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

Natalia J. Sumi; Eydis Lima; John Pizzonia; Sean P. Orton; Vinicius Craveiro; Wonduk Joo; Jennie C. Holmberg; Marta Gurrea; Yang Yang-Hartwich; Ayesha Alvero; Gil Mor

doi:10.3791/51815

ジャーナル

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医学

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

JoVE Journal
医学

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JoVE Journal 医学

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

11,746 Views

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08:55 min

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November 02, 2014

DOI:

10.3791/51815-v

DOI:

10.3791/51815-v

•

08:55 min

November 02, 2014

•

2 Views

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

概要

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

概要

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