Evaluation of an intraperitoneal ovarian cancer syngeneic mouse model using 18F-FDG MicroPET imaging

Hye Jeong Lee1, Mohammed N Tantawy, Ki Taek Nam

  • 1Department of Radiology and Radiological Sciences, The Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN 37232, USA. hye-jeong.lee@vanderbilt.edu

Abstract

Insights

This study shows that 2-[fluorine-18]-fluoro-2-deoxy-d-glucose (F-FDG) microPET imaging effectively detects ovarian cancer peritoneal tumor growth in a syngeneic mouse model. The imaging technique correlated with tumor progression over time.

Area of Science:

  • Oncology
  • Medical Imaging
  • Preclinical Research

Background:

  • Ovarian cancer often presents with peritoneal metastasis.
  • Developing effective imaging techniques for preclinical models is crucial for understanding tumor growth and evaluating therapies.
  • Syngeneic immunocompetent mouse models are valuable for studying cancer immunology and treatment responses.

Purpose of the Study:

  • To evaluate the utility of 2-[fluorine-18]-fluoro-2-deoxy-d-glucose (F-FDG) micro-positron emission tomography (microPET) imaging for monitoring ovarian tumor growth.
  • To assess the syngeneic immunocompetent mouse model for ovarian cancer research using F-FDG microPET.

Main Methods:

  • ID8 ovarian carcinoma cells were injected intraperitoneally into C57BL/6 mice.
  • Mice received intravenous F-FDG injections, followed by microPET and micro-computed tomography imaging.
  • F-FDG microPET scans were performed at multiple time points (baseline to 11 weeks) to track tumor development.

Main Results:

  • Physiological F-FDG uptake was observed in the bladder, heart, and gastrointestinal tract.
  • Tumor-associated F-FDG uptake in the peritoneal cavity increased progressively from 4 to 11 weeks.
  • The maximum standardized uptake value (SUVmax) significantly increased over time, confirming tumor growth.

Conclusions:

  • F-FDG microPET imaging is a viable method for detecting peritoneal tumor growth in a syngeneic ovarian cancer mouse model.
  • This imaging approach allows for non-invasive monitoring of tumor progression in preclinical studies.

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