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Article: Laser Raman detection for oral cancer based on a Gaussian process classification method

TitleLaser Raman detection for oral cancer based on a Gaussian process classification method
Authors
Issue Date2013
Citation
Laser Physics Letters, 2013, v. 10, n. 6, article no. 065602 How to Cite?
AbstractOral squamous cell carcinoma is the most common neoplasm of the oral cavity. The incidence rate accounts for 80% of total oral cancer and shows an upward trend in recent years. It has a high degree of malignancy and is difficult to detect in terms of differential diagnosis, as a consequence of which the timing of treatment is always delayed. In this work, Raman spectroscopy was adopted to differentially diagnose oral squamous cell carcinoma and oral gland carcinoma. In total, 852 entries of raw spectral data which consisted of 631 items from 36 oral squamous cell carcinoma patients, 87 items from four oral gland carcinoma patients and 134 items from five normal people were collected by utilizing an optical method on oral tissues. The probability distribution of the datasets corresponding to the spectral peaks of the oral squamous cell carcinoma tissue was analyzed and the experimental result showed that the data obeyed a normal distribution. Moreover, the distribution characteristic of the noise was also in compliance with a Gaussian distribution. A Gaussian process (GP) classification method was utilized to distinguish the normal people and the oral gland carcinoma patients from the oral squamous cell carcinoma patients. The experimental results showed that all the normal people could be recognized. 83.33% of the oral squamous cell carcinoma patients could be correctly diagnosed and the remaining ones would be diagnosed as having oral gland carcinoma. For the classification process of oral gland carcinoma and oral squamous cell carcinoma, the correct ratio was 66.67% and the erroneously diagnosed percentage was 33.33%. The total sensitivity was 80% and the specificity was 100% with the Matthews correlation coefficient (MCC) set to 0.447 213 595. Considering the numerical results above, the application prospects and clinical value of this technique are significantly impressive. © 2013 Astro Ltd.
Persistent Identifierhttp://hdl.handle.net/10722/296077
ISSN
2023 Impact Factor: 1.4
2023 SCImago Journal Rankings: 0.353
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorDu, Zhanwei-
dc.contributor.authorYang, Yongjian-
dc.contributor.authorBai, Yuan-
dc.contributor.authorWang, Lijun-
dc.contributor.authorZhang, Chijun-
dc.contributor.authorChen, He-
dc.contributor.authorLuo, Yusheng-
dc.contributor.authorSu, Le-
dc.contributor.authorChen, Yong-
dc.contributor.authorLi, Xianchang-
dc.contributor.authorZhou, Xiaodong-
dc.contributor.authorJia, Jun-
dc.contributor.authorShen, Aiguo-
dc.contributor.authorHu, Jiming-
dc.date.accessioned2021-02-11T04:52:47Z-
dc.date.available2021-02-11T04:52:47Z-
dc.date.issued2013-
dc.identifier.citationLaser Physics Letters, 2013, v. 10, n. 6, article no. 065602-
dc.identifier.issn1612-2011-
dc.identifier.urihttp://hdl.handle.net/10722/296077-
dc.description.abstractOral squamous cell carcinoma is the most common neoplasm of the oral cavity. The incidence rate accounts for 80% of total oral cancer and shows an upward trend in recent years. It has a high degree of malignancy and is difficult to detect in terms of differential diagnosis, as a consequence of which the timing of treatment is always delayed. In this work, Raman spectroscopy was adopted to differentially diagnose oral squamous cell carcinoma and oral gland carcinoma. In total, 852 entries of raw spectral data which consisted of 631 items from 36 oral squamous cell carcinoma patients, 87 items from four oral gland carcinoma patients and 134 items from five normal people were collected by utilizing an optical method on oral tissues. The probability distribution of the datasets corresponding to the spectral peaks of the oral squamous cell carcinoma tissue was analyzed and the experimental result showed that the data obeyed a normal distribution. Moreover, the distribution characteristic of the noise was also in compliance with a Gaussian distribution. A Gaussian process (GP) classification method was utilized to distinguish the normal people and the oral gland carcinoma patients from the oral squamous cell carcinoma patients. The experimental results showed that all the normal people could be recognized. 83.33% of the oral squamous cell carcinoma patients could be correctly diagnosed and the remaining ones would be diagnosed as having oral gland carcinoma. For the classification process of oral gland carcinoma and oral squamous cell carcinoma, the correct ratio was 66.67% and the erroneously diagnosed percentage was 33.33%. The total sensitivity was 80% and the specificity was 100% with the Matthews correlation coefficient (MCC) set to 0.447 213 595. Considering the numerical results above, the application prospects and clinical value of this technique are significantly impressive. © 2013 Astro Ltd.-
dc.languageeng-
dc.relation.ispartofLaser Physics Letters-
dc.titleLaser Raman detection for oral cancer based on a Gaussian process classification method-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1088/1612-2011/10/6/065602-
dc.identifier.scopuseid_2-s2.0-84879070256-
dc.identifier.volume10-
dc.identifier.issue6-
dc.identifier.spagearticle no. 065602-
dc.identifier.epagearticle no. 065602-
dc.identifier.eissn1612-202X-
dc.identifier.isiWOS:000320336000010-
dc.identifier.issnl1612-2011-

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