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Local classification of microvascular function based on contrast-enhanced ultrasound data: a feasibility study

Abstract : Dynamic contrast-enhanced ultrasound can detect microvascular flow changes during tumor development and antiangiogenic therapy. However, the standard method for microvascular flow estimation in tumors is global and can lead to bias in flow estimations in heterogeneous tumors. A new method to segment tumors according to their vascularization was investigated. In addition, parameter normalization with respect to a highly vascularized region of reference was proposed to overcome inter-exam variability in parameters. Results demonstrate the potential to locally classify tumoral tissue using parameters that describes the arrival of an ultrasound contrast agent in the tumor.
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https://www.hal.inserm.fr/inserm-01144522
Contributor : Frédérique Frouin <>
Submitted on : Tuesday, April 21, 2015 - 7:41:07 PM
Last modification on : Thursday, August 20, 2020 - 12:52:03 PM
Long-term archiving on: : Wednesday, April 19, 2017 - 2:27:33 AM

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  • HAL Id : inserm-01144522, version 1

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Maxime Doury, Alexandre Dizeux, Guillaume Barrois, Delphine Le Guillou-Buffello, Alain Coron, et al.. Local classification of microvascular function based on contrast-enhanced ultrasound data: a feasibility study. Journées RITS 2015, Mar 2015, Dourdan, France. p162-163. ⟨inserm-01144522⟩

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