Please use this identifier to cite or link to this item:
Full metadata record
DC FieldValueLanguage
dc.contributor.authorZimmermann, Eric-
dc.contributor.authorMukherjee, Sudipta S-
dc.contributor.authorFalahkheirkhah, Kianoush-
dc.contributor.authorGryka, Mark C-
dc.contributor.authorKajdacsy-Balla, Andre-
dc.contributor.authorHasan, Wohaib-
dc.contributor.authorGiraud, George-
dc.contributor.authorTibayan, Fred-
dc.contributor.authorRaman, Jai S-
dc.contributor.authorBhargava, Rohit-
dc.identifier.citationArchives of Pathology & Laboratory Medicine 2021; online first: 23 Marchen
dc.description.abstractMyocardial fibrosis underpins a number of cardiovascular conditions and is difficult to identify with standard histologic techniques. Challenges include imaging, defining an objective threshold for classifying fibrosis as mild or severe, as well as understanding the molecular basis for these changes. To develop a novel, rapid, label-free approach to accurately measure and quantify the extent of fibrosis in cardiac tissue using infrared spectroscopic imaging. We performed infrared spectroscopic imaging and combined that with advanced machine learning-based algorithms to assess fibrosis in 15 samples from patients belonging to the following 3 classes: (1) nonpathologic (control) donor hearts; (2) patients receiving transplant; and (3) tissue from patients undergoing implantation of ventricular assist device. Our results show excellent sensitivity and accuracy for detecting myocardial fibrosis as demonstrated by high area under the curve of 0.998 in the receiver-operating characteristic curve measured from infrared imaging. Fibrosis of various morphologic subtypes are then demonstrated with virtually generated picrosirius red images, which show good visual and quantitative agreement (correlation coefficient = 0.92, ρ = 7.76 × 10-15) with stained images of the same sections. Underlying molecular composition of the different subtypes were investigated with infrared spectra showing reproducible differences presumably arising from differences in collagen subtypes and/or crosslinking. Infrared imaging can be a powerful tool in studying myocardial fibrosis and gleaning insights into the underlying chemical changes that accompany it. Emerging methods suggest that the proposed approach is compatible with conventional optical microscopy and its consistency makes it translatable to the clinical setting for real-time diagnoses as well as for objective and quantitative research.en
dc.titleDetection and Quantification of Myocardial Fibrosis Using Stain-Free Infrared Spectroscopic Imaging.en
dc.typeJournal Articleen
dc.identifier.journaltitleArchives of Pathology & Laboratory Medicineen
dc.identifier.affiliationCenter for Developmental Health, Oregon Health & Science University, Portlanden
dc.identifier.affiliationThe Department of Surgery, St Vincent's Hospital, University of Melbourne, Fitzroy, Victoria, Australiaen
dc.identifier.affiliationBeckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana..en
dc.identifier.affiliationDepartment of Bioengineeringen
dc.identifier.affiliationDepartment of Electrical and Computer Engineeringen
dc.identifier.affiliationMechanical Science and Engineeringen
dc.identifier.affiliationCancer Center at Illinoisen
dc.identifier.affiliationDepartment of Chemical and Biomolecular Engineeringen
dc.identifier.affiliationDepartment of Pathology, University of Illinois at Chicago, Chicago..en
dc.identifier.affiliationDepartment of Pathology and Laboratory Medicine, Cedars-Sinai, Los Angeles, Californiaen
dc.identifier.affiliationFrom the Center for Developmental Health, Oregon Health & Science University, Portlanden
dc.identifier.affiliationSurgery (University of Melbourne)en
Appears in Collections:Journal articles
Show simple item record

Page view(s)

checked on Jun 22, 2021

Google ScholarTM


Items in AHRO are protected by copyright, with all rights reserved, unless otherwise indicated.