Quantitative Chemical Imaging of Bone Tissue for Intraoperative and Diagnostic Applications.
Quantitative Chemical Imaging of Bone Tissue for Intraoperative and Diagnostic Applications.
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DOI:
10.1021/acs.analchem.1c04354
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发表时间:
2022-03-08
影响因子:
7.4
通讯作者:
Fu D
中科院分区:
文献类型:
--
作者:
Shin KS;Men S;Wong A;Cobb-Bruno C;Chen EY;Fu D
Bone is difficult to image using traditional histopathological methods, leading to challenges in intraoperative pathological evaluation that is critical in guiding surgical treatment, particularly in orthopedic oncology. In this study, we demonstrate that a multimodal quantitative imaging approach that combines stimulated Raman scattering (SRS) microscopy, two-photon fluorescence (TPF) microscopy, and second harmonic generation (SHG) microscopy can provide useful diagnostic information regarding intact bone tissue fragments from surgical excision or biopsy specimens. We imaged bone samples from 17 patient cases and performed quantitative chemical and morphological analyses of both mineral and organic components of bone. Our main findings show that carbonate content combined with morphometric analysis of bone organic matrix can separate several major classes of bone cancer associated diagnostic categories with an average accuracy of 92%. This proof-of-principle study demonstrate that quantitative multimodal imaging and machine learning-based analysis of bony tissue can provide crucial diagnostic information for guiding clinical decisions in orthopedic oncology. Moreover, the general methodology of morphological and chemical imaging combined with machine learning can be readily extended to other tissue types for tissue diagnosis in intraoperative and other clinical settings.
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影响因子:
4.1
作者:
Bi, Xiaohong;Sterling, Julie A.;Merkel, Alyssa R.;Perrien, Daniel S.;Nyman, Jeffry S.;Mahadevan-Jansen, Anita
通讯作者:
Mahadevan-Jansen, Anita
影响因子:
20.4
作者:
Mandrekar, Jayawant N.
通讯作者:
Mandrekar, Jayawant N.
DOI:
10.1002/cyto.990080610
发表时间:
1987-11-01
期刊:
CYTOMETRY
影响因子:
--
作者:
BAUER, HCF;KREICBERGS, A
通讯作者:
KREICBERGS, A
影响因子:
23.8
作者:
Manifold B;Men S;Hu R;Fu D
通讯作者:
Fu D
DOI:
10.1038/labinvest.2017.116
发表时间:
2018-01
期刊:
Laboratory investigation; a journal of technical methods and pathology
影响因子:
--
作者:
Cahill LC;Giacomelli MG;Yoshitake T;Vardeh H;Faulkner-Jones BE;Connolly JL;Sun CK;Fujimoto JG
通讯作者:
Fujimoto JG