Literature DB >> 32247986

Clinical label-free biochemical and metabolic fluorescence lifetime endoscopic imaging of precancerous and cancerous oral lesions.

Elvis Duran-Sierra1, Shuna Cheng1, Rodrigo Cuenca-Martinez2, Bilal Malik3, Kristen C Maitland1, Y S Lisa Cheng4, John Wright4, Beena Ahmed2, Jim Ji2, Mathias Martinez5, Moustafa Al-Khalil5, Hussain Al-Enazi6, Javier A Jo7.   

Abstract

INTRODUCTION: Incomplete head and neck cancer resection occurs in up to 85% of cases, leading to increased odds of local recurrence and regional metastases; thus, image-guided surgical tools for accurate, in situ and fast detection of positive margins during head and neck cancer resection surgery are urgently needed. Oral epithelial dysplasia and cancer development is accompanied by morphological, biochemical, and metabolic tissue and cellular alterations that can modulate the autofluorescence properties of the oral epithelial tissue.
OBJECTIVE: This study aimed to test the hypothesis that autofluorescence biomarkers of oral precancer and cancer can be clinically imaged and quantified by means of multispectral fluorescence lifetime imaging (FLIM) endoscopy.
METHODS: Multispectral autofluorescence lifetime images of precancerous and cancerous lesions from 39 patients were imaged in vivo using a novel multispectral FLIM endoscope and processed to generate widefield maps of biochemical and metabolic autofluorescence biomarkers of oral precancer and cancer.
RESULTS: Statistical analyses applied to the quantified multispectral FLIM endoscopy based autofluorescence biomarkers indicated their potential to provide contrast between precancerous/cancerous vs. healthy oral epithelial tissue.
CONCLUSION: To the best of our knowledge, this study represents the first demonstration of label-free biochemical and metabolic clinical imaging of precancerous and cancerous oral lesions by means of widefield multispectral autofluorescence lifetime endoscopy. Future studies will focus on demonstrating the capabilities of endogenous multispectral FLIM endoscopy as an image-guided surgical tool for positive margin detection during head and neck cancer resection surgery.
Copyright © 2020 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Autofluorescence biomarkers; Fluorescence lifetime imaging (FLIM); Oral cancer and dysplasia; Statistical analysis

Mesh:

Year:  2020        PMID: 32247986      PMCID: PMC7453422          DOI: 10.1016/j.oraloncology.2020.104635

Source DB:  PubMed          Journal:  Oral Oncol        ISSN: 1368-8375            Impact factor:   5.337


  31 in total

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2.  Microanatomical and biochemical origins of normal and precancerous cervical autofluorescence using laser-scanning fluorescence confocal microscopy.

Authors:  Ina Pavlova; Konstantin Sokolov; Rebekah Drezek; Anais Malpica; Michele Follen; Rebecca Richards-Kortum
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3.  Oxidation-reduction ratio studies of mitochondria in freeze-trapped samples. NADH and flavoprotein fluorescence signals.

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4.  Optically sectioned wide-field fluorescence lifetime imaging microscopy enabled by structured illumination.

Authors:  Taylor Hinsdale; Cory Olsovsky; Jose J Rico-Jimenez; Kristen C Maitland; Javier A Jo; Bilal H Malik
Journal:  Biomed Opt Express       Date:  2017-02-08       Impact factor: 3.732

5.  Intraoperative gross examination vs frozen section for achievement of adequate margin in oral cancer surgery.

Authors:  Manish Mair; Deepa Nair; Sudhir Nair; Sourav Dutta; Apoorva Garg; Akshat Malik; Aseem Mishra; Rathan Shetty Ks; Pankaj Chaturvedi
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6.  Time-resolved laser-induced fluorescence spectroscopy as a diagnostic instrument in head and neck carcinoma.

Authors:  Jeremy D Meier; Hongtao Xie; Yang Sun; Yinghua Sun; Nisa Hatami; Brian Poirier; Laura Marcu; D Gregory Farwell
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7.  Low Temperature Fluorescence Imaging of Freeze-trapped Human Cervical Tissues.

Authors:  N Ramanujam; R Richards-Kortum; S Thomsen; A Mahadevan-Jansen; M Follen; B Chance
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8.  Spectroscopic detection and evaluation of morphologic and biochemical changes in early human oral carcinoma.

Authors:  Markus G Müller; Tulio A Valdez; Irene Georgakoudi; Vadim Backman; Cesar Fuentes; Sadru Kabani; Nora Laver; Zimmern Wang; Charles W Boone; Ramachandra R Dasari; Stanley M Shapshay; Michael S Feld
Journal:  Cancer       Date:  2003-04-01       Impact factor: 6.860

Review 9.  Understanding the Warburg effect: the metabolic requirements of cell proliferation.

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Journal:  Breast Cancer Res Treat       Date:  2021-01-04       Impact factor: 4.872

2.  Clinical label-free endoscopic imaging of biochemical and metabolic autofluorescence biomarkers of benign, precancerous, and cancerous oral lesions.

Authors:  Elvis Duran-Sierra; Shuna Cheng; Rodrigo Cuenca; Beena Ahmed; Jim Ji; Vladislav V Yakovlev; Mathias Martinez; Moustafa Al-Khalil; Hussain Al-Enazi; Javier A Jo
Journal:  Biomed Opt Express       Date:  2022-06-02       Impact factor: 3.562

Review 3.  The future of early cancer detection.

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4.  Discrimination of cancerous from benign pigmented skin lesions based on multispectral autofluorescence lifetime imaging dermoscopy and machine learning.

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5.  Luminescence lifetime imaging of three-dimensional biological objects.

Authors:  Ruslan I Dmitriev; Xavier Intes; Margarida M Barroso
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Review 6.  Recent Advances and the Potential for Clinical Use of Autofluorescence Detection of Extra-Ophthalmic Tissues.

Authors:  Jonas Wizenty; Teresa Schumann; Donna Theil; Martin Stockmann; Johann Pratschke; Frank Tacke; Felix Aigner; Tilo Wuensch
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7.  Blind deconvolution estimation by multi-exponential models and alternated least squares approximations: Free-form and sparse approach.

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8.  Machine-Learning Assisted Discrimination of Precancerous and Cancerous from Healthy Oral Tissue Based on Multispectral Autofluorescence Lifetime Imaging Endoscopy.

Authors:  Elvis Duran-Sierra; Shuna Cheng; Rodrigo Cuenca; Beena Ahmed; Jim Ji; Vladislav V Yakovlev; Mathias Martinez; Moustafa Al-Khalil; Hussain Al-Enazi; Yi-Shing Lisa Cheng; John Wright; Carlos Busso; Javier A Jo
Journal:  Cancers (Basel)       Date:  2021-09-23       Impact factor: 6.575

Review 9.  FLIM as a Promising Tool for Cancer Diagnosis and Treatment Monitoring.

Authors:  Yuzhen Ouyang; Yanping Liu; Zhiming M Wang; Zongwen Liu; Minghua Wu
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