The study of esophageal cancer in an early stage by using Raman spectroscopy

Mika Ishigaki; Akinori Taketani; Yasuhiro Maeda; Bibin B. Andriana; Ryu Ishihara; Hidetoshi Sato

doi:10.1117/12.2005662

25 February 2013 The study of esophageal cancer in an early stage by using Raman spectroscopy

Mika Ishigaki, Akinori Taketani, Yasuhiro Maeda, Bibin B. Andriana, Ryu Ishihara, Hidetoshi Sato

Proceedings Volume 8591, Optical Diagnostics and Sensing XIII: Toward Point-of-Care Diagnostics; 859109 (2013) https://doi.org/10.1117/12.2005662
Event: SPIE BiOS, 2013, San Francisco, California, United States

Abstract

The esophageal cancer is a disease with a high mortality. In order to lead a higher survival rate five years after the cancer’s treatment, we inevitably need a method to diagnose the cancer in an early stage and support the therapy. Raman spectroscopy is one of the most powerful techniques for the purpose. In the present study, we apply Raman spectroscopy to obtain ex vivo spectra of normal and early tumor human esophageal sample. The result of principal component analysis indicates that the tumor tissue is associated with a decrease in tryptophan concentration. Furthermore, we can predict the tissue type with 80% accuracy by linear discriminant analysis which model is made by tryptophan bands.

Citation Download Citation

Mika Ishigaki, Akinori Taketani, Yasuhiro Maeda, Bibin B. Andriana, Ryu Ishihara, and Hidetoshi Sato "The study of esophageal cancer in an early stage by using Raman spectroscopy", Proc. SPIE 8591, Optical Diagnostics and Sensing XIII: Toward Point-of-Care Diagnostics, 859109 (25 February 2013); https://doi.org/10.1117/12.2005662

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available