Literature DB >> 26676521

[Early recognition of cancerous lesions in the mouth and oropharynx: Automated evaluation of hyperspectral image stacks].

W Laffers1, S Westermann2, B Regeling3, R Martin2,3, B Thies3, A O H Gerstner4, F Bootz2, N A Müller2.   

Abstract

BACKGROUND: Early detection of cancerous lesions is still crucial for a patient's prognosis. Although diagnostic access to the oral cavity and oropharynx is comparably easy, the incidence of resulting disease remains high. This is due to the fact that in many cases, malignity is recognized too late on a purely visual basis. Previously, we discussed the application of hyperspectral imaging for early detection of precancerous and cancerous lesions of the larynx. This time, we evaluate the method in the oral cavity and oropharynx.
MATERIALS AND METHODS: In 85 patients scheduled for endoscopy, hyperspectral imaging was performed. We used a rigid 0-degree endoscope, a light-adjustable monochromator, and a hyperspectral camera. For evaluation of the method, 3 patients were chosen exemplarily. Training sites from physiological and cancerous tissues were marked. Hyperspectral data from 1 patient were used to train a classifier, which was then used for automatic detection of precancerous and cancerous lesions in another 2 patients.
RESULTS: Intraoperative hyperspectral imaging was performed without any problems. Classification showed sensitivities of 61 and 43%, and a specificity of 100%.
CONCLUSION: This proof-of-concept study underscores the high potential of hyperspectral imaging for early recognition of cancer in the mouth and oropharynx. Besides a better prognosis for cancer patients, this approach could lead to higher cost efficiency in the health system.

Entities:  

Keywords:  Early diagnosis; Endoscopy; Head and neck neoplasms; Hyperspectral imaging; Oropharyngeal cancer

Mesh:

Year:  2016        PMID: 26676521     DOI: 10.1007/s00106-015-0109-3

Source DB:  PubMed          Journal:  HNO        ISSN: 0017-6192            Impact factor:   1.284


  25 in total

1.  Perform a death-defying act. The 90-second oral cancer examination.

Authors: 
Journal:  J Am Dent Assoc       Date:  2001-11       Impact factor: 3.634

2.  Carcinoma of the larynx: predictors of diagnostic delay.

Authors:  W Habermann; A Berghold; T T DeVaney; G Friedrich
Journal:  Laryngoscope       Date:  2001-04       Impact factor: 3.325

3.  [Advances in endoscopic diagnosis of dysplasia and carcinoma of the larynx].

Authors:  C Arens; U Vorwerk; T Just; C S Betz; M Kraft
Journal:  HNO       Date:  2012-01       Impact factor: 1.284

4.  Spectral mapping tools from the earth sciences applied to spectral microscopy data.

Authors:  A Thomas Harris
Journal:  Cytometry A       Date:  2006-08-01       Impact factor: 4.355

Review 5.  [Hyperspectral imaging in head & neck oncology].

Authors:  A O H Gerstner; R Martin; S Westermann; A-K Mahlein; K Schmidt; B Thies; W Laffers
Journal:  Laryngorhinootologie       Date:  2013-07-03       Impact factor: 1.057

6.  Development of an image pre-processor for operational hyperspectral laryngeal cancer detection.

Authors:  Bianca Regeling; Wiebke Laffers; Andreas O H Gerstner; Stephan Westermann; Nina A Müller; Kai Schmidt; Jörg Bendix; Boris Thies
Journal:  J Biophotonics       Date:  2015-06-01       Impact factor: 3.207

7.  [Endoscopic imaging techniques in the diagnosis of laryngeal carcinoma and its precursor lesions].

Authors:  C Arens; K Malzahn; O Dias; M Andrea; H Glanz
Journal:  Laryngorhinootologie       Date:  1999-12       Impact factor: 1.057

8.  [Health-related Quality of Life After Oropharyngeal Cancer Treatment].

Authors:  S Volkenstein; J Willers; V Noack; S Dazert; A Minovi
Journal:  Laryngorhinootologie       Date:  2015-06-18       Impact factor: 1.057

9.  Indirect fluorescence laryngoscopy in the diagnosis of precancerous and cancerous laryngeal lesions.

Authors:  C Arens; D Reussner; J Woenkhaus; A Leunig; C S Betz; H Glanz
Journal:  Eur Arch Otorhinolaryngol       Date:  2007-02-10       Impact factor: 3.236

10.  Tongue tumor detection in medical hyperspectral images.

Authors:  Zhi Liu; Hongjun Wang; Qingli Li
Journal:  Sensors (Basel)       Date:  2011-12-23       Impact factor: 3.576

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  4 in total

1.  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

Review 2.  Review on the Application of Hyperspectral Imaging Technology of the Exposed Cortex in Cerebral Surgery.

Authors:  Yue Wu; Zhongyuan Xu; Wenjian Yang; Zhiqiang Ning; Hao Dong
Journal:  Front Bioeng Biotechnol       Date:  2022-05-27

3.  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

4.  An Intraoperative Visualization System Using Hyperspectral Imaging to Aid in Brain Tumor Delineation.

Authors:  Himar Fabelo; Samuel Ortega; Raquel Lazcano; Daniel Madroñal; Gustavo M Callicó; Eduardo Juárez; Rubén Salvador; Diederik Bulters; Harry Bulstrode; Adam Szolna; Juan F Piñeiro; Coralia Sosa; Aruma J O'Shanahan; Sara Bisshopp; María Hernández; Jesús Morera; Daniele Ravi; B Ravi Kiran; Aurelio Vega; Abelardo Báez-Quevedo; Guang-Zhong Yang; Bogdan Stanciulescu; Roberto Sarmiento
Journal:  Sensors (Basel)       Date:  2018-02-01       Impact factor: 3.576

  4 in total

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