Literature DB >> 29076310

Diffuse reflectance spectroscopy as a tool for real-time tissue assessment during colorectal cancer surgery.

Elisabeth J M Baltussen1, Petur Snaebjornsson2, Susan G Brouwer de Koning1, Henricus J C M Sterenborg1,3, Arend G J Aalbers1, Niels Kok1, Geerard L Beets1, Benno H W Hendriks4,5, Koert F D Kuhlmann1, Theo J M Ruers1,6.   

Abstract

Colorectal surgery is the standard treatment for patients with colorectal cancer. To overcome two of the main challenges, the circumferential resection margin and postoperative complications, real-time tissue assessment could be of great benefit during surgery. In this ex vivo study, diffuse reflectance spectroscopy (DRS) was used to differentiate tumor tissue from healthy surrounding tissues in patients with colorectal neoplasia. DRS spectra were obtained from tumor tissue, healthy colon, or rectal wall and fat tissue, for every patient. Data were randomly divided into training (80%) and test (20%) sets. After spectral band selection, the spectra were classified using a quadratic classifier and a linear support vector machine. Of the 38 included patients, 36 had colorectal cancer and 2 had an adenoma. When the classifiers were applied to the test set, colorectal cancer could be discriminated from healthy tissue with an overall accuracy of 0.95 (±0.03). This study demonstrates the possibility to separate colorectal cancer from healthy surrounding tissue by applying DRS. High classification accuracies were obtained both in homogeneous and inhomogeneous tissues. This is a fundamental step toward the development of a tool for real-time in vivo tissue assessment during colorectal surgery. (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE).

Entities:  

Keywords:  colorectal cancer; diffuse reflectance spectroscopy; machine learning; margin assessment; support vector machine

Mesh:

Year:  2017        PMID: 29076310     DOI: 10.1117/1.JBO.22.10.106014

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


  13 in total

1.  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

Review 2.  Repurposing Molecular Imaging and Sensing for Cancer Image-Guided Surgery.

Authors:  Suman B Mondal; Christine M O'Brien; Kevin Bishop; Ryan C Fields; Julie A Margenthaler; Samuel Achilefu
Journal:  J Nucl Med       Date:  2020-04-17       Impact factor: 10.057

3.  Optical property recovery with spatially-resolved diffuse reflectance at short source-detector separations using a compact fiber-optic probe.

Authors:  Karina G Bridger; Jacob R Roccabruna; Timothy M Baran
Journal:  Biomed Opt Express       Date:  2021-11-09       Impact factor: 3.732

4.  Real-time Tracking and Classification of Tumor and Nontumor Tissue in Upper Gastrointestinal Cancers Using Diffuse Reflectance Spectroscopy for Resection Margin Assessment.

Authors:  Scarlet Nazarian; Ioannis Gkouzionis; Michal Kawka; Marta Jamroziak; Josephine Lloyd; Ara Darzi; Nisha Patel; Daniel S Elson; Christopher J Peters
Journal:  JAMA Surg       Date:  2022-09-07       Impact factor: 16.681

5.  Optical Biopsy of the Upper GI Tract Using Fluorescence Lifetime and Spectra.

Authors:  Zhaojun Nie; Shu-Chi Allison Yeh; Michelle LePalud; Fares Badr; Frances Tse; David Armstrong; Louis W C Liu; M Jamal Deen; Qiyin Fang
Journal:  Front Physiol       Date:  2020-05-13       Impact factor: 4.566

6.  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

7.  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

8.  Hyperspectral imaging for tissue classification, a way toward smart laparoscopic colorectal surgery.

Authors:  Elisabeth J M Baltussen; Esther N D Kok; Susan G Brouwer de Koning; Joyce Sanders; Arend G J Aalbers; Niels F M Kok; Geerard L Beets; Claudie C Flohil; Sjoerd C Bruin; Koert F D Kuhlmann; Henricus J C M Sterenborg; Theo J M Ruers
Journal:  J Biomed Opt       Date:  2019-01       Impact factor: 3.170

9.  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

10.  Single-Fiber Diffuse Reflectance Spectroscopy and Spatial Frequency Domain Imaging in Surgery Guidance: A Study on Optical Phantoms.

Authors:  Polina S Tseregorodtseva; Kirill E Buiankin; Boris P Yakimov; Armais A Kamalov; Gleb S Budylin; Evgeny A Shirshin
Journal:  Materials (Basel)       Date:  2021-12-07       Impact factor: 3.623

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