Revealing retroperitoneal liposarcoma morphology using optical coherence tomography

Esteban F. Carbajal, Stepan A. Baranov, Venu G.R. Manne, Eric D. Young, Alexander J. Lazar, Dina C. Lev, Raphael E. Pollock, Kirill V. Larin

Research output: Contribution to journalArticlepeer-review

20 Scopus citations

Abstract

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.

Original languageEnglish (US)
Article number020502
JournalJournal of biomedical optics
Volume16
Issue number2
DOIs
StatePublished - Feb 2011

Keywords

  • Cancer
  • Detection
  • Liposarcoma
  • Optical coherence tomography
  • Retroperitoneal

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Biomaterials
  • Atomic and Molecular Physics, and Optics
  • Biomedical Engineering

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