Hosuk Ryou, Emily Thomas, Marta Wojciechowska, Laura Harding, Ka Ho Tam, Ruoyu Wang, Xuezi Hu, Jens Rittscher, Rosalin Cooper, Daniel Royston
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Reticulin-Free Quantitation of Bone Marrow Fibrosis in MPNs: Utility and Applications
Background
Automated quantitation of marrow fibrosis promises to improve fibrosis assessment in myeloproliferative neoplasms (MPNs). However, analysis of reticulin-stained images is complicated by technical challenges within laboratories and variability between institutions.
Methods
We have developed a machine learning model that can quantitatively assess fibrosis directly from H&E-stained bone marrow trephine tissue sections.
Results
Our haematoxylin and eosin (H&E)-based fibrosis quantitation model demonstrates comparable performance to an existing reticulin-stained model (Continuous Indexing of Fibrosis [CIF]) while benefitting from the improved tissue retention and staining characteristics of H&E-stained sections.
Conclusions
H&E-derived quantitative marrow fibrosis has potential to augment routine practice and clinical trials while supporting the emerging field of spatial multi-omic analysis.
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