Literature DB >> 11037840

Raman spectroscopy for early detection of laryngeal malignancy: preliminary results.

N Stone1, P Stavroulaki, C Kendall, M Birchall, H Barr.   

Abstract

OBJECTIVE: Raman spectroscopy, the analysis of scattered photons after monochromatic laser excitation, is well established in nonbiological sciences. Recently this method has been used to differentiate premalignant and malignant lesions from normal tissue. Its application for early diagnosis has been explored in a variety of sites (e.g., esophagus, cervix), but not, to date, in laryngeal cancer. The objective of this study was to perform a feasibility study of the use of Raman spectroscopy for early diagnosis of laryngeal malignancy.
METHODS: Biopsy specimens were snap-frozen, and top sections were sent for histopathological analysis. Only homogenous samples with clearly defined pathological findings were used in this study: seven histologically normal samples, four exhibiting dysplasia, and four with carcinoma. Samples were defrosted and placed under a Renishaw (Wotton-Under-Edge, UK) System 1000 Raman microspectrometer for analysis. Between 5 and 12 spectra were acquired from each sample, with an excitation wavelength of 830 nm. Average characteristic spectra for each disease or condition were compared. Further multivariate statistical analysis of the data was carried out to evaluate and maximize the differences in the spectra for each disease or condition.
RESULTS: The most visible differences in the spectra occur between 850 and 950 cm(-1) and 1,200 and 1,350 cm(-1). The later peaks are directly related to protein conformation and C-H bond stretch in nucleic acid bases. The relative intensity of the nucleic acid peak increases with progression to malignancy. Use of linear discriminant analysis made it possible to separate the spectra with disease to a greater degree of accuracy than using empirical peak ratio methods alone. Classification results obtained from cross-validation of the discriminant model showed prediction sensitivities of 83%, 76%, and 92% and specificities of 94%, 91%, and 90% for normal, dysplastic, and squamous cell carcinoma of the larynx, respectively.
CONCLUSIONS: There was strong evidence to support spectral identification of malignancy and earlier abnormal changes. More substantive studies of the spectral differences between malignant and non-neoplastic tissue are warranted. Raman spectroscopy may become a useful adjunct to pathological diagnosis allowing directed or guided biopsies and assessment of adequacy of resection margins.

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Mesh:

Year:  2000        PMID: 11037840     DOI: 10.1097/00005537-200010000-00037

Source DB:  PubMed          Journal:  Laryngoscope        ISSN: 0023-852X            Impact factor:   3.325


  37 in total

1.  Investigation of the potential of Raman spectroscopy for oral cancer detection in surgical margins.

Authors:  Froukje L J Cals; Tom C Bakker Schut; José A Hardillo; Robert J Baatenburg de Jong; Senada Koljenović; Gerwin J Puppels
Journal:  Lab Invest       Date:  2015-08-03       Impact factor: 5.662

2.  Micro-Raman spectroscopy detects individual neoplastic and normal hematopoietic cells.

Authors:  James W Chan; Douglas S Taylor; Theodore Zwerdling; Stephen M Lane; Ko Ihara; Thomas Huser
Journal:  Biophys J       Date:  2005-10-20       Impact factor: 4.033

3.  Raman difference spectroscopy: a non-invasive method for identification of oral squamous cell carcinoma.

Authors:  Knipfer Christian; Motz Johanna; Adler Werner; Brunner Kathrin; Gebrekidan Medhaine Tesfay; Hankel Robert; Agaimy Abbas; Will Stefan; Braeuer Andreas; Neukam Friedrich Wilhelm; Stelzle Florian
Journal:  Biomed Opt Express       Date:  2014-08-28       Impact factor: 3.732

4.  Real-time in vivo diagnosis of laryngeal carcinoma with rapid fiber-optic Raman spectroscopy.

Authors:  Kan Lin; Wei Zheng; Chwee Ming Lim; Zhiwei Huang
Journal:  Biomed Opt Express       Date:  2016-08-26       Impact factor: 3.732

5.  Rapid discrimination of malignant lesions from normal gastric tissues utilizing Raman spectroscopy system: a meta-analysis.

Authors:  Huan Ouyang; Jiahui Xu; Zhengjie Zhu; Tengyun Long; Changjun Yu
Journal:  J Cancer Res Clin Oncol       Date:  2015-04-26       Impact factor: 4.553

6.  Optical diagnosis of gastric cancer using near-infrared multichannel Raman spectroscopy with a 1064-nm excitation wavelength.

Authors:  Toshiki Kawabata; Toshihiko Mizuno; Shigetoshi Okazaki; Mitsuo Hiramatsu; Tomohiko Setoguchi; Hirotoshi Kikuchi; Masayoshi Yamamoto; Yoshihiro Hiramatsu; Kenji Kondo; Megumi Baba; Manabu Ohta; Kinji Kamiya; Tatsuo Tanaka; Shohachi Suzuki; Hiroyuki Konno
Journal:  J Gastroenterol       Date:  2008-05-06       Impact factor: 7.527

7.  Preliminary study of differentiating smears from cancerous and non-cancerous nasopharyngeal tissue using confocal Raman spectroscopy.

Authors:  Liqing Sun; Zhihong Xu; Wei Huang; Shanshan Wu; Xinheng Lin; Fengyu Zhu; Nengrong Liu; Meizhen Huang; Rong Chen; Haishan Zeng
Journal:  J Cancer Res Clin Oncol       Date:  2015-11-26       Impact factor: 4.553

8.  LPCANet: Classification of Laryngeal Cancer Histopathological Images Using a CNN with Position Attention and Channel Attention Mechanisms.

Authors:  Xiaoli Zhou; Chaowei Tang; Pan Huang; Francesco Mercaldo; Antonella Santone; Yanqing Shao
Journal:  Interdiscip Sci       Date:  2021-06-17       Impact factor: 2.233

Review 9.  Raman spectroscopy in head and neck cancer.

Authors:  Andrew T Harris; Andrew Rennie; Haroon Waqar-Uddin; Sarah R Wheatley; Samit K Ghosh; Dominic P Martin-Hirsch; Sheila E Fisher; Alec S High; Jennifer Kirkham; Tahwinder Upile
Journal:  Head Neck Oncol       Date:  2010-10-05

10.  Potential for Raman spectroscopy to provide cancer screening using a peripheral blood sample.

Authors:  Andrew T Harris; Anxhela Lungari; Christopher J Needham; Stephen L Smith; Michael A Lones; Sheila E Fisher; Xuebin B Yang; Nicola Cooper; Jennifer Kirkham; D Alastair Smith; Dominic P Martin-Hirsch; Alec S High
Journal:  Head Neck Oncol       Date:  2009-09-17
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