2021
DOI: 10.1038/s41598-021-82157-9
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Quantitative evaluation of the human vocal fold extracellular matrix using multiphoton microscopy and optical coherence tomography

Abstract: Identifying distinct normal extracellular matrix (ECM) features from pathology is of the upmost clinical importance for laryngeal diagnostics and therapy. Despite remarkable histological contributions, our understanding of the vocal fold (VF) physiology remains murky. The emerging field of non-invasive 3D optical imaging may be well-suited to unravel the complexity of the VF microanatomy. This study focused on characterizing the entire VF ECM in length and depth with optical imaging. A quantitative morphometri… Show more

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Cited by 10 publications
(8 citation statements)
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“…However, their position and dimensions closely match reported geometric data obtained for histology LP subdivisions (SLP, ILP, DLP) 43 . Furthermore, we previously demonstrated the ability to differentiate the VF subepithelial structures ex vivo with OCT and validated our findings with anatomical measurements made on fixed laryngeal tissue 58,59 . Moreover, numerous studies have already established the correlation of OCT imaging with light microscopy 35,60,61 …”
Section: Discussionsupporting
confidence: 83%
See 1 more Smart Citation
“…However, their position and dimensions closely match reported geometric data obtained for histology LP subdivisions (SLP, ILP, DLP) 43 . Furthermore, we previously demonstrated the ability to differentiate the VF subepithelial structures ex vivo with OCT and validated our findings with anatomical measurements made on fixed laryngeal tissue 58,59 . Moreover, numerous studies have already established the correlation of OCT imaging with light microscopy 35,60,61 …”
Section: Discussionsupporting
confidence: 83%
“…43 Furthermore, we previously demonstrated the ability to differentiate the VF subepithelial structures ex vivo with OCT and validated our findings with anatomical measurements made on fixed laryngeal tissue. 58,59 Moreover, numerous studies have already established the correlation of OCT imaging with light microscopy. 35,60,61 Our inability to provide a molecular landscape of the subepithelial VF, such as the extracellular matrix's fibrous protein composition, is another limitation.…”
Section: Discussionmentioning
confidence: 99%
“…TPEF continues to be a powerful tool in the quantification of the ECM and has found several recent uses in mapping the ECM. In 2021, Benbouja and Hartnick used TPEF to quantify the morphology of the ECM in human vocal cords [ 77 ]. TPEF was used alongside other nonlinear optical methods to characterize the structure and organization of the ECM of the vocal folds, especially in targeting the elastic fibers found in the ECM.…”
Section: Imaging the Ecm Components: Past Present And Future Challengesmentioning
confidence: 99%
“…TPEF was used alongside other nonlinear optical methods to characterize the structure and organization of the ECM of the vocal folds, especially in targeting the elastic fibers found in the ECM. They found that the ECM of human vocal folds has several distinct regions, which may explain why and where some pathologies occur and demonstrated the use of TPEF in mapping the architecture of the vocal fold in real-time during surgeries [ 77 ]. Hsaio et al used TPEF in their improved evaluation of liver fibrosis [ 71 ].…”
Section: Imaging the Ecm Components: Past Present And Future Challengesmentioning
confidence: 99%
“…These techniques have found extensive use in imaging the ECM, due to their suitability in visualizing structural components, such as fibrillar collagen, elastin, and fibronectin [57][58][59]. TPEF has found use in visualizing the structure of the ECM in human vocal cords, specifically the elastin fibers [60], and in imaging the structure of fibrotic liver tissue [61], making the technique useful in the characterisation of the ECM. While TPEF can still rely on exogenous fluorophores, it can also harness endogenous fluorophores, making it particularly suitable for live tissue imaging.…”
Section: Nonlinear Optical Microscopymentioning
confidence: 99%