Quantification of fibrosis and osteosclerosis in myeloproliferative neoplasms: A computer-assisted image study

Carolin J. Teman, Andrew R. Wilson, Sherrie L. Perkins, Kimberly Hickman, Josef T. Prchal, Mohamed E. Salama

Research output: Contribution to journalArticle

21 Scopus citations

Abstract

Evaluation of bone marrow fibrosis and osteosclerosis in myeloproliferative neoplasms (MPN) is subject to interobserver inconsistency. Performance data for currently utilized fibrosis grading systems are lacking, and classification scales for osteosclerosis do not exist. Digital imaging can serve as a quantification method for fibrosis and osteosclerosis. We used digital imaging techniques for trabecular area assessment and reticulin fiber quantification. Patients with all Philadelphia negative MPN subtypes had higher trabecular volume than controls (p≤0.0015). Results suggest that the degree of osteosclerosis helps differentiate primary myelofibrosis from other MPN. Numerical quantification of fibrosis highly correlated with subjective scores, and interobserver correlation was satisfactory. Digital imaging provides accurate quantification for osteosclerosis and fibrosis.

Original languageEnglish (US)
Pages (from-to)871-876
Number of pages6
JournalLeukemia Research
Volume34
Issue number7
DOIs
StatePublished - Jul 1 2010

Keywords

  • Bone marrow fibrosis
  • Digital imaging
  • Myeloproliferative neoplasms
  • Osteosclerosis

ASJC Scopus subject areas

  • Hematology
  • Oncology
  • Cancer Research

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