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Fluorescent Nanoparticles for the Guided Surgery of Ovarian Peritoneal Carcinomatosis.

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Title: Fluorescent Nanoparticles for the Guided Surgery of Ovarian Peritoneal Carcinomatosis.
Authors: Mangeolle, Tristan1,2 t.mangeolle@nancy.unicancer.fr, Yakavets, Ilya1,2,3 i.yakavets@nancy.unicancer.fr, Marchal, Sophie1,2 s.marchal@nancy.unicancer.fr, Debayle, Manon4 manon.debayle@espci.fr, Pons, Thomas4 thomas.pons@espci.fr, Bezdetnaya, Lina1,2 l.bolotine@nancy.unicancer.fr, Marchal, Frédéric1,5 f.marchal@nancy.unicancer.fr
Source: Nanomaterials (2079-4991). Aug2018, Vol. 8 Issue 8, p572. 20p.
Subjects: Nanoparticles, Ovarian cancer treatment, Cytoreductive surgery
Abstract: Complete surgical resection is the ideal cure for ovarian peritoneal carcinomatosis, but remains challenging. Fluorescent guided surgery can be a promising approach for precise cytoreduction when appropriate fluorophore is used. In the presence paper, we review already developed nearand short-wave infrared fluorescent nanoparticles, which are currently under investigation for peritoneal carcinomatosis fluorescence imaging. We also highlight the main ways to improve the safety of nanoparticles, for fulfilling prerequisites of clinical application. [ABSTRACT FROM AUTHOR]
Copyright of Nanomaterials (2079-4991) is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: <searchLink fieldCode="AR" term="%22Mangeolle%2C+Tristan%22">Mangeolle, Tristan</searchLink><relatesTo>1,2</relatesTo><i> t.mangeolle@nancy.unicancer.fr</i><br /><searchLink fieldCode="AR" term="%22Yakavets%2C+Ilya%22">Yakavets, Ilya</searchLink><relatesTo>1,2,3</relatesTo><i> i.yakavets@nancy.unicancer.fr</i><br /><searchLink fieldCode="AR" term="%22Marchal%2C+Sophie%22">Marchal, Sophie</searchLink><relatesTo>1,2</relatesTo><i> s.marchal@nancy.unicancer.fr</i><br /><searchLink fieldCode="AR" term="%22Debayle%2C+Manon%22">Debayle, Manon</searchLink><relatesTo>4</relatesTo><i> manon.debayle@espci.fr</i><br /><searchLink fieldCode="AR" term="%22Pons%2C+Thomas%22">Pons, Thomas</searchLink><relatesTo>4</relatesTo><i> thomas.pons@espci.fr</i><br /><searchLink fieldCode="AR" term="%22Bezdetnaya%2C+Lina%22">Bezdetnaya, Lina</searchLink><relatesTo>1,2</relatesTo><i> l.bolotine@nancy.unicancer.fr</i><br /><searchLink fieldCode="AR" term="%22Marchal%2C+Frédéric%22">Marchal, Frédéric</searchLink><relatesTo>1,5</relatesTo><i> f.marchal@nancy.unicancer.fr</i>
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  Data: <searchLink fieldCode="JN" term="%22Nanomaterials+%282079-4991%29%22">Nanomaterials (2079-4991)</searchLink>. Aug2018, Vol. 8 Issue 8, p572. 20p.
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  Data: <searchLink fieldCode="DE" term="%22Nanoparticles%22">Nanoparticles</searchLink><br /><searchLink fieldCode="DE" term="%22Ovarian+cancer+treatment%22">Ovarian cancer treatment</searchLink><br /><searchLink fieldCode="DE" term="%22Cytoreductive+surgery%22">Cytoreductive surgery</searchLink>
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  Data: Complete surgical resection is the ideal cure for ovarian peritoneal carcinomatosis, but remains challenging. Fluorescent guided surgery can be a promising approach for precise cytoreduction when appropriate fluorophore is used. In the presence paper, we review already developed nearand short-wave infrared fluorescent nanoparticles, which are currently under investigation for peritoneal carcinomatosis fluorescence imaging. We also highlight the main ways to improve the safety of nanoparticles, for fulfilling prerequisites of clinical application. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Nanomaterials (2079-4991) is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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              Text: Aug2018
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