Literature DB >> 30341837

Toward complete oral cavity cancer resection using a handheld diffuse reflectance spectroscopy probe.

Susan G Brouwer de Koning1, Elisabeth J M Baltussen1, M Baris Karakullukcu1, Behdad Dashtbozorg1, Laura A Smit2, Richard Dirven1, Benno H W Hendriks3,4, Henricus J C M Sterenborg1,5, Theo J M Ruers1,6.   

Abstract

This ex-vivo study evaluates the feasibility of diffuse reflectance spectroscopy (DRS) for discriminating tumor from healthy tissue, with the aim to develop a technology that can assess resection margins for the presence of tumor cells during oral cavity cancer surgery. Diffuse reflectance spectra were acquired on fresh surgical specimens from 28 patients with oral cavity squamous cell carcinoma. The spectra (400 to 1600 nm) were detected after illuminating tissue with a source fiber at 0.3-, 0.7-, 1.0-, and 2.0-mm distances from a detection fiber, obtaining spectral information from different sampling depths. The spectra were correlated with histopathology. A total of 76 spectra were obtained from tumor tissue and 110 spectra from healthy muscle tissue. The first- and second-order derivatives of the spectra were calculated and a classification algorithm was developed using fivefold cross validation with a linear support vector machine. The best results were obtained by the reflectance measured with a 1-mm source-detector distance (sensitivity, specificity, and accuracy are 89%, 82%, and 86%, respectively). DRS can accurately discriminate tumor from healthy tissue in an ex-vivo setting using a 1-mm source-detector distance. Accurate validation methods are warranted for larger sampling depths to allow for guidance during oral cavity cancer excision. (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE).

Entities:  

Keywords:  diffuse reflectance spectroscopy; linear support vector machine; machine learning; oral cavity cancer; resection margin assessment; tissue recognition

Mesh:

Year:  2018        PMID: 30341837     DOI: 10.1117/1.JBO.23.12.121611

Source DB:  PubMed          Journal:  J Biomed Opt        ISSN: 1083-3668            Impact factor:   3.170


  8 in total

1.  [Possibilities and perspectives of hyperspectral imaging in visceral surgery].

Authors:  I Gockel; B Jansen-Winkeln; N Holfert; N Rayes; R Thieme; M Maktabi; R Sucher; D Seehofer; M Barberio; M Diana; S M Rabe; M Mehdorn; Y Moulla; S Niebisch; D Branzan; K Rehmet; J P Takoh; T-O Petersen; T Neumuth; A Melzer; C Chalopin; H Köhler
Journal:  Chirurg       Date:  2020-02       Impact factor: 0.955

2.  Optimizing algorithm development for tissue classification in colorectal cancer based on diffuse reflectance spectra.

Authors:  Elisabeth J M Baltussen; Henricus J C M Sterenborg; Theo J M Ruers; Behdad Dashtbozorg
Journal:  Biomed Opt Express       Date:  2019-11-05       Impact factor: 3.732

3.  Real-time calibrating polarization-sensitive diffuse reflectance handheld probe characterizes clinically relevant anatomical locations of oral tissue in vivo.

Authors:  Jianfeng Wang
Journal:  Biomed Opt Express       Date:  2021-12-06       Impact factor: 3.732

4.  Tissue diagnosis during colorectal cancer surgery using optical sensing: an in vivo study.

Authors:  E J M Baltussen; S G Brouwer de Koning; J Sanders; A G J Aalbers; N F M Kok; G L Beets; B H W Hendriks; H J C M Sterenborg; K F D Kuhlmann; T J M Ruers
Journal:  J Transl Med       Date:  2019-10-02       Impact factor: 5.531

5.  Evaluation of wavelength ranges and tissue depth probed by diffuse reflectance spectroscopy for colorectal cancer detection.

Authors:  Marcelo Saito Nogueira; Siddra Maryam; Michael Amissah; Huihui Lu; Noel Lynch; Shane Killeen; Micheal O'Riordain; Stefan Andersson-Engels
Journal:  Sci Rep       Date:  2021-01-12       Impact factor: 4.379

6.  Model-based characterization platform of fiber optic extended-wavelength diffuse reflectance spectroscopy for identification of neurovascular bundles.

Authors:  Yu Sun; Alexander P Dumont; Mohammed Shahriar Arefin; Chetan A Patil
Journal:  J Biomed Opt       Date:  2022-09       Impact factor: 3.758

7.  Optical percutaneous needle biopsy of the liver: a pilot animal and clinical study.

Authors:  Viktor Dremin; Elena Potapova; Evgeny Zherebtsov; Ksenia Kandurova; Valery Shupletsov; Alexander Alekseyev; Andrian Mamoshin; Andrey Dunaev
Journal:  Sci Rep       Date:  2020-08-26       Impact factor: 4.379

8.  Layer thickness prediction and tissue classification in two-layered tissue structures using diffuse reflectance spectroscopy.

Authors:  Freija Geldof; Behdad Dashtbozorg; Benno H W Hendriks; Henricus J C M Sterenborg; Theo J M Ruers
Journal:  Sci Rep       Date:  2022-02-01       Impact factor: 4.996

  8 in total

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