JoVE Journal

Medicine

This content is Open Access.

Murine Model for Non-invasive Imaging to Detect and Monitor Ovarian Cancer Recurrence

12.2K Views

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08:55 min

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November 2nd, 2014

DOI :

10.3791/51815-v

November 2nd, 2014

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Natalia J. Sumi¹, Eydis Lima¹, John Pizzonia², Sean P. Orton³, Vinicius Craveiro¹, Wonduk Joo¹, Jennie C. Holmberg¹, Marta Gurrea¹, Yang Yang-Hartwich¹, Ayesha Alvero¹, Gil Mor¹

¹Department of Obstetrics, Gynecology and Reproductive Sciences, Reproductive Immunology Unit, Yale University School of Medicine, ²NatureMost Laboratories, ³Bruker Preclinical Imaging

Summary

We describe a non-invasive animal imaging platform that allows the detection, quantification, and monitoring of ovarian cancer growth and recurrence. This intra-peritoneal xenograft model mimics the clinical profile of patients with ovarian cancer.

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Keywords Ovarian Cancer

Recurrent Disease

Intraperitoneal Disease

Xenograft Model

Optical Imaging

Molecular Imaging

Tumor Growth Monitoring

Therapy Evaluation

Chapters in this video

0:05

Title

1:28

Intra-uterine Injection of Human Ovarian Cancer Cells in Athymic Nude Mice

4:21

Detection of Early Stage Intra-peritoneal Ovarian Cancer by Live In Vivo Imaging

7:22

Results: Tumor Detection with Fluorescence Imaging

8:24

Conclusion

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