Literature DB >> 29106741

Development and characterization of a handheld hyperspectral Raman imaging probe system for molecular characterization of tissue on mesoscopic scales.

Karl St-Arnaud1,2, Kelly Aubertin2,3, Mathias Strupler1, Wendy-Julie Madore1,2, Andrée-Anne Grosset3,4, Kevin Petrecca5, Dominique Trudel6,3,4, Frédéric Leblond1,2.   

Abstract

PURPOSE: Raman spectroscopy is a promising cancer detection technique for surgical guidance applications. It can provide quantitative information relating to global tissue properties associated with structural, metabolic, immunological, and genetic biochemical phenomena in terms of molecular species including amino acids, lipids, proteins, and nucleic acid (DNA). To date in vivo Raman spectroscopy systems mostly included probes and biopsy needles typically limited to single-point tissue interrogation over a scale between 100 and 500 microns. The development of wider field handheld systems could improve tumor localization for a range of open surgery applications including brain, ovarian, and skin cancers.
METHODS: Here we present a novel Raman spectroscopy implementation using a coherent imaging bundle of fibers to create a probe capable of reconstructing molecular images over mesoscopic fields of view. Detection is performed using linear scanning with a rotation mirror and an imaging spectrometer. Different slits widths were tested at the entrance of the spectrometer to optimize spatial and spectral resolution while preserving sufficient signal-to-noise ratios to detect the principal Raman tissue features. The nonbiological samples, calcite and polytetrafluoroethylene (PTFE), were used to characterize the performance of the system. The new wide-field probe was tested on ex vivo samples of calf brain and swine tissue. Raman spectral content of both tissue types were validated with data from the literature and compared with data acquired with a single-point Raman spectroscopy probe. The single-point probe was used as the gold standard against which the new instrument was benchmarked as it has already been thoroughly validated for biological tissue characterization. RESULT: We have developed and characterized a practical noncontact handheld Raman imager providing tissue information at a spatial resolution of 115 microns over a field of view >14 mm2 and a spectral resolution of 6 cm-1 over the whole fingerprint region. Typical integration time to acquire an entire Raman image over swine tissue was set to approximately 100 s. Spectra acquired with both probes (single-point and wide-field) showed good agreement, with a Pearson correlation factor >0.85 over different tissue categories. Protein and lipid content of imaged tissue were manifested into the measured spectra which correlated well with previous findings in the literature. An example of quantitative molecular map is presented for swine tissue and calf brain based on the ratio of protein-to-lipid content showing clear delineations between white and gray matter as well as between adipose and muscle tissue.
CONCLUSION: We presented the development of a Raman imaging probe with a field of view of a few millimeters and a spatial resolution consistent with standard surgical imaging methods using an imaging bundle. Spectra acquired with the newly developed system on swine tissue and calf brain correlated well with an establish single-point probe and observed spectral features agreed with previous finding in the literature. The imaging probe has demonstrated its ability to reconstruct molecular images of soft tissues. The approach presented here has a lot of potential for the development of surgical Raman imaging probe to guide the surgeon during cancer surgery.
© 2017 American Association of Physicists in Medicine.

Entities:  

Keywords:  Raman spectroscopy; medical imaging; molecular imaging; spectrometers; surgery

Mesh:

Substances:

Year:  2017        PMID: 29106741     DOI: 10.1002/mp.12657

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  7 in total

1.  Rise of Raman spectroscopy in neurosurgery: a review.

Authors:  Damon DePaoli; Émile Lemoine; Katherine Ember; Martin Parent; Michel Prud'homme; Léo Cantin; Kevin Petrecca; Frédéric Leblond; Daniel C Côté
Journal:  J Biomed Opt       Date:  2020-05       Impact factor: 3.170

2.  Towards Raman imaging of centimeter scale tissue areas for real-time opto-molecular visualization of tissue boundaries for clinical applications.

Authors:  Oleksii Ilchenko; Yurii Pilhun; Andrii Kutsyk
Journal:  Light Sci Appl       Date:  2022-05-19       Impact factor: 20.257

3.  Probe-based three-dimensional confocal laser endomicroscopy of brain tumors: technical note.

Authors:  Evgenii Belykh; Arpan A Patel; Eric J Miller; Baran Bozkurt; Kaan Yağmurlu; Eric C Woolf; Adrienne C Scheck; Jennifer M Eschbacher; Peter Nakaji; Mark C Preul
Journal:  Cancer Manag Res       Date:  2018-08-30       Impact factor: 3.989

4.  Handheld macroscopic Raman spectroscopy imaging instrument for machine-learning-based molecular tissue margins characterization.

Authors:  François Daoust; Tien Nguyen; Patrick Orsini; Jacques Bismuth; Marie-Maude de Denus-Baillargeon; Israel Veilleux; Alexandre Wetter; Philippe Mckoy; Isabelle Dicaire; Maroun Massabki; Kevin Petrecca; Frédéric Leblond
Journal:  J Biomed Opt       Date:  2021-02       Impact factor: 3.170

5.  Real-time molecular imaging of near-surface tissue using Raman spectroscopy.

Authors:  Wei Yang; Florian Knorr; Ines Latka; Matthias Vogt; Gunther O Hofmann; Jürgen Popp; Iwan W Schie
Journal:  Light Sci Appl       Date:  2022-04-08       Impact factor: 17.782

6.  High-resolution metabolic imaging of high-grade gliomas using 7T-CRT-FID-MRSI.

Authors:  Gilbert Hangel; Cornelius Cadrien; Philipp Lazen; Julia Furtner; Alexandra Lipka; Eva Hečková; Lukas Hingerl; Stanislav Motyka; Stephan Gruber; Bernhard Strasser; Barbara Kiesel; Mario Mischkulnig; Matthias Preusser; Thomas Roetzer; Adelheid Wöhrer; Georg Widhalm; Karl Rössler; Siegfried Trattnig; Wolfgang Bogner
Journal:  Neuroimage Clin       Date:  2020-09-15       Impact factor: 4.881

Review 7.  Advanced Tumor Imaging Approaches in Human Tumors.

Authors:  Samuel Nussbaum; Mira Shoukry; Mohammed Ali Ashary; Ali Abbaszadeh Kasbi; Mizba Baksh; Emmanuel Gabriel
Journal:  Cancers (Basel)       Date:  2022-03-18       Impact factor: 6.639

  7 in total

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