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Journal article : Review

Quantitative interpretation of bone marrow biopsies in MPN—what's the point in a molecular age?

Abstract:
The diagnosis of myeloproliferative neoplasms (MPN) requires the integration of clinical, morphological, genetic and immunophenotypic findings. Recently, there has been a transformation in our understanding of the cellular and molecular mechanisms underlying disease initiation and progression in MPN. This has been accompanied by the widespread application of high-resolution quantitative molecular techniques. By contrast, microscopic interpretation of bone marrow biopsies by haematologists/haematopathologists remains subjective and qualitative. However, advances in tissue image analysis and artificial intelligence (AI) promise to transform haematopathology. Pioneering studies in bone marrow image analysis offer to refine our understanding of the boundaries between reactive samples and MPN subtypes and better capture the morphological correlates of high-risk disease. They also demonstrate potential to improve the evaluation of current and novel therapeutics for MPN and other blood cancers. With increased therapeutic targeting of diverse molecular, cellular and extra-cellular components of the marrow, these approaches can address the unmet need for improved objective and quantitative measures of disease modification in the context of clinical trials. This review focuses on the state-of-the-art in image analysis/AI of bone marrow tissue, with an emphasis on its potential to complement and inform future clinical studies and research in MPN.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1111/bjh.19154

Authors


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Institution:
University of Oxford
Division:
MSD
Department:
RDM
Sub department:
RDM Clinical Laboratory Sciences
Role:
Author
More by this author
Role:
Author
ORCID:
0000-0003-4121-6468
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Sub department:
Institute of Biomedical Engineering
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Sub department:
Institute of Biomedical Engineering
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Sub department:
Institute of Biomedical Engineering
Role:
Author
ORCID:
0000-0002-8528-8298


Publisher:
Wiley
Journal:
British Journal of Haematology More from this journal
Volume:
203
Issue:
4
Pages:
523-535
Place of publication:
England
Publication date:
2023-10-19
Acceptance date:
2023-09-30
DOI:
EISSN:
1365-2141
ISSN:
0007-1048
Pmid:
37858962


Language:
English
Keywords:
Subtype:
Review
Pubs id:
1547570
Local pid:
pubs:1547570
Deposit date:
2023-11-01

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