TY - JOUR
T1 - Automated osteosclerosis grading of clinical biopsies using infrared spectroscopic imaging
AU - Mankar, Rupali
AU - Bueso-Ramos, Carlos E.
AU - Yin, C. Cameron
AU - Hidalgo-Lopez, Juliana Elisa
AU - Berisha, Sebastian
AU - Kansiz, Mustafa
AU - Mayerich, David
N1 - Publisher Copyright:
© 2019 American Chemical Society.
PY - 2020/1/7
Y1 - 2020/1/7
N2 - 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.
AB - 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.
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U2 - 10.1021/acs.analchem.9b03015
DO - 10.1021/acs.analchem.9b03015
M3 - Article
C2 - 31793292
AN - SCOPUS:85076670992
SN - 0003-2700
VL - 92
SP - 749
EP - 757
JO - Analytical Chemistry
JF - Analytical Chemistry
IS - 1
ER -