Revealing retroperitoneal liposarcoma morphology using optical coherence tomography

A new approach to distinguish normal fat, well-differentiated (WD), and dedifferentiated liposarcoma (LS) tumors is demonstrated, based on the use of optical coherence tomography (OCT). OCT images show the same structures seen with conventional histological methods. Our visual grading analysis is su...

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Bibliographic Details
Published inJournal of Biomedical Optics Vol. 16; no. 2; p. 020502
Main Authors Carbajal, Esteban F, Baranov, Stepan A, Manne, Venu G. R, Larin, Kirill V, Young, Eric D, Lazar, Alexander J, Lev, Dina C, Pollock, Raphael E
Format Journal Article
LanguageEnglish
Published United States 01.02.2011
Subjects
Diagnosis
Equipment Design
Equipment Failure Analysis
Humans
Liposarcoma - pathology
Mathematical models
Numerical analysis
Optical Coherence Tomography
Real time
Reproducibility of Results
Retroperitoneal Neoplasms - pathology
Sensitivity and Specificity
Tomography, Optical Coherence - instrumentation
Tumors
Visual
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Summary:A new approach to distinguish normal fat, well-differentiated (WD), and dedifferentiated liposarcoma (LS) tumors is demonstrated, based on the use of optical coherence tomography (OCT). OCT images show the same structures seen with conventional histological methods. Our visual grading analysis is supported by numerical analysis of observed structures for normal fat and WDLS samples. Further development could apply the real-time and high resolution advantages of OCT for use in liposarcoma diagnosis and clinical procedures.
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ISSN:1083-3668
1560-2281
DOI:10.1117/1.3541789