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Modello murino per l'imaging non invasivo per rilevare e monitorare Ovarian Cancer Ricorrenza
JoVE Journal
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JoVE Journal Tıp
Murine Model for Non-invasive Imaging to Detect and Monitor Ovarian Cancer Recurrence
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Modello murino per l'imaging non invasivo per rilevare e monitorare Ovarian Cancer Ricorrenza

11,747 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
, , , , , , , , , ,
1Department of Obstetrics, Gynecology and Reproductive Sciences, Reproductive Immunology Unit,Yale University School of Medicine, 2NatureMost Laboratories, 3Bruker Preclinical Imaging

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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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Ovarian CancerRecurrent DiseaseIntraperitoneal DiseaseXenograft ModelOptical ImagingNear-infraredMolecular ImagingTumor Growth MonitoringTherapy Evaluation

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Cite this Article

Sumi, N. J., Lima, E., Pizzonia, J., Orton, S. P., Craveiro, V., Joo, W., Holmberg, J. C., Gurrea, M., Yang-Hartwich, Y., Alvero, A., Mor, G. Murine Model for Non-invasive Imaging to Detect and Monitor Ovarian Cancer Recurrence. J. Vis. Exp. (93), e51815, doi:10.3791/51815 (2014).

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