Automated Osteosclerosis Grading of Clinical Biopsies Using Infrared Spectroscopic Imaging.
Anal Chem
; 92(1): 749-757, 2020 01 07.
Article
em En
| MEDLINE
| ID: mdl-31793292
ABSTRACT
Osteosclerosis and myefibrosis are complications of myeloproliferative neoplasms. These disorders result in excess growth of trabecular bone and collagen fibers that replace hematopoietic cells, resulting in abnormal bone marrow function. Treatments using imatinib and JAK2 pathway inhibitors can be effective on osteosclerosis and fibrosis; therefore, accurate grading is critical for tracking treatment effectiveness. Current grading standards use a four-class system based on analysis of biopsies stained with three histological stains hematoxylin and eosin (H&E), Masson's trichrome, and reticulin. However, conventional grading can be subjective and imprecise, impacting the effectiveness of treatment. In this Article, we demonstrate that mid-infrared spectroscopic imaging may serve as a quantitative diagnostic tool for quantitatively tracking disease progression and response to treatment. The proposed approach is label-free and provides automated quantitative analysis of osteosclerosis and collagen fibrosis.
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Osteosclerose
/
Espectroscopia de Infravermelho com Transformada de Fourier
Tipo de estudo:
Guideline
Limite:
Humans
Idioma:
En
Ano de publicação:
2020
Tipo de documento:
Article