4.6 Article

Application of mid-infrared microscopic imaging for the diagnosis and classification of human lymphomas

Journal

JOURNAL OF BIOPHOTONICS
Volume 14, Issue 9, Pages -

Publisher

WILEY-V C H VERLAG GMBH
DOI: 10.1002/jbio.202100079

Keywords

diffuse large B-cell-lymphoma; follicular lymphoma; immunohistochemistry; Ki67; mid-infrared microscopic imaging; PD-L1; principal component analyses

Ask authors/readers for more resources

The study demonstrated that mid-infrared microscopic imaging can differentiate between reactive lymph nodes, indolent and aggressive lymphoma samples, and has potential for subtyping lymphomas. This technology shows promise as a useful tool for lymphoma diagnosis and subtyping.
Mid-infrared (MIR) microscopic imaging of indolent and aggressive lymphomas was performed including formalin-fixed and paraffin-embedded samples of six follicular lymphomas and 12 diffuse large B-cell-lymphomas as well as reactive lymph nodes to investigate benefits and challenges for lymphoma diagnosis. MIR images were compared to defined pathological characteristics such as indolent versus aggressive versus reactive, germinal centre versus activated cell-of-origin (COO) subtypes, or a low versus a high proliferative index and level of PD-L1 expression. We demonstrated that MIR microscopic imaging can differentiate between reactive lymph nodes, indolent and aggressive lymphoma samples. Also, it has potential to be used in the subtyping of lymphomas, as shown with the differentiation between COO subtypes, the level of proliferation and PD-L1 expression. MIR microscopic imaging is a promising tool for diagnosis and subtyping of lymphoma and further evaluation is needed to fully explore the advantages and disadvantages of this method for pathological diagnosis.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.6
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available