Reticulin-Free Quantitation of Bone Marrow Fibrosis in MPNs: Utility and Applications.

ABSTRACT:

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

SUBMITTER: Ryou H 

PROVIDER: S-EPMC11866042 | biostudies-literature | 2025 Apr

REPOSITORIES: biostudies-literature