Rapid prediction of stem cell mobilization using volume and conductivity data from automated hematology analyzers
Author:
Affiliation:
1. Department of Pathology and Laboratory Medicine; Hospital of the University of Pennsylvania
2. Department of Biostatistics, Epidemiology, and Informatics; Perelman School of Medicine, University of Pennsylvania; Philadelphia Pennsylvania.
Funder
National Institutes of Health
Publisher
Wiley
Subject
Hematology,Immunology,Immunology and Allergy
Link
http://onlinelibrary.wiley.com/wol1/doi/10.1111/trf.14449/fullpdf
Reference22 articles.
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2. VI. Autologous stem cell transplantation and maintenance therapy;Moreau;Hematol Oncol,2013
3. Hematopoietic rescue after high-dose chemotherapy using autologous peripheral-blood progenitor cells or bone marrow: a randomized comparison;Beyer;J Clin Oncol,1995
4. Optimizing autologous cell grafts to improve stem cell gene therapy;Psatha;Exp Hematol,2016
5. Optimizing mobilization strategies in difficult-to-mobilize patients: the role of plerixafor;Goker;Transfus Apher Sci,2015
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1. Apheresis product total CD34+ cell count prediction at peripheral stem cell collection via a formula: A multicenter study;Transplant Immunology;2024-10
2. Predictive model of the efficiency of hematopoietic stem cell collection in patients with multiple myeloma and lymphoma based on multiple peripheral blood markers;International Journal of Laboratory Hematology;2024-07-03
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