Differentiating retroperitoneal liposarcoma tumors with optical coherence tomography

Dina Lev, Stepan A. Baranov, Esteban F. Carbajal, Eric D. Young, Raphael E. Pollock, Kirill V. Larin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations


Liposarcoma (LS) is a rare and heterogeneous group of malignant mesenchymal neoplasms exhibiting characteristics of adipocytic differentiation. Currently, radical surgical resection represents the most effective and widely used therapy for patients with abdominal/retroperitoneal LS, but the presence of contiguous essential organs, such as the kidney, pancreas, spleen, adrenal glands, esophagus or colon, as well as often reoccurrence of LS in A/RP calls for the enhancement of surgical techniques to minimize resection and avoid LS reoccurrences. Difficulty in detecting the margins of neoplasms due to their affinity to healthy fat tissue accounts for the high reoccurrence of LS within A/RP. Nowadays, the microscopic detection of margins is possible only by use of biopsy, and the minimization of surgical resection of healthy tissues is challenging. In this presentation we'll demonstrate the initial OCT results for the imaging and distinction of LS and normal human fat tissues and clear detection of tumor boundaries.

Original languageEnglish (US)
Title of host publicationAdvanced Biomedical and Clinical Diagnostic Systems IX
StatePublished - 2011
EventAdvanced Biomedical and Clinical Diagnostic Systems IX - San Francisco, CA, United States
Duration: Jan 23 2011Jan 25 2011

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
ISSN (Print)1605-7422


OtherAdvanced Biomedical and Clinical Diagnostic Systems IX
Country/TerritoryUnited States
CitySan Francisco, CA


  • cancer
  • imaging
  • liposarcoma
  • optical coherence tomography

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Atomic and Molecular Physics, and Optics
  • Biomaterials
  • Radiology Nuclear Medicine and imaging


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