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Francesco Prada

Researcher at University of Virginia

Publications -  86
Citations -  2472

Francesco Prada is an academic researcher from University of Virginia. The author has contributed to research in topics: Contrast-enhanced ultrasound & Medicine. The author has an hindex of 22, co-authored 80 publications receiving 1792 citations. Previous affiliations of Francesco Prada include University of Milan & Focused Ultrasound Foundation.

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The EFSUMB guidelines and recommendations for the clinical practice of contrast-enhanced ultrasound (CEUS) in Non-Hepatic Applications: Update 2017 (Long Version)

TL;DR: The updated version of the EFSUMB guidelines on the application of non-hepatic contrast-enhanced ultrasound (CEUS) deals with the use of microbubble ultrasound contrast outside the liver in the many established and emerging applications.
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Die EFSUMB-Leitlinien und Empfehlungen für den klinischen Einsatz des kontrastverstärkten Ultraschalls (CEUS) bei nicht-hepatischen Anwendungen : Update 2017 (Kurzversion)

TL;DR: The updated version of the EFSUMB guidelines on the application of non-hepatic contrastenhanced ultrasound (CEUS) deals with the use of microbubble ultrasound contrast outside the liver in the many established and emerging applications.
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Intraoperative contrast-enhanced ultrasound for brain tumor surgery

TL;DR: This study is the first large-scale implementation of i CEUS in neurosurgery as a dynamic and continuous real-time imaging tool for brain surgery and provides the first iCEUS characterization of different brain neoplasms.
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Identification of residual tumor with intraoperative contrast-enhanced ultrasound during glioblastoma resection.

TL;DR: The ability of CEUS to distinguish between tumor and artifacts or normal brain on B-mode is based on its capacity to show the vascularization degree and not the echogenicity of the tissues, therefore CEUS can play a decisive role in the process of maximizing GBM resection.
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Preoperative magnetic resonance and intraoperative ultrasound fusion imaging for real-time neuronavigation in brain tumor surgery.

TL;DR: Neuro-navigation using intraoperative US integrated with preoperative MRI is reliable, accurate and user-friendly and is less expensive and time-consuming than other intraoperative imaging techniques, offering high precision and orientation.