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Harlaar, N.J. ; Kelder, W. ; Sarantopoulos, A. ; Bart, J.* ; Themelis, G. ; van Dam, G.M.* ; Ntziachristos, V.

Real-time Near Infrared Fluorescence (NIRF) intra-operative imaging in ovarian cancer using an αvβ3-integrin targeted agent.

Gynecol. Oncol. 128, 590-595 (2013)
DOI PMC
Open Access Green möglich sobald Postprint bei der ZB eingereicht worden ist.
BACKGROUND: In ovarian cancer, optimal cytoreductive surgery is of the utmost importance for long-term survival. The ability to visualize minuscule tumor deposits is important to ensure complete resection of the tumor. The purpose of our study was to estimate the in vivo sensitivity, specificity and diagnostic accuracy of an intra-operative fluorescence imaging system combined with an α(v)β(3)-integrin targeted near-infrared fluorescent probe. METHOD: Tumor bearing mice were injected intravenously with a fluorescent probe targeting α(v)β(3) integrins. Fluorescent spots and non-fluorescent tissue were identified and resected. Standard histopathology and fluorescence microscopy were used as gold-standard for tumor detection. RESULTS: Fifty-eight samples excised with support of intra-operative image-guided surgery were analyzed. The mean target to background ratio was 2.2 (SD 0.5). The calculated sensitivity of the imaging system was 95%, and the specificity was 88% with a diagnostic accuracy of 96.5%. CONCLUSION: Near-infrared image-guided surgery in this model has a high diagnostic accuracy and a fair target to background ratio that supports the development towards clinical translation of α(v)β(3)-integrin targeted imaging.
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Schlagwörter Ovarian Cancer ; Intraoperative Fluorescence Imaging ; Integrins; In-vivo Fluorescence ; Breast-cancer ; Model ; Identification ; Metastases ; Integrins ; Surgery
ISSN (print) / ISBN 0090-8258
e-ISSN 1095-6859
Zeitschrift Gynecologic Oncology
Quellenangaben Band: 128, Heft: 3, Seiten: 590-595 Artikelnummer: , Supplement: ,
Verlag Elsevier
Begutachtungsstatus Peer reviewed
Institut(e) Institute of Biological and Medical Imaging (IBMI)