Fulltext

Classification of follicular lymphoma: the effect of computer aid on pathologists grading

Fauzi MF 1 , Pennell M 2 , Sahiner B 3 , Chen W 3 , Shana'ah A 4 , Hemminger J 4 Show all authors , Gru A 4 , Kurt H 4 , Losos M 4 , Joehlin-Price A 4 , Kavran C 4 , Smith SM 4 , Nowacki N 4 , Mansor S 4 , Lozanski G 4 , Gurcan MN 5

Affiliations 

  • 1 Faculty of Engineering, Multimedia University, 63100, Cyberjaya, Selangor, Malaysia
  • 2 Division of Biostatistics, College of Public Health, The Ohio State University, Columbus, OH, USA
  • 3 Center for Devices and Radiological Health, US Food and Drug Administration, Silver Spring, MD, USA
  • 4 Department of Pathology, The Ohio State University, Columbus, OH, USA
  • 5 Department of Biomedical Informatics, The Ohio State University, 250 Lincoln Tower, 1800 Cannon Drive, Columbus, OH, 43210, USA. metin.gurcan@osumc.edu
BMC Med Inform Decis Mak, 2015;15:115.
PMID: 26715518 DOI: 10.1186/s12911-015-0235-6

Abstract

Follicular lymphoma (FL) is one of the most common lymphoid malignancies in the western world. FL cases are stratified into three histological grades based on the average centroblast count per high power field (HPF). The centroblast count is performed manually by the pathologist using an optical microscope and hematoxylin and eosin (H&E) stained tissue section. Although this is the current clinical practice, it suffers from high inter- and intra-observer variability and is vulnerable to sampling bias.

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.

Similar publications