Literature DB >> 29479794

Automated diagnosis of colon cancer using hyperspectral sensing.

Robert J Beaulieu1, Seth D Goldstein1, Jasvinder Singh1, Bashar Safar1, Amit Banerjee2, Nita Ahuja1.   

Abstract

BACKGROUND: Surgical management of colorectal cancer relies on accurate identification of tumor and possible metastatic disease. Hyperspectral (HS) sensing is a passive, non-ionizing diagnostic method that has been considered for multiple tumor types. The ability to use HS for identification of tumor specimens during surgical resection of colorectal cancers was explored.
METHODS: Patients with colorectal cancer who underwent operative resection were enrolled. HS measurements were performed both intra- and extra-luminally. Spectral results were correlated with pathologic evaluation.
RESULTS: Fifteen patient specimens were analyzed. For patients with confirmed colorectal cancer, extraluminal spectra analysis yielded 61.68% sensitivity with 90% specificity. For intraluminal specimens, sensitivity increased to 91.97% with 90% specificity.
CONCLUSIONS: Hyperspectral sensing can reliably detect tumors in resected colon specimens. This research offers promising results for a diagnostic technology that is non-ionizing and does not require the use of contrast agents to achieve accurate colorectal cancer detection.
Copyright © 2018 John Wiley & Sons, Ltd.

Entities:  

Keywords:  colorectal cancer; diagnostics; hyperspectral

Mesh:

Year:  2018        PMID: 29479794     DOI: 10.1002/rcs.1897

Source DB:  PubMed          Journal:  Int J Med Robot        ISSN: 1478-5951            Impact factor:   2.547


  15 in total

1.  Tissue classification of oncologic esophageal resectates based on hyperspectral data.

Authors:  Marianne Maktabi; Hannes Köhler; Margarita Ivanova; Boris Jansen-Winkeln; Jonathan Takoh; Stefan Niebisch; Sebastian M Rabe; Thomas Neumuth; Ines Gockel; Claire Chalopin
Journal:  Int J Comput Assist Radiol Surg       Date:  2019-06-20       Impact factor: 2.924

2.  Evaluation of hyperspectral imaging (HSI) for the measurement of ischemic conditioning effects of the gastric conduit during esophagectomy.

Authors:  Hannes Köhler; Boris Jansen-Winkeln; Marianne Maktabi; Manuel Barberio; Jonathan Takoh; Nico Holfert; Yusef Moulla; Stefan Niebisch; Michele Diana; Thomas Neumuth; Sebastian M Rabe; Claire Chalopin; Andreas Melzer; Ines Gockel
Journal:  Surg Endosc       Date:  2019-01-23       Impact factor: 4.584

3.  Intraoperative multispectral and hyperspectral label-free imaging: A systematic review of in vivo clinical studies.

Authors:  Jonathan Shapey; Yijing Xie; Eli Nabavi; Robert Bradford; Shakeel R Saeed; Sebastien Ourselin; Tom Vercauteren
Journal:  J Biophotonics       Date:  2019-04-29       Impact factor: 3.207

4.  Early detection of necrotizing enterocolitis using broadband optical spectroscopy.

Authors:  Seth D Goldstein; Robert J Beaulieu; Diego F Niño; Young Chun; Amit Banerjee; Chhinder P Sodhi; David J Hackam
Journal:  J Pediatr Surg       Date:  2018-03-07       Impact factor: 2.545

Review 5.  Fluorescent Nanoparticles for the Guided Surgery of Ovarian Peritoneal Carcinomatosis.

Authors:  Tristan Mangeolle; Ilya Yakavets; Sophie Marchal; Manon Debayle; Thomas Pons; Lina Bezdetnaya; Frédéric Marchal
Journal:  Nanomaterials (Basel)       Date:  2018-07-26       Impact factor: 5.076

6.  A background correction method to compensate illumination variation in hyperspectral imaging.

Authors:  Jonghee Yoon; Alexandru Grigoroiu; Sarah E Bohndiek
Journal:  PLoS One       Date:  2020-03-13       Impact factor: 3.240

7.  Feedforward Artificial Neural Network-Based Colorectal Cancer Detection Using Hyperspectral Imaging: A Step towards Automatic Optical Biopsy.

Authors:  Boris Jansen-Winkeln; Manuel Barberio; Claire Chalopin; Katrin Schierle; Michele Diana; Hannes Köhler; Ines Gockel; Marianne Maktabi
Journal:  Cancers (Basel)       Date:  2021-02-25       Impact factor: 6.575

8.  Hyperspectral Imaging and the Retina: Worth the Wave?

Authors:  Sophie Lemmens; Jan Van Eijgen; Karel Van Keer; Julie Jacob; Sinéad Moylett; Lies De Groef; Toon Vancraenendonck; Patrick De Boever; Ingeborg Stalmans
Journal:  Transl Vis Sci Technol       Date:  2020-08-05       Impact factor: 3.283

9.  Adaptive deep learning for head and neck cancer detection using hyperspectral imaging.

Authors:  Ling Ma; Guolan Lu; Dongsheng Wang; Xulei Qin; Zhuo Georgia Chen; Baowei Fei
Journal:  Vis Comput Ind Biomed Art       Date:  2019-11-21

10.  Polarizer-Free AOTF-Based SWIR Hyperspectral Imaging for Biomedical Applications.

Authors:  Vladislav Batshev; Alexander Machikhin; Grigoriy Martynov; Vitold Pozhar; Sergey Boritko; Milana Sharikova; Vladimir Lomonov; Alexander Vinogradov
Journal:  Sensors (Basel)       Date:  2020-08-08       Impact factor: 3.576

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