Fluorescence-lifetime molecular imaging can detect invisible peritoneal ovarian tumors in bloody ascites

Takahito Nakajima1, Kohei Sano, Kazuhide Sato

  • 1Molecular Imaging Program, Center for Cancer Research, National Cancer Institute, NIH, Bethesda, MA, USA.

Cancer Science
|February 1, 2014
PubMed

Insights

Fluorescence-lifetime imaging overcomes blood contamination issues in detecting ovarian cancer. This technique clearly visualizes tumor lesions in bloody ascites, which are invisible with standard fluorescence intensity imaging.

Area of Science:

  • Biomedical Optics
  • Medical Imaging
  • Ovarian Cancer Research

Background:

  • Clinical fluorescence imaging faces challenges due to blood contamination from ascites or surgical hemorrhages.
  • Overcoming these limitations is crucial for accurate in vivo imaging and diagnosis.

Purpose of the Study:

  • To investigate the efficacy of fluorescence-lifetime imaging (FLI) in overcoming blood contamination for ovarian cancer detection.
  • To evaluate the performance of galactosyl serum albumin-rhodamine green (GSA-RhodG) in FLI of ovarian cancer in the presence of bloody ascites.

Main Methods:

  • In vitro and in vivo experiments using ovarian cancer models (SHIN3 cells) in mice with induced bloody ascites.
  • Measurements of fluorescence intensity and lifetime using a time-domain fluorescence imager.
  • Administration of GSA-RhodG probe targeting D-galactose receptors on cancer cells.

Main Results:

  • In vitro, fluorescence intensity correlated linearly with probe concentration, while lifetime remained stable.
  • Addition of blood (up to 10%) significantly reduced fluorescence intensity (<1%) but did not affect fluorescence lifetime.
  • In vivo, FLI successfully detected tumor lesions in hemorrhagic ascites, whereas intensity imaging failed.

Conclusions:

  • Fluorescence-lifetime imaging with GSA-RhodG provides robust detection of ovarian cancer lesions even in the presence of significant blood contamination.
  • FLI offers a promising solution to overcome the limitations of intensity-based fluorescence imaging in clinically relevant scenarios.

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