinto Berger
    Department of Hematology and Oncology, Schneider Children's Medical Center of Israel, Petah Tikva, Israel.
  • Yoav Binenbaum
    Laboratory of Pediatric Oncology, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel.
  • Ron Kimmel
    Departmemt of Computer Science, Technion Israel Institute of Technology, Haifa, Israel.
  • Ronit Elhasid
    Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.