Murine Model for Non-invasive Imaging to Detect and Monitor Ovarian Cancer RecurrenceNatalia J. Sumi 1, Eydis Lima 1, John Pizzonia 2, Sean P. Orton 3, Vinicius Craveiro 1, Wonduk Joo 1, Jennie C. Holmberg 1, Marta Gurrea 1, Yang Yang-Hartwich 1, Ayesha Alvero 1, Gil Mor 1
1Department of Obstetrics, Gynecology and Reproductive Sciences, Reproductive Immunology Unit, Yale University School of Medicine, 2NatureMost Laboratories, 3Bruker Preclinical Imaging
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.
