Opto-acoustic imaging of oral cancer: feasibility studies in hamster model of squamous cell carcinoma

Alexander A. Oraevsky, Alexander A. Karabutov, Elena B. Savateeva, Brent Bell, Massoud Motamedi, Sharon L. Thomsen, Pankaj Jay Pasricha

Research output: Contribution to journalConference articlepeer-review

18 Scopus citations

Abstract

An otoacoustic transducer capable of detecting wide-band ultrasonic profiles at the site of pulsed laser irradiation was developed and applied in imaging various stages of squamous cell carcinoma produced in a hamster cheek pouch model. Imaging was performed using 12-nanosecond Nd:YAG laser pulses (FWHM) at the wavelength of 532 nm, which provided sufficient depth of monitoring (2 mm), significant tissue contrast and 15-μm in depth resolution. The opto-acoustic images depict distinct tissue layers in control (normal) animals and heterogeneous structureless tissue in pre-cancer and cancer stages. Pronounced changes in subsurface tissue structures that occur in the course of cancer development were not detected upon gross examination. Optoacoustic images of later stages in cancer development presented exophytic or irregular profiles on the surfaces, possibly associated with enhanced microvascularization. The changes associated with benign inflammation yielded optoacoustic images different from those depicting cancer progression. The experimental results suggest that the optoacoustic images displaying layered tissue structure on the basis of variations in optical absorption and scattering may be utilized for early detection and staging of superficial mucosa cancer.

Original languageEnglish (US)
Pages (from-to)385-396
Number of pages12
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume3597
StatePublished - 1999
EventProceedings of the 1999 Optical Tomography and Spectroscopy of Tissue III - San Jose, CA, USA
Duration: Jan 24 1999Jan 28 1999

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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