Literature DB >> 15185232

Raman spectroscopy for neoplastic tissue differentiation: a pilot study.

Attila Lorincz1, Daad Haddad, Ratna Naik, Vaman Naik, Alan Fung, Alex Cao, Prasad Manda, Abhilash Pandya, Greg Auner, Rajah Rabah, Scott E Langenburg, Michael D Klein.   

Abstract

BACKGROUND: Several changes occur during the transformation of normal tissue to neoplastic tissue. Such changes in molecular composition can be detected by Raman spectroscopy. Raman spectroscopy is a nondestructive method of measuring these changes, which suggests the possibility of real-time diagnosis during medical procedures.
METHODS: This study seeks to evaluate the ability of Raman spectra to distinguish tissues. The Raman signatures of normal kidney, lung, and liver tissue samples from pigs and rats were characterized in vitro. Further, a human neuroblastoma and a hepatoblastoma, obtained at resection were also studied.
RESULTS: The Raman spectra of the animal samples of kidney, liver, and lung are distinctly different in the intensity distribution of the Raman peaks. Further, the spectra of a given organ from pigs and rats, although similar, were different enough to distinguish between the 2 animals. In the patient tissues, the Raman spectra of normal liver, viable tumor, and fibrotic hepatoblastoma were very different. Fibrotic tissue showed a greater concentration of carotenoids, whereas viable tissue was rich in proteins and nucleic acids. The normal tissue showed both components. Similar differences were also seen in the neuroblastoma tissue.
CONCLUSIONS: The results of this study show the potential use of Raman spectroscopy in clinical diagnosis.

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Year:  2004        PMID: 15185232     DOI: 10.1016/j.jpedsurg.2004.02.043

Source DB:  PubMed          Journal:  J Pediatr Surg        ISSN: 0022-3468            Impact factor:   2.545


  7 in total

Review 1.  Paraconsistent analysis network applied in the treatment of Raman spectroscopy data to support medical diagnosis of skin cancer.

Authors:  João Inácio Da Silva Filho; Célio Vander Nunes; Dorotéa Vilanova Garcia; Mauricio Conceição Mario; Fábio Giordano; Jair Minoro Abe; Marcos Tadeu Tavares Pacheco; Landulfo Silveira
Journal:  Med Biol Eng Comput       Date:  2016-03-28       Impact factor: 2.602

2.  Discrimination of liver malignancies with 1064 nm dispersive Raman spectroscopy.

Authors:  Isaac J Pence; Chetan A Patil; Chad A Lieber; Anita Mahadevan-Jansen
Journal:  Biomed Opt Express       Date:  2015-07-02       Impact factor: 3.732

3.  Analysis of dengue infection based on Raman spectroscopy and support vector machine (SVM).

Authors:  Saranjam Khan; Rahat Ullah; Asifullah Khan; Noorul Wahab; Muhammad Bilal; Mushtaq Ahmed
Journal:  Biomed Opt Express       Date:  2016-05-18       Impact factor: 3.732

4.  Correlation between histopathological and FT-Raman spectroscopy analysis of the liver of Swiss mice infected with Paracoccidioides brasiliensis.

Authors:  Elaine Sciuniti Benites Mansano; Gutierrez Rodrigues de Morais; Edilaine Martins Moratto; Francielle Sato; Antonio Medina Neto; Terezinha Ines Estivalet Svidzinski; Mauro Luciano Baesso; Luzmarina Hernandes
Journal:  PLoS One       Date:  2014-09-02       Impact factor: 3.240

5.  Breast Tumor Analysis Using Shifted-Excitation Raman Difference Spectroscopy (SERDS).

Authors:  Medhanie Tesfay Gebrekidan; Ramona Erber; Arndt Hartmann; Peter A Fasching; Julius Emons; Mathias W Beckmann; Andreas Braeuer
Journal:  Technol Cancer Res Treat       Date:  2018-01-01

6.  Raman spectroscopy and its urological applications.

Authors:  Vishwanath S Hanchanale; Amrith R Rao; Sakti Das
Journal:  Indian J Urol       Date:  2008-10

7.  Using the Method of "Optical Biopsy" of Prostatic Tissue to Diagnose Prostate Cancer.

Authors:  Dmitry N Artemyev; Vladimir I Kukushkin; Sofia T Avraamova; Nikolay S Aleksandrov; Yuri A Kirillov
Journal:  Molecules       Date:  2021-03-31       Impact factor: 4.411

  7 in total

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