Literature DB >> 10383744

Infrared spectra of basal cell carcinomas are distinct from non-tumor-bearing skin components.

L M McIntosh1, M Jackson, H H Mantsch, M F Stranc, D Pilavdzic, A N Crowson.   

Abstract

Infrared spectroscopy, by probing the molecular vibration of chemical bonds, directly indicates tissue biochemistry. An expanding body of literature suggests that infrared spectra distinguish diseased from normal tissue. The authors used infrared spectroscopy to examine basal cell carcinoma to explore distinctive characteristics of basal cell carcinoma versus normal skin samples and other skin neoplasms. Spectra of epidermis, tumor, follicle sheath, and dermis were acquired from unstained frozen sections, and analyzed qualitatively, by t-tests and by linear discriminant analyses. Dermal spectra were significantly different from the other skin components mainly due to absorptions from collagen in dermis. Spectra of normal epidermis and basal cell carcinoma were significantly different by virtue of subtle differences in protein structure and nucleic acid content. Linear discriminant analysis characterized spectra as arising from basal cell carcinoma, epidermis, or follicle sheath with 98.7% accuracy. Use of linear discriminant analysis accurately classified spectra as arising from epidermis overlying basal cell carcinoma versus epidermis overlying nontumor-bearing skin in 98.0% of cases. Spectra of basal cell carcinoma, squamous cell carcinoma, nevi, and malignant melanoma were qualitatively similar. Distinction of basal cell carcinoma, squamous cell carcinoma, and melanocytic lesions by linear discriminant analyses, however, was 93.5% accurate. Therefore, spectral separation of abnormal versus normal tissue was achieved with high sensitivity and specificity, which points to infrared spectroscopy as a potentially useful screening tool for cutaneous neoplasia.

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Year:  1999        PMID: 10383744     DOI: 10.1046/j.1523-1747.1999.00612.x

Source DB:  PubMed          Journal:  J Invest Dermatol        ISSN: 0022-202X            Impact factor:   8.551


  7 in total

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Authors:  Mohammadreza Khanmohammadi; Razieh Nasiri; Keyvan Ghasemi; Simin Samani; Amir Bagheri Garmarudi
Journal:  J Cancer Res Clin Oncol       Date:  2007-08-02       Impact factor: 4.553

Review 2.  Novel approaches to imaging basal cell carcinoma.

Authors:  Anthony M Rossi; Heidy Sierra; Milind Rajadhyaksha; Kiswher Nehal
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3.  Detection of Cancer Metastasis Using a Novel Macroscopic Hyperspectral Method.

Authors:  Hamed Akbari; Luma V Halig; Hongzheng Zhang; Dongsheng Wang; Zhuo Georgia Chen; Baowei Fei
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2012-03-23

4.  Diagnosis of tumors during tissue-conserving surgery with integrated autofluorescence and Raman scattering microscopy.

Authors:  Kenny Kong; Christopher J Rowlands; Sandeep Varma; William Perkins; Iain H Leach; Alexey A Koloydenko; Hywel C Williams; Ioan Notingher
Journal:  Proc Natl Acad Sci U S A       Date:  2013-09-03       Impact factor: 11.205

Review 5.  Vibrational Spectroscopy Fingerprinting in Medicine: from Molecular to Clinical Practice.

Authors:  Vera Balan; Cosmin-Teodor Mihai; Florina-Daniela Cojocaru; Cristina-Mariana Uritu; Gianina Dodi; Doru Botezat; Ioannis Gardikiotis
Journal:  Materials (Basel)       Date:  2019-09-06       Impact factor: 3.623

6.  Analysis of Hepatic Fibrosis Characteristics in Cirrhotic Patients with and without Hepatocellular Carcinoma by FTIR Spectral Imaging.

Authors:  Johanna Moreau; Pascaline Bouzy; Julien Guillard; Valérie Untereiner; Roselyne Garnotel; Aude Marchal; Cyril Gobinet; Christine Terryn; Ganesh D Sockalingum; Gérard Thiéfin
Journal:  Molecules       Date:  2020-09-07       Impact factor: 4.411

7.  Should variation of serum lipid levels be considered a risk factor for the development of basal cell carcinoma?

Authors:  Abbas Zamanian; Ghasem Rahmatpour Rokni; Akram Ansar; Pezhman Mobasher; Ghazaleh Ahmadi Jazi
Journal:  Adv Biomed Res       Date:  2014-03-31
  7 in total

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