Computer-driven quantitative image analysis in the assessment of tumor cell and T cell features in diffuse large B cell lymphomas
Abstract
Diffuse large B cell lymphoma (DLBCL) is recognized as the most common non-Hodgkin lymphoma subtype. Advanced high-resolution digital scans of pathology slides have enabled the development of computer-based image analysis algorithms that may assist pathologists in quantifying immunohistochemical stains. In this retrospective study, we reviewed data from 29 patients affected by DLBCL. In order to evaluate the number of tumor cells and microenvironment T cells, we performed an analysis of CD20, Ki67, and CD3 counts, assessed with the Positive Pixel Count algorithm embedded in the Aperio ImageScope software. A lower tumor cell count was observed in patients with a non-germinal center immunophenotype, high LDH, splenomegaly and an IPI ≥ 3. A lower number of CD3 was observed in patients with bulky disease, an IPI ≥ 3 and disease stage 3-4. Overall, these data confirm that quantitative analysis of the tumor cells and of the tumor microenvironment by means of computer-driven quantitative image analysis may add new information in DLBCL diagnosis.
Autore Pugliese
Tutti gli autori
-
RIBATTI D.;MAIORANO E.;LADDAGA F.E.;GAUDIO F.;SPECCHIA G.;INGRAVALLO G.
Titolo volume/Rivista
Non Disponibile
Anno di pubblicazione
2018
ISSN
0939-5555
ISBN
Non Disponibile
Numero di citazioni Wos
Nessuna citazione
Ultimo Aggiornamento Citazioni
Non Disponibile
Numero di citazioni Scopus
Non Disponibile
Ultimo Aggiornamento Citazioni
Non Disponibile
Settori ERC
Non Disponibile
Codici ASJC
Non Disponibile
Condividi questo sito sui social